META's New Code LLaMA 70b BEATS GPT4 At Coding (Open Source)

Matthew Berman
31 Jan 202409:25

TLDRMeta has unveiled Code LLaMA 70b, a groundbreaking coding model that surpasses GPT-4 in coding tasks. The model is open-source, allowing for both research and commercial use under the same license as previous Code LLaMA models. It comes in three versions: a base model, a Python-specific model, and an 'instruct' model fine-tuned for natural language instructions. Code LLaMA 70b 'instruct' has achieved a high score of 67.8 on human evaluation, making it one of the top-performing open models. Mark Zuckerberg emphasizes the importance of AI in coding and programming, predicting a future where large language models will transform the field. The model's capabilities were tested by attempting to build the classic Snake game in Python, showcasing its potential for complex tasks. The video also mentions the release of SQL Coder 70b, which significantly outperforms other models in SQL generation. Viewers are encouraged to engage by requesting further tests in the comments.

Takeaways

  • 🚀 META has released Code LLaMA 70b, which is likely the most powerful coding model currently available.
  • 🎉 Code LLaMA 70b is available for open-source use, allowing users to download and utilize the model.
  • 📚 There are three versions of Code LLaMA 70b: the base model, a Python-specific model, and an instruct model for natural language instructions.
  • 🏆 Code LLaMA 70b instruct achieves a high score of 67.8 on human evaluation, making it one of the top performing open models today.
  • 📈 It is considered the most performant base for fine-tuning code generation models, with potential for community development.
  • 💼 The model supports both research and commercial use under the same license as previous Code LLaMA models.
  • 📝 Mark Zuckerberg emphasizes the importance of AI models in coding and programming, foreseeing a future where natural language interfaces with large language models.
  • 🔍 Code LLaMA 70b is expected to advance further in future models, including the upcoming LLaMA 3.
  • 📊 Defog Data's SQL Coder 70b, fine-tuned on Code LLaMA 70b, outperforms other publicly accessible models for SQL generation.
  • 🔧 The model requires significant computational resources, with a recommendation to use GPU acceleration for optimal performance.
  • 💻 Despite its size, Code LLaMA 70b has been tested and run successfully on virtual machines with sufficient RAM and GPU resources.
  • 🕹️ The model's capabilities were demonstrated by attempting to generate a Snake game in Python, showcasing its potential for complex coding tasks.

Q & A

  • What is Code LLaMA 70b?

    -Code LLaMA 70b is a powerful coding model released by Meta, which is likely one of the most powerful coding models available. It is designed for code generation and is available for both research and commercial use under an open-source license.

  • How can one access Code LLaMA 70b models?

    -To access Code LLaMA 70b models, one needs to request access through a provided form. The process is straightforward, and access is typically granted quickly, allowing users to download and use the models.

  • What are the three versions of Code LLaMA 70b mentioned in the transcript?

    -The three versions of Code LLaMA 70b mentioned are the base model, a version specifically trained for Python, and the Code LLaMA 70b instruct model, which is fine-tuned for understanding natural language instructions.

  • What is the significance of Code LLaMA 70b achieving a 67.8 score on human eval?

    -Achieving a 67.8 score on human eval indicates that Code LLaMA 70b instruct is one of the highest performing open models available today, showcasing its effectiveness in generating code based on human evaluation.

  • Is Code LLaMA 70b suitable for commercial use?

    -Yes, Code LLaMA 70b models are available under the same license as previous Code LLaMA models, which supports both research and commercial use.

  • What does Mark Zuckerberg say about the importance of AI models in programming?

    -Mark Zuckerberg emphasizes that writing and editing code has become one of the most important uses of AI models. He believes that AI will eventually make programming obsolete by enabling a more natural language interface to compute with large language models, which will write code and execute it on end devices.

  • How did Defog SQL Coder 70b perform in comparison to GPT-4?

    -Defog SQL Coder 70b significantly outperformed GPT-4 in SQL evaluation, achieving a score of 93% compared to GPT-4's 82%, making it a clear winner in the benchmark.

  • What is the relationship between Code LLaMA 70b and Defog SQL Coder 70b?

    -Defog SQL Coder 70b is a fine-tuned model based on the 34 billion parameter Code LLaMA model. It has been optimized for PostgreSQL text-to-SQL generation and has shown to outperform other publicly accessible large language models.

  • What is the current status of Code LLaMA 70b in terms of updates and releases?

    -As of the transcript's date, Code LLaMA 70b has been recently released, following the original Code LLaMA and an update on January 29th, 2024. It includes foundational, Python-specific, and instruct versions.

  • How did the presenter test Code LLaMA 70b's capability to generate code?

    -The presenter tested Code LLaMA 70b by asking it to write a method to output numbers from 1 to 100 and later to write the Snake game in Python. The model provided code snippets for both requests, demonstrating its code generation capabilities.

  • What is the presenter's experience with running Code LLaMA 70b on a virtual machine?

    -The presenter ran Code LLaMA 70b on a virtual machine provided by Mast Compute, which had the model pre-installed. They used GPU acceleration to run the model and found it to be fast, although they noted that running it locally on a personal machine might be slow due to the model's size.

Outlines

00:00

🚀 Meta's Code LLaMa 70B: A New Milestone in AI Programming

Meta has released Code LLaMa 70B, its most advanced coding model to date. This model is likely to be the most powerful one available, showcasing Meta's ongoing commitment to open-source AI. The video discusses the availability of the model under the same license as previous versions, allowing for both research and commercial use. There are three versions of Code LLaMa 70B: the base model, a Python-specific model, and an 'instruct' model fine-tuned for understanding natural language instructions. The instruct model has achieved a high score on human evaluations, making it one of the top-performing open models. Mark Zuckerberg emphasizes the importance of AI in coding and programming, predicting a future where large language models will transform the way we interact with technology. The video also mentions the release of fine-tuned models like SQL Coder 70B, which significantly outperforms other models in SQL generation. The presenter expresses excitement about testing Code LLaMa 70B's capabilities, particularly its potential to build complex applications like the snake game in Python with minimal effort.

05:00

🤖 Testing Code LLaMa 70B on a Virtual Machine

The presenter has downloaded the quantized version of Code LLaMa 70B instruct model by Second State to test its capabilities on a virtual machine with substantial GPU resources. The model is quite large, requiring over 30 GB of RAM, and the test involves using full GPU acceleration. The presenter attempts to generate code for a simple method and the snake game in Python using the model. Although the initial test does not run successfully on the presenter's local machine, they express optimism about the potential of Code LLaMa 70B. They also mention their investment in LM Studio and their commitment to transparency about their affiliations. The video concludes with a call to action for viewers to like and subscribe for more content.

Mindmap

Keywords

💡Code LLaMA 70b

Code LLaMA 70b refers to a new and powerful coding model developed by Meta. It is a large language model (LLM) specifically designed for code generation and is considered one of the most advanced models in its field. The model is significant because it is open-source, allowing developers and researchers to access and build upon it. In the video, it is shown to outperform other models like GPT-4 in coding tasks, which is a notable achievement in the field of artificial intelligence.

💡Open Source

Open source refers to a type of software where the source code is made available to the public, allowing anyone to view, use, modify, and distribute the software. This approach fosters a collaborative environment where a community can contribute to the development and improvement of the software. In the context of the video, Meta's decision to release Code LLaMA 70b as open source is highlighted as a significant contribution to the AI community, as it enables further innovation and research in coding models.

💡Fine-tuning

Fine-tuning is a process in machine learning where a pre-trained model is further trained on a specific task or dataset to improve its performance for that particular task. In the video, the concept is mentioned in relation to Code LLaMA 70b, where the base model is used as a starting point for creating specialized versions, such as one specifically trained for Python or for understanding natural language instructions.

💡Commercial Use

Commercial use refers to the application of a product or technology for profit-making purposes in a business context. The video discusses the licensing of Code LLaMA 70b, which allows for both research and commercial use, meaning that the model can be legally used to develop commercial products and services, which is a significant benefit for businesses looking to integrate advanced AI capabilities into their offerings.

💡Mark Zuckerberg

Mark Zuckerberg is the co-founder and CEO of Meta (formerly known as Facebook). In the video, he is quoted discussing the release of Code LLaMA 70b, emphasizing the importance of AI models in writing and editing code. His perspective underscores the strategic direction of Meta in contributing to the development of AI technologies and their belief in the transformative potential of AI in the field of programming.

💡Large Language Models (LLMs)

Large Language Models (LLMs) are artificial intelligence models that are trained on vast amounts of text data and can generate human-like language. They are capable of performing complex tasks such as language translation, text summarization, and even writing code. In the video, LLMs are discussed in the context of their ability to take natural language instructions and execute them by writing code, which is a significant step towards making programming more accessible and less time-consuming.

💡Snake Game

The Snake Game is a classic video game where the player controls a line which grows in length as it eats food, with the goal being to avoid hitting the walls or itself. In the video, the presenter tests the capabilities of Code LLaMA 70b by challenging it to write the code for a Snake Game in Python. This serves as a practical demonstration of the model's ability to generate complex code based on natural language instructions.

💡Pygame

Pygame is a set of Python modules designed for writing video games. It is highlighted in the video as the library used by Code LLaMA 70b to generate the code for the Snake Game. The mention of Pygame illustrates the practical application of the coding model in creating functional game code, showcasing its potential for assisting in software development.

💡LM Studio

LM Studio is a platform for building and deploying AI models. The presenter mentions using LM Studio powered by Meta's compute to test Code LLaMA 70b, indicating that it is a tool that can be used to work with large AI models effectively. The disclosure of the presenter's investment in LM Studio adds a layer of transparency and context to the discussion about the tools used in the video.

💡Hugging Face

Hugging Face is a company that provides a platform for developers to share, discover, and use machine learning models. In the video, it is mentioned in the context of finding and using the Defog SQL Coder 70b model, which is based on the Code LLaMA 70b model. The platform's role demonstrates the collaborative nature of the AI community and how it facilitates the sharing of advancements in AI technology.

💡Quantized Version

A quantized version of a model refers to a version where the weights and biases of the neural network have been reduced in precision, typically to optimize for speed or size. In the video, the presenter uses a quantized version of Code LLaMA 70b to demonstrate the model's capabilities on a virtual machine. The use of a quantized model allows for faster processing and is an example of how AI models can be adapted for different computational environments.

Highlights

Meta has released Code LLaMA 70b, its most powerful coding model to date.

Code LLaMA 70b is likely the most powerful coding model available.

Meta continues to contribute to open-source artificial intelligence.

The presenter will test Code LLaMA 70b to build the Snake game in one go.

Code LLaMA 70b is available under the same license as previous models for research and commercial use.

There are three versions of Code LLaMA 70b: base model, Python-specific, and instruct model.

Code LLaMA 70b instruct achieves a high score of 67.8 on human eval.

Mark Zuckerberg emphasizes the importance of AI models in writing and editing code.

Code LLaMA is expected to make programming obsolete through natural language computation.

Large language models will execute code from natural language, potentially making apps obsolete.

Code LLaMA 70b models are open-sourced to support both research and commercial use.

Defog Data has open-sourced SQL Coder 70b, which outperforms all publicly accessible LLMs for text-to-SQL generation.

SQL Coder 70b achieved a 93% score on SQL eval, surpassing GP4's 82%.

The presenter is testing Code LLaMA 70b on a virtual machine with GPU acceleration.

Code LLaMA 70b is capable of generating a significant amount of code, including for complex tasks like the Snake game.

The presenter is an investor in LM Studio and will disclose this in all future videos.

Code LLaMA 70b's Python version and instruct version are built on top of LLaMA 2.

In benchmark testing, Code LLaMA outperformed state-of-the-art publicly available LLMs on code tasks.

The presenter will attempt to run Code LLaMA 70b locally on a MacBook Pro M2 Max if requested.

Code LLaMA 70b's release follows the introduction of 15b, 7B, and 34b models, making it the most capable of them all.

The presenter encountered issues running the Snake game generated by Code LLaMA 70b but is optimistic about resolving them.

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