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Hugging Face's new Agents framework allows us to build advanced LLM and chatbot agents. Using these agents we can use LLMs like gpt-3.5-turbo and gpt-4 and allow them access to all of Hugging Face's library of models enabling multi-modality, image generation, and more. One key component of the library is the ability to create custom tools for our agents, expanding their capabilities. In this video, we'll see how to do that. š Notebook: https://github.com/pinecone-io/examples/blob/master/learn/generation/hugging-face/agents/hf-custom-tools.ipynb š² Subscribe for Latest Articles and Videos: https://www.pinecone.io/newsletter-signup/ šš¼ AI Consulting: https://aurelio.ai š¾ Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 Custom Hugging Face Agents 00:10 Hugging Face Custom Tools Setup 02:58 How Agents Work in Hugging Face 03:55 Building Custom Tools 07:34 Keeping Agent Toolbox Organized 10:02 Final Thoughts on Agents and Tools #nlp #artificialintelligence #openai #huggingface
The Generative AI and Large Language Models (LLMs) course covers everything you need to know about: - Generative AI - Large Language Models (LLMs) - OpenAI, Cohere, Hugging Face - Managed vs. Open Source - LLM Libraries like LangChain and GPT Index - Long-term memory and retrieval-augmentation And more to come...