BAIR's platform is  dedicated to providing insights and resources for researchers and practitioners in the field of artificial intelligence (AI), focusing on AI research, machine learning algorithms, and computer vision techniques. Through papers, publications, and research projects, BAIR offers insights into  AI technologies and their applications in various domains. Researchers can learn about deep learning models, reinforcement learning algorithms, and AI ethics to advance the field of AI and machine learning.

BAIR

TinyAgent is a small language model (SLM) that can perform complex reasoning and function calling. It can be deployed locally at the edge, reducing the need for cloud connectivity and ensuring privacy. TinyAgent achieves improved function calling performance through fine-tuning on a specialized dataset and the use of Tool RAG for efficient tool selection based on user queries. The model can also be quantized to further reduce latency and model size.

TinyAgent: Function Calling at the Edge

Fine-tuning for Improved Function Calling Reasoning