Introducing The New Champion of Function Calling!
AI Summary
Grock’s Llama 3 Model Release Summary
- Announcement Details:
- Grock announced the release of two open-source Llama 3 models: an 8 billion parameter model and a 70 billion parameter model.
- These models are designed for function calling.
- The models are available on the Grock platform and Hugging Face’s Transformers library.
- Performance and Benchmarking:
- The models were benchmarked using the Berkeley function calling leaderboards.
- The 70 billion parameter model ranked first, outperforming proprietary models in function calling.
- The 8 billion parameter model ranked third on the leaderboards.
- Training and Data:
- The models were trained on synthetic data to avoid overfitting.
- The synthetic data was created with assistance from a startup called Glaive AI.
- There are currently no plans to release the synthetic data set.
- Usage and Integration:
- The models are suggested to be used with an LLM router to switch between function calling and normal language tasks.
- Grock hinted at future developments in this area.
- Code Implementation:
- An API key is required to use the Grock version of the model.
- The models can evaluate mathematical expressions and perform internet searches.
- The models respond to tool calls and can loop through multiple calls for complex queries.
- Users may need to adjust queries for optimal model response.
- The models are expected to be available on other platforms like Lama soon.
- Feedback and Community:
- The video encourages viewers to share their experiences and findings.
- The models are considered very good for open-source function calling but require user testing for specific use cases.
- Conclusion:
- The video concludes with an invitation for comments and questions, and a reminder that the models can be used on Grock or locally via Hugging Face.
For further details and updates, users are encouraged to engage with the community and experiment with the models themselves.