EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·6d ago·5 min read
What is Codemode
TL;DR
Codemode introduces support for Model Control Protocol (MCP) in Pi 1.0, allowing large language models (LLMs) to utilize custom tools effectively. This development emphasizes the importance of code in enhancing model capabilities.
✦ Why It Matters
Start integrating Codemode in your projects to enhance LLM capabilities with custom tools.
Key Takeaways
- Explore Codemode to leverage custom tools in LLMs.
- Utilize CLI and bash for effective tool composition.
- Understand the role of reinforcement learning in tool invocation.
- Focus on code as a primary resource for model training.
Full Summary
Codemode is a new feature in Pi 1.0 that integrates Model Control Protocol (MCP) support, enabling large language models (LLMs) to call custom tools. Previously, the recommendation was to avoid loading custom tools directly into the context, favoring script usage instead.
The integration of MCP allows for better tool definition and interaction, which is facilitated by a token structure on the server side. The reinforcement learning process determines when a model should invoke a tool, enhancing its learning experience.
The preference for command-line interface (CLI) and bash scripting stems from their ability to easily compose calls and help models understand file system operations. This approach not only streamlines tool usage but also enriches the model's training data.