Open-source LLMs as LangChain Agents
Hugging Face Blog
Open-source large language models have reached sufficient capability to power agent workflows that delegate tasks like calculation and web search. Mixtral-8x7B achieved a 73% score on an evaluation benchmark, surpassing GPT-3.5's 71% despite not being fine-tuned for agent tasks, while smaller models like Llama2-70b scored only 40%. Open-source models can now replace proprietary alternatives for building reasoning agents integrated with external tools and APIs through LangChain.
