🌟StarCoder2 - Open-Source Code LLM Crushing Llama 2 & DeepSeek!
AI Summary
Summary: Disruption of Software Engineering by AI
- Industry Impact
- AI, specifically coding LLMs (Large Language Models), is disrupting software engineering.
- Entry-level software engineering roles are being replaced by AI.
- Star Coder 2 Release
- Big Code released Star Coder 2, an advanced AI coding model.
- Features:
- Versions: 3B, 7B, 15B parameters.
- Supports 600+ programming languages.
- 16,000 token context window.
- Grouped query attention and sliding window attention.
- Commercially friendly license.
- Integration with local co-pilots like Zed and GitHub Co-pilot.
- Training and Performance
- Trained on Stack V2 dataset (largest code dataset with 900 billion tokens).
- Additional 3.1 trillion tokens from repo-level information datasets.
- Outperforms other models in benchmarks: Human Eval, Crux Eval 1, DS1000, GSM 8K, and Repo Bench V1.
- More efficient than larger models like Code Llama 34B.
- Data Quality and Model Training
- Quality of training data is crucial for model performance.
- Training on real code changes and reviews provides high-quality data.
- Stack Overflow considers selling its data for AI training.
- Concerns and Future of Coding AI
- Balancing code optimization with human readability.
- Potential future where AI could train compilers.
- Big Code’s Description of Star Coder 2
- Open LLMs in sizes 3B, 7B, 15B.
- Trained on Nvidia hardware using Nvidia Nemo and infrastructure.
- Community and Extensions
- Big Code, led by Hugging Face and ServiceNow, aims for open-source AI models.
- VSS Code extension available for Star Coder.
- Big Code models leaderboard shows Star Coder’s performance.
- Personal Reflection
- The author questions the implications for software engineers and the accessibility of such AI tools for students and professionals.
- Engagement
- The author plans to create a video on installing Star Coder with VSS Code and Zed.
- Invites audience feedback on the use of AI tools like GitHub Co-pilot.
- Conclusion
- The author expresses a commitment to sharing knowledge and invites interaction with the content.