Testing Llama 3: Did it Pass the Coding and Reasoning Test?

In this video, the host tests Llama 3, a large language model released by Meta, through various challenges including coding, logical reasoning, and game creation. The model successfully passes coding tasks such as generating a function to sum numbers, finding discounts, converting digital to audio, and creating an identity matrix. It also performs well in logical reasoning tests, solving problems about sales and earnings. However, it fails in generating an ECG sequence, which is corrected after a prompt. The most impressive feat is the creation of a functional snake game in Python, showcasing the model's capabilities in game development. The video concludes with the host's enthusiasm for the model's performance and potential impact on the open-source large language model community.

Takeaways

• 🚀 Llama 3, a large language model by Meta, was tested for coding, logical reasoning, and game creation capabilities.
• 📈 The model successfully passed basic, easy, medium, and hard challenges, including creating functions for sum of numbers, discount calculation, digital to audio conversion, and finding domain names from DNS pointers.
• 🔍 Llama 3 faced difficulty with the expert level challenge of generating an ECG sequence, requiring code regeneration to attempt a fix.
• 🧠 In logical and reasoning tests, Llama 3 correctly answered questions about sales and earnings when asked separately but struggled when both questions were combined in one request.
• 💡 The model demonstrated the ability to process tasks in parallel but needed a step-by-step breakdown to correctly address combined queries.
• 🏆 Llama 3 outperformed most open-source models, showing a high level of proficiency up until the expert level challenge.
• 🎮 A Python snake game was created using Llama 3, showcasing its ability to generate complex code for game development.
• 🛠️ The generated snake game code was executable and functional, including features like game reset upon collision and score tracking.
• 📚 The video script suggests that Llama 3 is a promising model in the open-source large language model domain, with potential for further fine-tuning and development.
• 🔗 The video host encourages viewers to subscribe to their YouTube channel for more content on Artificial Intelligence and related topics.
• 📈 The host also prompts viewers to like, share, and subscribe to help the video reach a wider audience.
• 🔄 The video demonstrates the iterative process of testing, error identification, and code correction when working with advanced AI models like Llama 3.

Q & A

What is the subject of the video being discussed?

The video discusses the testing of Llama 3, a large language model released by Meta, through various challenges including coding, logical reasoning, and game creation.

Which platform is used for testing the Llama 3 language model?

The Hugging Face chat platform is used for testing the Llama 3 language model, which contains the 70 billion parameter model.

What is the first coding task that Llama 3 is asked to perform?

The first coding task for Llama 3 is to create a function that returns the sum of two numbers in Python.

How does Llama 3 perform on the medium challenge of creating a function to convert digital to audio?

Llama 3 successfully generates the code for converting digital to audio and passes the test.

What is the result of Llama 3's attempt to generate an ECG sequence function?

Llama 3 initially fails to generate a correct ECG sequence function, but after being asked to fix the error, it successfully regenerates and passes the test.

What logical reasoning test is performed regarding Natalia selling clips to her friends?

The logical reasoning test involves calculating the total number of clips Natalia sold in April and May, where she sold 48 clips in April and half as many in May.

How much did W earn for 50 minutes of babysitting at a rate of $12 per hour?

W earned $10 for 50 minutes of babysitting, as 50 minutes is equivalent to 5/6 of an hour.

What is the issue when Llama 3 is asked to solve two logical reasoning problems in the same request?

Llama 3 is able to identify and solve the two different problems separately but struggles when both are asked in the same request without providing answers step by step.

What is the final challenge presented to Llama 3 in the video?

The final challenge is to create a snake game in Python, which Llama 3 successfully accomplishes by generating and running the game code.

What is the significance of Llama 3's performance in the video?

Llama 3's performance is significant as it outperforms many open-source models, passing all levels up to the expert challenge and demonstrating capabilities in coding, logical reasoning, and game creation.

What does the video creator plan to do with Llama 3 in the future?

The video creator plans to create more videos involving Llama 3, including fine-tuning the large language model.

How does the video creator encourage viewers to stay engaged with their content?

The video creator encourages viewers to subscribe to their YouTube channel, click the Bell icon to stay updated, and like the video to help it reach a wider audience.

Outlines

00:00

🚀 Introduction to Llama 3 Language Model Testing

The paragraph introduces the Llama 3 language model developed by Meta, which is a large-scale AI model. The presenter expresses excitement about testing various aspects of the model, including coding, logical reasoning, and game creation. The video also mentions a previous video covering the basics and benchmarks, which will be linked in the description. The testing begins with simple Python coding tasks, such as creating a function to return the sum of two numbers, and progressively moves to more complex challenges like generating an ECG sequence. The paragraph highlights the model's performance, noting that it passes all tests up to the 'very hard' level, where it encounters its first failure in the 'expert' level challenge.

05:00

🎮 Creating a Snake Game with Llama 3

Following the coding and reasoning tests, the presenter moves on to a final challenge: creating a snake game using Python. The Llama 3 model automatically generates the code for the game, which is then copied and pasted into a code editor. The presenter installs the necessary package and runs the game, demonstrating its functionality. The game features a playable snake that moves across the screen, resets upon hitting a wall, and keeps a score. The presenter expresses great satisfaction with the model's capabilities, indicating that it could be a game-changer in the open-source large language model domain. The video concludes with a call to like, share, subscribe, and stay tuned for more content related to fine-tuning and exploring large language models.

Keywords

Llama 3

Llama 3 refers to a large language model developed by Meta. In the context of the video, it is the subject of a series of tests to evaluate its capabilities in coding, logical reasoning, and game creation. The model is significant as it is compared against open-source models and is shown to outperform many in the tasks it undertakes.

Coding Test

A coding test is a method of assessment where an individual's ability to write and understand code is evaluated. In the video, Llama 3 undergoes a coding test that includes tasks such as creating functions to return the sum of two numbers, find discounts, convert digital to audio signals, and generate an identity matrix.

Logical and Reasoning Test

This type of test evaluates an individual's ability to think logically and draw conclusions based on given information. In the video, Llama 3 is given scenarios, such as calculating the total number of clips sold or the earnings from babysitting, to determine its logical and reasoning capabilities.

Game Creation

Game creation involves the process of designing and developing a video game. The video demonstrates Llama 3's ability to generate code for creating a simple snake game in Python, showcasing its potential in programming and game development.

Hugging Face

Hugging Face is a company that specializes in natural language processing (NLP) and provides tools and libraries for AI development. In the video, it is mentioned as a platform that contains the Llama 3 model, which is used for the tests conducted.

Instruct Parameter Model

An instruct parameter model is a type of AI model that is trained to follow instructions provided to it. The video highlights that Llama 3, a 70 billion parameter model, is capable of following instructions to perform various tasks, such as coding and logical reasoning.

ECG Sequence

An ECG (Electrocardiogram) sequence represents the electrical activity of the heart and is typically used in medical contexts to diagnose heart conditions. In the video, Llama 3 is tasked with generating an ECG sequence, which is a complex challenge that tests its ability to handle expert-level problems.

Open-Source Models

Open-source models refer to AI models that are publicly accessible and whose design is openly shared, allowing anyone to use, modify, and distribute them. The video compares Llama 3's performance with that of various open-source models, noting that Llama 3 outperforms many of them.

Python

Python is a widely-used high-level programming language known for its readability and versatility. Throughout the video, Python is the programming language of choice for conducting the coding tests and creating the snake game, demonstrating its relevance in AI and software development.

DNS Pointer

A DNS (Domain Name System) pointer is a type of DNS record that points a domain name to an IP address. In one of the coding challenges, Llama 3 is asked to find the domain name from a DNS pointer, which tests its ability to handle networking-related tasks.

Identity Matrix

An identity matrix is a square matrix in which all the elements of the main diagonal are ones and all other elements are zeros. It is used in linear algebra and has the property that when it is multiplied by any matrix of the same size, the result is the same matrix. In the video, Llama 3 is tasked with creating a function to generate an identity matrix, which is a hard challenge in the coding test.

Highlights

Testing Llama 3, a large language model released by Meta.

Llama 3's performance will be evaluated through coding, logical, and reasoning tests, as well as game creation.

The use of Hugging Face Chat with the Llama 3 70 billion instruct parameter model for the tests.

Successful creation of a Python function to return the sum of two numbers by Llama 3.

Llama 3 correctly generates a function to find the discount on products.

The model creates a detailed function to convert digital to audio with examples.

Llama 3 successfully finds the domain name from a DNS pointer.

Generation of an identity matrix function passes the test for Llama 3.

Llama 3 fails the expert level challenge of generating an ECG sequence but then corrects the error upon request.

Outperformance of open-source models in challenges up to very hard difficulty by Llama 3.

Logical and reasoning test where Llama 3 correctly calculates the total number of clips sold by Natalia.

Correct calculation of earnings for babysitting based on the time worked by Llama 3.

Llama 3's ability to process tasks separately but not simultaneously when presented with two logical problems at once.

The model demonstrates step-by-step problem-solving but still fails to provide the correct answer when both problems are asked together.

Impressive performance by Llama 3 in creating a snake game in Python, showcasing its capabilities in game creation.

The snake game created by Llama 3 resets correctly upon hitting a wall and includes a scoring system.

Potential of Llama 3 to be a game changer in the open-source large language model world.

Plans to create more videos and fine-tune Llama 3 for even better performance.

Viewer engagement encouraged through likes, shares, subscriptions, and watching for further updates on Llama 3.