MIND BLOWING AI Voice (NotebookLM) & My AI Favorite Workflows

Summary

Dans ce script de vidéo, l'hôte explore l'utilisation avancée des outils d'IA pour améliorer le workflow de codage. Il partage son expérience avec Cursor AI, un outil qui permet de rédiger du code de manière plus efficace en utilisant des techniques de prompting avancées. Le script illustre également comment transformer des vidéos YouTube en transcriptions grâce à un script Python, puis comment utiliser ces transcriptions pour créer des résumés structurés avec l'aide d'IA. L'hôte conclut en montrant comment intégrer ces informations dans Google's Notebook LM pour générer une interprétation audio d'un podcast basée sur le contenu, offrant une nouvelle dimension à l'apprentissage et à la productivité.

Takeaways

• 😲 L'auteur est impressionné par la capacité des outils AI à interpréter et transformer du contenu en une expérience audio riche et structurée.
• 🧠 L'utilisation de l'IA pour créer des scripts de podcast à partir de contenus textuels est une approche innovante pour la diffusion d'informations.
• 💻 L'importance de la communication efficace avec les outils AI de codage est soulignée, en utilisant des métaphores de la vie quotidienne pour clarifier les demandes.
• 🔍 L'auteur utilise divers outils AI pour collecter et traiter des informations, montrant comment ils peuvent être combinés pour améliorer la productivité.
• 📝 L'intégration de l'IA dans les workflows de codage est expliquée, mettant l'accent sur la rédaction de requêtes précises pour obtenir des résultats optimaux.
• 🛠️ L'utilisation de balises XML dans les requêtes pour structurer et clarifier les demandes est présentée comme une technique efficace.
• 🤖 La distinction entre les modèles d'IA, tels que les modèles GPT-3 et Claude, est abordée, expliquant leurs forces et faiblesses respectives.
• 🚀 L'IA est utilisée pour générer des transcriptions de vidéos YouTube, transformant des données non structurées en informations exploitables.
• 🎧 La création d'un podcast à partir de transcriptions de vidéo est une démo pratique de la puissance des outils AI pour la création de contenu audio.
• 📚 L'auteur recommande l'exploration des différentes fonctionnalités des outils AI, comme la génération d'audio et de transcriptions, pour enrichir les workflows personnels.

Q & A

Quel est le but principal de la vidéo?

Le but principal de la vidéo est de partager des workflows d'AI avancés et démontrer comment utiliser divers outils AI pour améliorer la productivité et la qualité du travail, en particulier dans le domaine du codage.

Comment l'interprétation podcast-style AI est-elle créée?

L'interprétation podcast-style AI est créée en collectant des informations à l'aide d'outils AI, puis en les alimentant dans un modèle de notebook LM développé par Google pour générer une interprétation audio des points clés du contenu.

Quels sont les outils AI mentionnés dans le script pour améliorer la codification?

Les outils AI mentionnés comprennent Cursor AI, perplexity, Search DPT et l'utilisation de modèles OpenAI tels que l'01 et le CLA 3.5 pour améliorer la codification.

Quelle est la différence entre l'utilisation d'un modèle 01 et de CLA 3.5 selon le script?

Les modèles 01 sont conçus pour les projets à grande échelle nécessitant beaucoup de puissance de codage, tandis que le CLA 3.5 est mieux adapté aux tâches de codage quotidiennes et aux besoins d'itérations rapides.

Comment le script suggère-t-il d'utiliser efficacement Cursor AI pour la codification?

Le script suggère d'utiliser Cursor AI en tant que copilote de codage, en communiquant clairement avec l'AI pour obtenir des résultats exceptionnels, en utilisant des techniques avancées de prompting comme les balises XML et le role-playing.

Quels sont les avantages de l'utilisation de balises XML dans les prompts selon le script?

Les balises XML aident à structurer et à clarifier les instructions fournies à l'AI, ce qui permet aux modèles de mieux comprendre les objectifs et de générer du code de haute qualité.

Pourquoi le script compare-t-il les modèles 01 à des supercars et le CLA 3.5 à un SUV fiable?

Cette comparaison illustre la puissance et la capacité de traitement des modèles 01 pour les grands projets, tout en soulignant l'efficacité et la rapidité du CLA 3.5 pour les tâches de codage quotidiennes.

Quelle est la technique de prompting mentionnée dans le script pour simplifier les projets complexes?

La technique de prompting mentionnée est la division du projet en parties plus petites et plus gérables, ce qui permet de guider l'AI étape par étape et d'éviter les erreurs.

Comment le script explique-t-il l'importance de choisir le bon modèle AI pour la tâche en main?

Le script explique que le choix du bon modèle AI dépend des besoins spécifiques du projet, en utilisant l'analogie de choisir le bon outil pour un travail particulier, mettant en évidence les avantages respectifs des modèles 01 et du CLA 3.5.

Quelle est la conclusion du script sur l'utilisation des outils AI pour améliorer la productivité?

La conclusion du script est que l'utilisation de ces outils AI, en particulier Cursor AI et les modèles OpenAI, peut considérablement améliorer la productivité et la qualité du travail, en particulier dans le domaine du codage, en tant qu'aide précieuse pour les développeurs.

Outlines

00:00

🤖 Introduction aux outils IA et workflow avancé avec Cursor AI

Le script débute par une introduction aux différents outils d'intelligence artificielle (IA) et leur utilisation dans les workflows. L'animateur souhaite partager des workflows IA qu'il utilise personnellement et souligne l'importance de la communication efficace avec l'IA pour obtenir des résultats optimaux. Il mentionne la création d'une interprétation de podcast IA basée sur le contenu de la vidéo, réalisée en utilisant diverses outils IA pour rassembler des informations rapidement et efficacement, puis en les introduisant dans un notebook LM créé par Google pour obtenir une interprétation audio IA impressionnante des points clés.

05:02

🔧 Utilisation avancée de Cursor AI pour la rédaction et la structuration de contenu

Dans ce paragraphe, l'animateur présente un workflow qui consiste à utiliser Cursor AI pour rédiger et structurer des informations. Il explique comment il utilise Cursor AI en tant qu'éditeur de fichiers pour réécrire des informations dans un format structuré et éliminer les éléments non essentiels. L'animateur montre également comment il utilise des commandes spécifiques pour améliorer la lisibilité et la structure du contenu, soulignant l'efficacité de cette approche pour transformer des données non structurées en documents structurés et lisibles.

10:03

🎥 Création de transcripts à partir de vidéos YouTube et extraction de points clés

L'animateur décrit un workflow qui implique la conversion de vidéos YouTube en transcriptions textuelles à l'aide d'un script Python. Il explique comment il utilise ce script pour obtenir des transcriptions non structurées de ses propres vidéos, puis comment il les traite à l'aide d'outils IA pour extraire des points clés importants. Il mentionne l'utilisation de l'API OpenAI pour traiter les transcriptions et extraire des informations clés, puis de Cursor AI pour reformater ces informations en un format plus lisible et structuré.

15:04

📝 Fusion de contenu et création d'une vue d'ensemble audio avec Notebook LM

Dans ce paragraphe, l'animateur explique comment il fusionne divers types de contenu, y compris des guides de prompts, des transcriptions et des informations extraites, pour créer un fichier unique. Il présente ensuite l'utilisation de Notebook LM par Google pour créer une vue d'ensemble audio de ce contenu, en utilisant la fonctionnalité expérimentale de discussion approfondie qui résume les sujets clés de la source. L'animateur exprime son enthousiasme pour cette approche, qui transforme le contenu en un format audio interactif et structuré, similaire à un podcast.

20:05

🚀 Conclusion et utilisation des modèles IA pour la programmation

Le script se termine par une conclusion où l'animateur exprime son impressionnante expérience avec les outils IA et les workflows qu'il a partagés. Il discute brièvement des avantages des modèles IA tels que les modèles 01 d'OpenAI et CLA 3.5, soulignant leurs forces respectives pour différentes tâches de programmation. L'animateur recommande aux spectateurs d'essayer ces outils et de découvrir comment ils peuvent les utiliser pour améliorer leur propre workflow de développement de logiciels.

Keywords

💡AI

AI, ou Intelligence Artificielle, fait référence à la capacité des ordinateurs de raisonner, de prendre des décisions et d'apprendre de manière similaire à l'homme. Dans la vidéo, l'AI est utilisée pour créer des outils de workflow, interpréter des contenus et générer des transcriptions de vidéos. Elle est au cœur du message vidéo qui explore les différentes façons dont l'AI peut être intégrée dans les processus de travail pour améliorer l'efficacité et la productivité.

💡Cursor AI

Cursor AI est mentionné comme un outil d'assistance dans la programmation qui utilise l'IA pour aider les développeurs à coder plus efficacement. Dans le script, l'auteur utilise Cursor AI pour réécrire des informations de manière structurée et pour générer des documents structurés avec des suggestions efficaces. Il illustre comment l'IA peut être utilisée pour 'monter en niveau' dans le développement de logiciels.

💡prompting

Le terme 'prompting' fait référence à l'acte d'inviter ou de diriger l'IA pour qu'elle effectue des tâches spécifiques. Dans le script, l'auteur discute de techniques avancées de 'prompting' avec Cursor AI, montrant comment structurer ses demandes pour obtenir des réponses plus précises et utiles de la part de l'IA.

💡transcription

La transcription est le processus de conversion d'enregistrements audio en texte. Dans le script, l'auteur utilise un script Python pour transformer des vidéos YouTube en transcriptions textuelles, ce qui permet d'obtenir des données non structurées qu'il peut ensuite traiter et analyser avec d'autres outils d'IA.

💡chat GPT

Chat GPT est mentionné comme un outil d'IA qui permet de générer des réponses textuelles basées sur des entrées de transcription. Dans le script, l'auteur utilise chat GPT pour extraire des points importants de transcriptions de vidéos, montrant comment l'IA peut être utilisée pour résumer et structurer des informations brutes.

💡notebook LM

Notebook LM fait référence à un outil d'IA développé par Google qui permet de créer des notebooks interactifs. Dans le script, l'auteur utilise notebook LM pour générer une interprétation audio d'un document markdown, créant ainsi une expérience de podcast à partir de contenus textuels.

💡workflow

Un workflow est une séquence d'étapes organisées pour accomplir une tâche ou un projet. Dans le script, l'auteur partage ses workflows personnels qui utilisent divers outils d'IA pour collecter des informations, générer des transcriptions et extraire des informations clés, mettant en évidence l'importance de l'IA dans l'optimisation des processus de travail.

💡coding buddy

Le terme 'coding buddy' est utilisé de manière métaphorique pour décrire l'interaction avec l'IA dans le cadre de la programmation. Dans le script, l'auteur compare l'utilisation de Cursor AI à travailler avec un ami de programmation, soulignant comment l'IA peut être guidée et沟通以 obtenir des résultats plus efficaces.

💡XML tags

Les balises XML sont des étiquettes utilisées pour marquer les sections spécifiques dans un document XML. Dans le script, l'auteur mentionne l'utilisation de balises XML dans les 'prompts' pour structurer les demandes envoyées à l'IA, améliorant ainsi la clarté et l'efficacité des instructions.

💡role-playing

Le rôle de jeu fait référence à la stratégie de 'prompting' où l'IA est assignée un rôle spécifique pour qu'elle puisse répondre avec un niveau d'expertise élevé. Dans le script, l'auteur donne un exemple où il assigne à l'IA le rôle d'un ingénieur logiciel senior pour optimiser les algorithmes, illustrant comment l'IA peut être orientée vers une approche plus profonde et spécialisée.

Highlights

AI tools are becoming increasingly prevalent, offering next-level workflows for productivity.

AI can create podcast-style interpretations of content, showcasing its ability to generate human-like audio.

Cursor AI is highlighted as a tool for enhancing coding efficiency through AI assistance.

Effective communication with AI is emphasized as crucial for achieving optimal results.

The importance of being specific with AI prompts is compared to ordering at a restaurant.

Cursor AI is used as a file editor to rewrite and structure information more effectively.

A Python script is introduced to transcribe YouTube videos, demonstrating the power of AI for content conversion.

ChatGPT is utilized to extract key takeaways from transcripts, showcasing its analytical capabilities.

The process of refining AI-generated content with Cursor AI for clarity and readability is explained.

Notebook LM by Google is introduced as a tool for creating structured documents and audio overviews from text.

The creation of an AI podcast from compiled transcripts is described, emphasizing the innovative use of AI for content summarization.

The practical application of AI tools for personal learning and content consumption is discussed.

XML tags are mentioned as a method for improving the clarity and effectiveness of AI prompts.

The assign-a-role technique is introduced as a way to tap into AI's expertise for specific tasks.

Breaking down complex goals into smaller parts is recommended for better AI assistance in project management.

The strengths of different AI models, such as the 01 models and Claude, are compared for various coding tasks.

The versatility of AI tools is praised for their ability to switch between models for different coding needs.

The potential of AI-generated audio content for learning and everyday use is highlighted.

Transcripts

there's just a bunch of AI tools popping

up everywhere these days so today I

thought I could share some of my AI

workflows uh I think some of this is

just Next Level so I definitely think

there is something useful here you can

pick up to but before we dive into the

workflow I just wanted to show you this

AI podcast style interpretation of my

content that is just super impressive uh

and this is something we will create

today and the way we're going to do that

is collecting a bunch of information

pretty quick and effective and very

productive using different AI tools and

then we going feed it into this uh

notebook LM that is created by Google

and then we will get this amazing if you

ask me uh

audio AI podcast interpretation of the

key takeaways from that content so I

just want to listen to 30 seconds now

and keep in mind while you're listening

to this now this is not humans this is

AI and I think it's amazing so let's

just listen for about 30 seconds before

we move on to the workflows pretty wild

right like you're coding away and

suddenly boom there it is elegant

efficient code appearing almost out of

thin air it's like magic almost it's not

magic but it's getting close cursor AI

is all about harnessing that AI power to

you know kind of level up your coding

game okay that sounds amazing but

there's got to be a catch right you're

right you can't just like sit back and

expect miracles the key here is learning

to really communicate effectively with

your uh with your AI coding buddy so

it's more than just saying WR me some

code way more think of it like this you

wouldn't just walk walk into a

restaurant and tell the chef make me

dinner yeah well I mean I might but I

get your point right you'd be

specifically you know what are you

craving what are your dietary needs

maybe even you know mention a dish you

saw online that got you inspired oh for

sure I'd be dropping hints about those

truffle fries I saw on Instagram got to

be specific exactly and it's the same

with AI coding the more I I can't just

Express how impressed I am but it's

because when you watch the video now

this is made up I didn't mention to

being in those

analogies uh so I'm just so super

impressed by this it's so um uh yeah

what do you call it humanik I don't know

but now let's just show you how I did

this so let's just get into it to show

off some of my workflows I thought we

could just set a topic for today so

that's going to be Advanced prompting

with cursor AI so sometimes I just start

on perplexity I think this is a good AI

options you can have the pro version I

have the free version at the moment so

I'm just going to run a prompt a list of

the best tips on Advanced prompting with

cural so let me just run this and I just

like this I think it's super easy to use

uh compared to Google there's a bunch of

other Alternatives like search DPT and a

lot of different things right so we're

just going to do this pretty easy I'm

just going to copy this right I'm going

to go back so I'm kind of leveraging

cursor here in a different way uh I also

like to use cursor as a file editor

right so let's just say perlex or

something like that MD so I'm just going

to paste in everything we find here uh

for now I think we just remove the

citations right and here we have yeah

bunch of information but what I like to

do I like to use cursor for this so we

have to put on cursor tab here so we can

actually do some

autocomplete uh I'm just going to select

the whole thing for perplexity contrl K

and here I'm going to do like prompt so

I'm just going to do rewrite information

in a more structured format and remove

any fluff and for writing I like to pick

claw 35 Sonet so we're going to do that

and when we press enter here now we're

going to get like this diff so we can

see actually what is changing and you

can see here this is brightening this in

yeah kind of changing up kind of what we

had so I'm going to accept this save it

and here we kind of have our first well

structured document here with some

simple but powerful suggest questions

how to use cursor when doing prompting

on cursor right so that is kind of one

workflow I use a lot uh from perplexity

into cursor rewrite and I have kind of

the structure here in markdown format uh

I like this I think it's super powerful

uh so let me show you kind of my second

workflow this is a bit different uh here

I have created a script that can take uh

a YouTube video and turn it into a

transcript so uh it's a super easy

python script I can share it if you want

just let me know in the comment section

if you want this uh so let's head over

to YouTube I search for all about AI

cursor just to use my videos in this

video so we can just copy uh let's just

copy this video so this is a video I did

on cursor we can just go back to my

script and here we can kind of paste in

the URL right let me save that uh let's

clear this test here and we can just run

this now so this is going to fetch the

video it's going to use whisper to

transcribe this into text so we're going

to get some unstructured data that we

can work more on so let me just finish

this one and we're going to store that

okay so that was the video transcribed

so this was the first video so now I can

just grab this transcript here we have

in this markdown just want to save it to

transcript one right okay so we have

done that and I W to clear this I want

to go back to my code here and now I

want to grab a second video so yeah I

think I have a second video here on open

AI copy the link go back to my my code

here and I'm going to paste in my second

URL right we're going to run this again

and then I'm going to collect my second

transcript right and then we kind of

have the unstructured data we want then

we're going to move this over to a new

AI tool to make some takeaways from it

okay so now you can see our second

transcription is done so what I'm going

to do now is I'm going to grab this I'm

going to go into transcription 2 and

save it in here so now we have two

different transcripts right uh that is

kind of unstructured data it's just a

transcript from video so what we want to

do now or like I do is I go over to chat

GPT I'm selecting o1 preview for this so

this is the new model right and I create

this XML Tex transcript one transcript

two so I'm just going to go uh not here

but here and grab uh let's it doesn't

really matter transcript one and go back

to um open AI paste in my first

transcript and let's go grab the

transcript two right select that and

paste that in here and now kind of I

have a prompt here I want to use to

extract key takeaways from this and that

is going to be you can see we have this

action so from the transcripts above

extract the most important takeaways

using cursor with open AI models

prompting and use cases so I'm just

going to run this now with open AI

preview and we can take what we get from

01 preview here bring it over to cursor

again to kind of rewrite this into the

format we want right okay so you can see

open AI to for 17 seconds here are kind

of the key takeaways from all of this

right okay uh I'm not going to go too

much into it now so let's just copy this

and let's head back to cursor here right

uh let's paste it in and yeah that looks

pretty good if you ask me uh but I'm

sure there are some

wrong uh 01 models okay this looks

pretty good it looks like it kind of got

the translation between the models

pretty good here 01 mini right sometimes

it's those like Z1 but this looked

pretty

good uh but

again uh let's do like a quick run down

here here uh command control K and I

want to do a prompt here in cursor so I

actually read some of the content and is

very good so I just want to do reduce

the number of stars make it a bit more

readable don't remove any content so now

we kind of want to use CLA 35 Sona to

kind of clear up this right a bit so we

can get some yeah you can see here we

get a bit of a different layout here uh

that I think is a bit more easy to read

right yeah this looks pretty good so I'm

going to accept that I'm going to SA it

and yeah I think this is pretty nice uh

I guess I kind of want to keep those

Stars here I guess something like this

right okay so now we have kind of turned

both our transcripts into like a super

nice effective structured takeaways from

those two videos and I read through it

and it looks perfect if you ask me so

conclusion all1 models have specific

strengths while there are not

replacement for faster models in all

scenarios 01 models are valuable for

specific use cases in more large scale

coding

generation clo 3.5 for daily use for

everyday coding needs yeah I just like

this very much I think it's a super good

um

merging uh and takeaways from the both

transcripts that were kind of

unstructured data right so I'm super

happy with this and I kind of think we

have all the content we want now uh I

think I'm just want to grab maybe one

more small thing let me take a look here

so I just want to include my uh own

prompt guide that I have made so these

are 10 tips and some additional tips

that I like to use when I'm doing

prompting so I'm just going to copy this

uh we're going to head back to kind of

our uh file here so I'm just going to do

I'm just going to do prompt guide I

don't know MD right paste it in and save

it so now I kind of

have everything I wanted here

right so we have the prompting guide we

have the transcripts we have the

perplexity extracted information so I

just want to move all of this

into this file because I I don't think

we need to add so many files here so let

me just grab all of this put it into one

file and then I want to show

you uh notebook LM so now that we have

our Advanced prompting with cursor AI

file uh I want to go back here I want to

go to not notebook lm. gooogle right and

here we can click on try notebook LM

okay so we're going to create a new

notebook so I'm just going to click on

create here and this gives us the

options now to add different sources so

you can do website text uh but of course

we are going to choose our markdown file

that we have created right so let me

just uh grab that okay so you can see

now let me zoom in a bit uh we have

uploaded our file we get like a text

summary here provide explores around

advancing promp techniques using cursor

AI right and now we can create different

stuff here so is the audio overvie

overview that I'm most impressed by uh

but there are some good things here we

can do FAQs we can try that right so now

we are creating a note based on this

file so this is going to be like a

frequently asked questions thing right

so you can see cursor AI fq what is the

best way to use command K and we get a B

bunch of questions and a bunch of

answers so this could be very useful

right if you need this but what I wanted

to do and what I think is so cool is

this audio overview so this is uh a

lively Deep dive discussions that

summarizes the key Topic in your sources

this is an experiment feature below are

some notes to help you get started right

uh okay so this looks pretty interesting

so we're just going to generate this

audio now so this could take a few

minutes sometimes it's like one of my

equations was 15 minutes long

uh so we're just going to let this cook

and we're going to come back uh when

this is finished to have a listen to

everything we kind of compile compiled

into one file now and how will this will

sound in an audio format right okay so

the audio is done you can see here it's

11 minutes and 12 seconds so what I want

to do now is uh let's listen to like 10

seconds then I can download this and I

can slap some uh subtitles on and then

we can listen to one of two minutes of

it just to see how it turned out and

just to enjoy the experience of this so

let's listen to 10 seconds and then I'm

going to take it uh and do some captions

on it ever feel like you know you're

trying to speak AI but it's like not

quite fluent you know what I mean like

you know there's more these tools can do

but you're just scratching the surface

yeah definitely it's a learning curve

for sure that that sounds great right I

think it's pretty cool uh but like I

said uh I'm going to download this and

I'm going to stop some captions on it

and then just listen to the first two

minutes to see how it turned out okay so

here we have it so uh yeah you can see

put some captions on some nice animation

background opacity and now you kind of

have a nice podcast so uh if you want to

drop out here if you don't want to

listen to it I'm just going to listen a

few minutes and kind of do my quick

takeaways at the end and you feel free

to stay if you want to but this is going

to be the end of the video if you're

interested in hearing how it turned out

feel free to stay and we do a quick wrap

up of this workflow note LM uh at the

end ever feel like you know you're

trying to speak AI but it's like not

quite fluent you know what I mean like

you know there's more these tools can do

but you're just scratching the surface

yeah definitely it's a learning curve

for sure totally and that's what we're

diving into today we're talking about

cursor AI it's like having this like

coding buddy but they also happen to be

like this mind melding AI it's pretty

wild right like you're coating away and

suddenly boom there it is elegant

efficient coat appearing almost out of

thin air it's like magic almost it's not

magic but it's getting close cursor AI

is all about harnessing that AI power to

you know kind of level up your coding

game okay that sounds amazing but

there's got to be a catch right you're

right you can't just like sit back and

expect miracles the key here is learning

to really communicate effectively with

your uh with your AI coding buddy so

it's more than just saying write me some

way more think of it like this you

wouldn't just walk into a restaurant and

tell the chef make me dinner yeah well I

mean I might but I get your point right

you'd be

specifically you know what are you

craving what are your dietary needs

maybe even you know mention a dish you

saw online that got you inspired oh for

sure I'd be dropping hints about those

truffle fries I saw on Instagram got to

be specific exactly and it's the same

with AI coding the so I'm just

interested to hear now if they get in

into remember we fed a lot of

information about Advanced prompting

with cursor AI so I'm looking forward to

see I think they transition into this

now this was more kind of like an intro

I guess more specific and structured you

are with your requests those are called

prompts by the way the better the AI can

understand what you're after and deliver

code that's not just good but

exceptional so it's like treating my AI

coding buddy like a five-star Chef I can

get on board with that but how do I

actually become a master at this whole

prompting thing well lucky for you

that's what we're diving into today

we're going to unpack some seriously

powerful techniques you can use okay so

that was the intro that was pretty cool

it seems like the audio is fading a bit

but keep let's keep listening like right

away even if you're totally new to AI

coding we're also going to be comparing

different AI models like open ai's 01

models and the ever popular clae but

first let's start with one of the most

useful tricks I found using XML tags in

your prompts XML tags is that like

bringing us back to like the early 2000s

kind of but trust me they're making a

huge comeback in the AI world and for

good reason they offer that structure

and Clarity that don't mind um the the

captions it was a bit rushed I can see

now but XML tags that's a good start AI

models really crave so how does that

actually work okay let's say you're

trying to I don't know create a function

to calculate the factorial of a number

instead of just typing out this

long-winded request you could use XML

tags to make it super clear like this

yeah write a function to calculate the

factorial of a given number ah so the AI

sees that goal tag and it's like okay I

know exactly what they want exactly this

is so impressive it's just a perfect way

describing this I'm just like mind blown

here it's like giving them signposts you

know makes your instructions crystal

clear and remember our listener today is

all about efficiency and that's what

good prompting is all about this is

giving me some serious like tidy code

Vibes but for AI instructions I like it

okay what other prompt engineering

Secrets can you let me in on okay let's

talk about the assign a roll technique

it's pretty cool it's based on the idea

that by actually giving your AI a

specific role you tap into a different

level of like expertise okay now I'm

really interested give me an example so

imagine you're working on this like

really complex algorithm you could start

your prompt with something like this Ro

you're a senior software engineer izing

in algorithm optimization so now my AI

isn't just any coder they're like the

algorithm Whisperer precisely you're

setting the context right and that so

they are kind of going through what was

kind of clearly stated in the

information we gathered from all our

sources right so it's pretty cool I can

hear

all but there's not a lot to pick on

here if you ask me helps the AI tap into

a deeper level of knowledge it can lead

to some really impressive results this

is blowing my mind it's like I'm giving

my AI coding buddy a promotion before

they even written a line of

code but you know what about those times

when I'm feeling like seriously

overwhelmed by a project you the AI

assistant right that's where our next

tip comes in breaking down the goal into

smaller more manageable Parts yeah I'm

intrigued tell me more about breaking

things down so instead of throwing the

whole project at your AI buddy at once

you're guiding them I'm catching myself

like thinking this is a real

conversation it's so believable and they

have this small um and ah I think that's

pretty humanlike right I'm step by step

you know you're providing really clear

instructions for each stage of the

process gotcha so it's like giving them

bite-sized pieces of the puzzle instead

of the whole jumbled mess all at once

exactly and this is especially helpful

for those complex tasks right it can

really prevent errors and just make the

whole thing less overwhelming it's like

project management but for AI I'm loving

this so we've got C you heard a

laughter so he's kind of making this

small joke and she's kind of H

laughing

amazing to AI prompt engineering XML

tags role playing this is a whole new

world of coding but what about the AI

models themselves we've mentioned these

open ai1 models a few times what makes

them so special and how do they like

stack up against other models like so

let's listen a bit about what they say

about 01 Claude and then we call it

claw fantastic question the 01 models

they are definitely fascinating and they

really excel in certain areas but just

like choosing you know the right tool

for a job selecting the best AI model

really depends on the task at hand so

let's uh let's dive into the world of 01

models and see what they bring to the

table all right let's dive into those 01

models are we talking like the supercars

of the AI coding World they can be for

sure especially for those you know

larger scale projects the ones that need

a lot of horsepower think of the 01

models especially the 01 mini as the

heavy lifters the ones you call in when

you need to refactor like a massive code

base or just generate a ton of code in

one go okay so we're talking serious

coding muscle here but what makes them

so good at handling those massive

projects one word output the 01 mini for

example it boasts a pretty impressive

64k output hold on 64,000 tokens that

doesn't really mean much to me can you

give me a real world compar I like that

that that was something I emphasized in

my videos so I thought it was pretty

cool that they brought out up and it's

kind of rephrasing the question because

oh I didn't get that that was pretty

cool right person okay so imagine you're

building like a a a complex web

application right tons of features all

the bells and whistles with that 64k

output the 01 mini could potentially

generate the entire front end framework

in one shot wait this is just amazing I

think it's so

good the entire front end like

everything a user sees and interacts

with wow that's like writing I don't

know a whole chapter of a book in one

sitting but with code yeah it's

seriously impressive but I imagine

there's got to be some kind of trade-off

for all that power right like are they

slow or something you're right they can

be a tad slower than other models

especially for those smaller simpler

tasks it's like they're taking their

time to really you know mul things over

analyze every angle before they spit out

that beautifully crafted code so they're

like that friend who takes forever to

order at a restaurant because they're

analyzing every single and here he goes

with the restaurant anology again that

was a bit funny uh let's just complete

this segment and then a quick wrap up

item on the menu uhuh yes yeah exactly

but then they end up recommending the

most amazing dish you've ever tasted

okay I can see that but so if I need

something quick what then then you might

want to go with something like Claude

3.5 which is a fantastic model for you

know those

day-to-day cating tasks oh I like the

pause there like that fantastic daytoday

coding test that was good debugging code

completion those sorts of things it's

also really great for iterative work you

know where you're constantly making

small changes testing refining so like

choosing between a sports car and like a

reliable SUV you've got your 01 for

those highspeed coding Sprints and then

you're clawed for the everyday hustle of

navigating through code right exactly

and the cool thing that was a bit

strange but about tools like cursor AI

is that you can often switch between

models seamlessly so you always have the

the right tool for the job no matter

what you're working

on again I think this just

amazing I love it having your cake and

eating it too yeah perfect so uh just a

quick wrap up of this I'm super

impressed I just see a bunch of use

cases for this for uh personal things

right if I want to learn something fit a

bunch of information download it put it

up

Spotify put on my air pods just go

listen to it it's very comfortable to

listen to and it's not just reading

exactly what you put in but it's more

creating like a podcast script and it's

nice to have two people interacting when

you listen that is more of like a

podcast style right so yeah I think this

just is the next level of AI voice audio

and kind of interaction between these

things so it hasn't got a lot of

attention uh I don't know why but I

guess all1 stole the show but uh for me

this is something I'm going to be using

more to to learn stuff and I recommend

going trying it out so pretty cool but

uh thank you for tuning in thank you for

uh yeah listening to me watching my

workflows and how I created this so yeah

hope you enjoyed it and we speak soon