Run your own AI (but private)

The video script introduces the concept of running a private AI model, similar to chat GPT, but entirely on one's own computer. The host demonstrates how to set up a local AI model, emphasizing the ease and speed of the process, and highlights its privacy benefits as the data remains personal and not shared with external companies. The video also showcases how to connect personal documents and notes to the AI for customized Q&A. It further discusses the application of private AI in professional settings where public AI tools may be restricted due to privacy and security concerns. VMware's role in enabling on-premise AI deployment is underscored, with a walkthrough of how to fine-tune AI models using their platform. The script concludes with a quiz for viewers, offering free coffee to the first five participants who score 100%.

Takeaways

• 🤖 Private AI is an AI model that runs locally on your computer without sharing your data with external companies.
• 🚀 Setting up your own AI is straightforward and can be done in about five minutes, offering a free and powerful tool at your disposal.
• 📚 You can connect your personal knowledge base, including notes and documents, to your private AI and ask questions about your own data.
• 🛠️ Private AI can be particularly beneficial in job settings where privacy and security concerns prevent the use of public AI models like Chat GPT.
• 💼 Companies can utilize Private AI solutions by VMware to run AI on-premises in their data centers, which is a game-changer for internal data usage and security.
• 🌐 Huggingface.co is a platform with over 500,000 AI models, many of which are open and free to use, offering a wide range of applications.
• 📈 Training a large language model (LLM) like LLaMa-2 involves significant computational resources, but fine-tuning such a model with new data can be done with far fewer resources.
• 🔍 RAG (Retrieval-Augmented Generation) allows an LLM to consult a database for accurate responses without needing to be fine-tuned on that data.
• 🧠 Fine-tuning an LLM is a process where the AI learns specific information relevant to a user's data, which can be proprietary or personal.
• 🔧 VMware's Private AI, in partnership with Nvidia, provides a comprehensive solution that includes the necessary tools and infrastructure for companies to run their own AI.
• ☕️ The video concludes with a quiz for viewers, with the first five to achieve a perfect score receiving free coffee from Network Chuck Coffee.

Q & A

What is the main advantage of running a private AI model on your computer?

The main advantage is that it keeps your data private and secure, as it doesn't share your information with any external companies or entities.

How long does it typically take to set up your own AI on a laptop computer?

It is mentioned to be ridiculously easy and fast, taking about five minutes to set up.

What is the significance of having a local AI model that doesn't require an internet connection?

It allows for AI functionality even in situations where internet access is not available, such as during a crisis or in remote locations.

Why might companies restrict the use of AI models like chat GPT?

Companies might restrict the use of such AI models due to privacy and security concerns, as they don't want sensitive company data to be shared with external entities.

How does VMware contribute to the possibility of running private AI?

VMware enables companies to run their own AI on-premises in their own data centers, providing the necessary infrastructure and tools for private AI operations.

What is an AI model and how does it differ from the one mentioned in the script?

An AI model is an artificial intelligence pre-trained on data provided by humans. The one mentioned in the script is a private AI model that runs locally on the user's computer, unlike chat GPT.

How many AI models are available on huggingface.co?

There are over 505,000 AI models available on huggingface.co.

What is the name of the tool used to run different LLMs (Large Language Models)?

The tool used to run different LLMs is called O Lama.

What is the term used to describe the process of training an AI model with new data?

The term used to describe this process is 'fine-tuning'.

How many parameters are typically changed during the fine-tuning process of a 7 billion parameter model?

During the fine-tuning process, only 65 million parameters are changed, which is approximately 0.93% of the model.

What is RAG and how does it assist in providing accurate answers?

RAG stands for Retrieval-Augmented Generation. It allows an LLM to consult a database of information before answering questions to ensure the responses are accurate and up-to-date.

What is the benefit of using VMware's private AI solution for companies?

VMware's private AI solution provides a complete package that includes the necessary infrastructure, tools, and resources, making it easier for companies to implement and manage their own private AI without needing extensive setup or resources.

Outlines

00:00

🤖 Introduction to Private AI and Its Benefits

The speaker introduces a private AI system, different from chat GPT, which operates entirely on the user's computer, ensuring data privacy. The video aims to demonstrate setting up personal AI and connecting it with personal knowledge bases. It discusses the relevance of private AI in professional settings where privacy concerns prevent the use of public AI models. VMware is highlighted for enabling on-premise AI solutions, and the viewer is encouraged to explore their offerings.

05:01

🚀 Setting Up Personal AI and WSL Installation

The process of setting up a local AI model on a computer is outlined, emphasizing its ease and the lack of internet requirement. The video guides viewers through installing Windows Subsystem for Linux (WSL) on Windows, which converges the process for both Linux and Windows users. It continues with installing a tool called 'O Lama' to run various Large Language Models (LLMs), and the importance of having an Nvidia GPU for enhanced performance is noted.

10:02

🧠 Fine-Tuning AI with Private Data

The concept of fine-tuning an AI model with proprietary data is introduced, allowing companies to maintain privacy while enhancing AI's utility. VMware's role in facilitating AI fine-tuning with their private AI and Nvidia's tools is discussed. The process of fine-tuning is illustrated, showing the preparation of data, the relatively small amount of data required, and the changes made to the model. The video emphasizes the efficiency of this process compared to the original training of the model.

15:02

📚 Integrating AI with Personal and Business Data

The video explores the integration of personal AI with databases of product information or internal documentation. It introduces the Retrieval-Augmented Generation (RAG) system, which allows AI to consult databases before providing answers. The powerful combination of VMware's infrastructure and Nvidia's AI tools is highlighted as a complete solution for running private local AI. The video also mentions partnerships with Intel and IBM, offering a range of options for businesses and data scientists.

20:04

🌟 Running a Private GPT with Personal Knowledge Base

The video concludes with an advanced tutorial on running a private GPT using a separate project called Private GPT. It outlines the process of setting up a Linux-based project on a Windows PC with WSL and an Nvidia GPU. The viewer is shown how to upload documents and ask questions about them, demonstrating the system's ability to search and retrieve information from personal notes and documents. The video wraps up with a quiz for viewers, offering free coffee to the first five people who achieve a perfect score.

Keywords

Private AI

Private AI refers to an artificial intelligence system that operates on a personal computer or local server, ensuring that the user's data remains private and is not shared with external entities. In the video, the host discusses running a private AI model on a local machine, emphasizing the importance of data privacy and control. This concept is central to the video's theme of personal data security and the empowerment of individuals to manage their own AI experiences.

Chat GPT

Chat GPT, or Chat Generative Pre-trained Transformer, is a type of large language model developed by OpenAI that is capable of generating human-like text based on given prompts. The video contrasts Private AI with Chat GPT, highlighting that while both are AI models, Private AI runs locally and does not require an internet connection, thus enhancing privacy.

Data Privacy

Data privacy is the practice of protecting personal information from unauthorized access, use, or disclosure. It is a key concern in the video, as the host explains that by running a private AI, users can keep their data secure and not share it with third-party companies. This is particularly relevant for individuals and businesses that are concerned about the confidentiality of their information.

LLM (Large Language Model)

An LLM is an artificial intelligence model designed to process and understand large volumes of language data. The video discusses the Llama two model, an example of an LLM, and how it was pre-trained on a vast amount of data. LLMs are significant in the context of the video because they represent the advanced capabilities of AI in processing and generating language, which can be harnessed in a private setting.

Fine-tuning

Fine-tuning is the process of further training a pre-trained AI model with new, often more specific, data to adapt it to a particular task or dataset. In the video, the host talks about fine-tuning an AI model with proprietary data so that it can better serve the needs of a business or individual. This process is crucial for customizing the AI's responses to be more relevant and accurate.

VMware

VMware is a company that provides cloud computing and virtualization software. In the video, VMware is highlighted as a sponsor and is discussed in the context of enabling private AI solutions for businesses. VMware's offerings are presented as a way for companies to run their own AI models on-premises, which aligns with the video's theme of private and controlled AI usage.

NVIDIA

NVIDIA is a technology company known for its graphics processing units (GPUs) and AI computing platforms. The video mentions NVIDIA in the context of providing powerful GPUs that are essential for training and running AI models efficiently. The company's role is significant as it underscores the hardware requirements for implementing advanced AI solutions.

WSL (Windows Subsystem for Linux)

WSL is a compatibility layer for running Linux binary executables natively on Windows. The host of the video discusses using WSL to install and run Linux-based applications, such as AI models, on a Windows machine. This is an important tool for the video's narrative as it demonstrates how to leverage Windows' capabilities to run private AI models.

RAG (Retrieval-Augmented Generation)

RAG is a technique that combines traditional language model generation capabilities with a search system to retrieve relevant information before generating a response. The video describes using RAG to connect an LLM with a database of information, allowing the model to provide more accurate answers by consulting the database. This concept is integral to the discussion of enhancing AI's functionality with external data sources.

On-Premises

On-premises refers to technology systems that are hosted and operated within a company's own physical location rather than at a remote location or in the cloud. The video talks about running AI on-premises using solutions like VMware, which allows companies to maintain control over their data and operations within their own data centers.

Data Center

A data center is a facility that houses a large number of servers, storage systems, and other components used for managing, processing, and storing large amounts of data. The video mentions data centers in the context of companies running their own AI within their own infrastructure, emphasizing the control and security benefits of such an approach.

Highlights

The video introduces a private AI system that operates locally on one's computer, offering privacy and control over personal data.

The process of setting up a personal AI is straightforward, quick, and free, taking only about five minutes.

The video demonstrates connecting a personal knowledge base, including notes and documents, to a private AI for personalized queries.

Private AI can be particularly beneficial in professional settings where internet-based AI tools may be restricted due to privacy and security concerns.

VMware's sponsorship enables the discussion of on-premise AI solutions, allowing companies to run AI within their own data centers.

The video provides a link to explore VMware's contributions to private AI and its capabilities.

An AI model is defined as a pre-trained artificial intelligence on data provided by users, with Chat GPT being a well-known example.

Huggingface.co is a platform hosting over 505,000 AI models, many of which are open and free for public use.

The Llama two model, developed by Meta (Facebook), was trained on over 2 trillion tokens of data and is available for public use.

The process of installing and running a local AI model using a tool like O Lama is shown, highlighting its compatibility with Linux, macOS, and Windows via WSL.

The video showcases the speed advantage of running AI models on a GPU, especially noticeable when compared to CPU-only operations.

The potential use of private AI in scenarios like a zombie apocalypse for information access without internet is humorously discussed.

The video explores the concept of fine-tuning AI models with proprietary data to enhance their performance for specific tasks or knowledge bases.

VMware's private AI solution, in partnership with Nvidia, provides an all-in-one package for companies to fine-tune AI models with ease.

The video explains the process of fine-tuning an AI model with new data, emphasizing that it requires far fewer resources than the initial training.

RAG (Retrieval-Augmented Generation) is introduced as a method for AI models to consult databases for accurate responses without needing to be retrained.

VMware's offering is praised for its comprehensive tools that simplify the process of setting up and running a private AI, making it accessible to companies and individuals.

The video concludes with a quiz for viewers, with the top five scorers receiving free coffee from Network Chuck Coffee.