Models & Labs
DSGym Framework for Data Science Agents Introduced
Together AI Blogmedium confidence
Why it matters
- →This framework provides a comprehensive tool for evaluating and improving the performance of data science agents, which is crucial for advancing AI applications in this field.
DSGym is a new evaluation and training framework designed for LLM-based data science agents, featuring over 90 bioinformatics tasks and 92 Kaggle competitions. The framework claims to achieve state-of-the-art performance with its 4B model among open-source models.
Read originalMore from Together AI Blog
.png)
© Together AI BlogModels & Labsother
Together AI Partners with Adaption
Together AI and Adaption have formed a partnership to integrate Together Fine-Tuning into Adaptive Data, enabling teams to optimize datasets and deploy stronger open models.
Together AI Blog
© Together AI BlogGeneral AIother
Together AI addresses Copy Fail vulnerability
More in Models & Labs
Models & Labsother
New release of llama.cpp b8991
The latest version b8991 of llama.cpp has been released, featuring updates for various operating systems.
llama.cpp Releases
Models & Labsother
llama.cpp update enhances compatibility and performance
The latest update to llama-mmap improves compatibility with various platforms and model sizes. Key enhancements include support for 32-bit wasm and updates to gguf.cpp style.
llama.cpp Releases
