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

Meta has unveiled Code LLaMA 70b, a cutting-edge open-source coding model outperforming GPT-4. This includes a base model, a Python-specific version, and an instruct model fine-tuned for natural language instructions. With a score of 67.8 on human eval, it's among the highest-performing open models, supporting both research and commercial use. Mark Zuckerberg emphasizes AI's role in the future of programming, and Defog's SQL Coder 70b demonstrates impressive performance. The model's release is expected to accelerate advancements in AI-assisted coding and information processing across domains.

Takeaways

• 🚀 Meta has released Code LLaMA 70b, a powerful coding model that outperforms GPT-4 in coding tasks.
• 🌐 Code LLaMA 70b is open-source, allowing for widespread access and contribution to AI development.
• 🔗 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.
• 📈 Code LLaMA 70b achieves a high performance score of 67.8 on human eval, making it one of the top-performing open models available today.
• 🔧 The base model is excellent for fine-tuning, offering a strong foundation for code generation models.
• 💬 Mark Zuckerberg emphasizes the importance of AI in the future of programming and the role of large language models in making traditional app development obsolete.
• 🏆 Defog SQL Coder 70b outperforms all other publicly accessible models for Postgres text-to-SQL generation, scoring 93% on SQL eval compared to GPT-4's 82%.
• 🎉 Code LLaMA 70b models support both research and commercial use under the same license as previous models.
• 🔍 The model is available on Hugging Face, and users can access it by filling out a form and requesting access.
• 📊 Code LLaMA 70b has already shown the capability to write complex programs like the Snake game in Python using the Pygame library.
• 🛠️ Despite its massive size, the model can run on powerful VMs equipped with GPUs, enabling faster processing and practical application testing.

Q & A

What is Meta's new coding model called and what is its significance?

Meta's new coding model is called Code LLaMA 70b. It is significant because it is their most powerful coding model to date and is considered one of the highest performing open models available today, capable of fine-tuning code generation models and supporting both research and commercial use.

How can one access Code LLaMA 70b?

Access to Code LLaMA 70b is available through a form on Meta's website where interested parties can request access. The process is quite quick, with some users gaining access within an hour of requesting it.

What are the three versions of Code LLaMA 70b released?

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

How does Code LLaMA 70b perform in human evaluations?

Code LLaMA 70b achieves a score of 67.8 in human evaluations, making it one of the highest performing open models available.

What is Mark Zuckerberg's perspective on the role of AI in programming?

Mark Zuckerberg believes that artificial intelligence will make programming obsolete as large language models will be able to take natural language and execute it directly on end devices, essentially making apps obsolete. He also highlights the importance of coding for AI models to process information more rigorously and logically.

What is the impact of Code LLaMA 70b on other domains besides coding?

The ability to code has proven to be important for AI models to process information in other domains more rigorously and logically, indicating that Code LLaMA 70b could have a broad impact beyond just code generation.

How does the Defog SQL Coder 70b compare to other models in SQL generation?

Defog SQL Coder 70b outperforms all publicly accessible large language models for PostgreSQL text to SQL generation, scoring 93% on SQL eval, which is significantly higher than GPT-4's 82%.

What is the licensing condition for Code LLaMA 70b models?

Code LLaMA 70b models are available under a license that allows for both research and commercial use, provided that any changes made to the model are also open-sourced.

What is the minimum hardware requirement to run Code LLaMA 70b instruct quantized version?

The minimum hardware requirement to run the Code LLaMA 70b instruct quantized version is 30 GB of RAM or more, and it is recommended to use full GPU acceleration for optimal performance.

What was the outcome of the test to write the Snake game in Python using Code LLaMA 70b?

The test resulted in the generation of a substantial amount of code using the Pygame library. However, when the code was run, the game did not work as expected, indicating that further adjustments and optimizations might be needed for the model to perform specific tasks accurately.

What is the future outlook for Code LLaMA models?

The future outlook for Code LLaMA models includes the release of Llama 3 and more fine-tuned models. These advancements are expected to be included in future iterations of the model, further enhancing its capabilities and performance.

Outlines

00:00

🚀 Meta's Release of Code Llama 70b

Meta has unveiled Code Llama 70b, its most advanced coding model yet. This model is expected to be one of the leading AI models in the field. The announcement was made by AI at Meta, and the model is now available for open-source use under the same licensing as previous Code Llama models. The release includes three versions: a 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 of 67.8 on human evaluation, making it one of the top-performing open models available today. Mark Zuckerberg, Meta's CEO, emphasized the importance of AI in the future of programming and highlighted the potential of large language models to replace traditional coding. The release also includes a statement from Zuckerberg about the significance of AI in code writing and editing. The video script includes a test of the model's capabilities, specifically its ability to build the snake game in one go.

05:00

🧠 Testing Code Llama 70b's Capabilities

The video script details the process of testing Code Llama 70b's capabilities, including its performance on a virtual machine with GPU acceleration. The script describes the download and installation of the quantized version of the model, which is a massive 50 GB in size and requires over 30 GB of RAM. The model is tested by writing a method to output numbers from 1 to 100 and then by attempting to write the snake game in Python. While the model successfully generates a substantial amount of code, it does not run the game successfully on the local machine. The script also mentions the investment in LM Studio and the intention to include disclosures in future videos. The video ends with a call to action for viewers to like and subscribe for more content.

Keywords

META

META is a company mentioned in the title, which seems to be involved in the development of advanced coding models. In the context of the video, META has just released Code LLaMA 70b, a powerful coding model that outperforms GPT-4. The company's continuous contributions to open-source artificial intelligence are highlighted, emphasizing their role in the AI community and their commitment to making AI advancements accessible to a broader audience.

Code LLaMA 70b

Code LLaMA 70b is a new, highly capable coding model developed by META. It is described as the most powerful coding model to date, suggesting that it has superior performance compared to previous models. The '70b' in its name likely refers to the model's size, indicating it has 70 billion parameters, which is a measure of its complexity and capacity for learning. The model's ability to beat GPT-4 at coding tasks is a significant achievement, positioning it as a leading tool in the field of AI and programming.

Open Source

The term 'Open Source' refers to a philosophy and practice in software development where the source code of a program is made available to the public. This allows anyone to view, use, modify, and distribute the software freely. In the context of the video, META's decision to release Code LLaMA 70b as open source is significant because it encourages collaboration, innovation, and widespread adoption. It also means that the model can be used for both research and commercial purposes, furthering the advancement of AI and its applications.

Snake Game

The 'Snake Game' is a classic video game that involves controlling a line that grows in length as it consumes items on the screen. In the video, the Snake Game is used as a test case to demonstrate the capabilities of Code LLaMA 70b. The model's ability to code the game from scratch in one go is intended to showcase its advanced programming skills and its potential as a tool for developers.

Python

Python is a widely-used high-level programming language known for its readability and ease of use. In the context of the video, a specific version of Code LLaMA 70b has been trained for Python, indicating that the model has been optimized to understand and generate Python code more effectively. This is significant because Python is a popular language for various applications, including web development, data analysis, and artificial intelligence, making the specialized model potentially very valuable for developers working in these areas.

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. In the video, Code LLaMA 70b models are fine-tuned for different purposes, such as understanding natural language instructions or generating code in Python. This process adapts the model to particular tasks, enhancing its ability to generate more accurate and relevant outputs for those tasks.

Commercial Use

Commercial use refers to the application of a product, service, or technology in a business context for the purpose of generating revenue. In the video, it is confirmed that Code LLaMA 70b models can be used commercially, in addition to research purposes. This means that businesses can utilize the model to develop products or services, potentially revolutionizing industries by automating coding tasks and reducing development time and costs.

Mark Zuckerberg

Mark Zuckerberg is the co-founder and CEO of Facebook, which is part of the company META. In the video, he is quoted discussing the release of Code LLaMA 70b and the impact of AI on programming. His statement reflects the belief that AI, particularly large language models, will significantly change the landscape of programming and application development by making it easier to convert natural language into executable code, potentially reducing the need for traditional coding skills.

SQL Coder 70b

SQL Coder 70b is a specialized version of the Code LLaMA 70b model that has been fine-tuned for generating SQL (Structured Query Language) code. SQL is a domain-specific language used for managing and querying relational databases. The video mentions that SQL Coder 70b outperforms other publicly accessible models on SQL tasks, achieving a high score on SQL evaluation. This highlights the model's potential to automate database-related tasks and improve efficiency in data management.

Hugging Face

Hugging Face is an open-source platform that provides tools and resources for developers working with natural language processing (NLP) models. In the video, it is mentioned as the platform where the SQL Coder 70b model is available. This platform allows developers to access, use, and contribute to a wide range of AI models, fostering collaboration and innovation in the field of AI and machine learning.

Quantized Version

A quantized version of a model refers to a process where the model is optimized by reducing the precision of the numerical values used in the model's parameters. This is done to improve the model's efficiency and reduce the computational resources required to run it. In the context of the video, the quantized version of Code LLaMA 70b instruct is used, which is nearly 50 GB in size and requires a significant amount of RAM and GPU resources to run effectively. This version is intended for use in environments with high-performance hardware, allowing for faster and more efficient processing of the model's outputs.

Highlights

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

Code LLaMA 70b is now available as an open-source model.

Three versions of Code LLaMA 70b are being released: the base model, a Python-specific model, and an instruct model.

Code LLaMA 70b achieves 67.8 on human eval, making it one of the highest-performing open models available today.

The base model of Code LLaMA 70b is the most performant for fine-tuning code generation models.

Code LLaMA 70b supports both research and commercial use under the same license as previous models.

Mark Zuckerberg emphasizes the importance of AI in the future of programming and information processing.

Large language models are expected to replace traditional coding with natural language direct to compute.

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

SQL Coder 70b is based on the 34 billion parameter Code LLaMA model and has achieved a 93% score on SQL eval.

Code LLaMA 70b models come with a license that allows free use, including commercial, as long as changes are also open-sourced.

Code LLaMA 70b has already been updated from the original model released on August 24th, 2023, to the current version.

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

Support for Code LLaMA 70b has been released, and it is available for use.

Code LLaMA 70b is a massive model requiring significant computational resources to run efficiently.

The instruct version of Code LLaMA 70b is fine-tuned for understanding natural language instructions.

Code LLaMA 70b has demonstrated the capability to write complex programs, such as the Snake game in Python.

Despite its capabilities, Code LLaMA 70b is not guaranteed to run successfully on all local machines due to its resource requirements.

The release of Code LLaMA 70b signifies a significant advancement in AI's role in programming and software development.