NEW Hugging Face Agents — First Look
Hugging Face has announced its take on Large Language Model (LLM) Agents. Similar to what we see in LangChain agents, Haystack agents, and ChatGPT plugins — but incredibly easy to get started with and with access to Hugging Face's huge hub of NLP models (taking inspiration from HuggingGPT). These agents look great, with the integration into the HF hub, multi-modality, and an easy-to-use implementation, and I'm looking forward to doing more on HF agents in the near future. 🔗 Link to notebook: https://github.com/aurelio-labs/cookbook/blob/main/gen-ai/agents/hf-agents/hf-agents-intro.ipynb 👋🏼 NLP + LLM Consulting: https://aurelio.ai 🎙️ Support me on Patreon: https://patreon.com/JamesBriggs 🤖 70% Discount on the NLP With Transformers in Python course: https://bit.ly/3DFvvY5 👾 Discord: https://discord.gg/c5QtDB9RAP 👋🏼 Socials: Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ Instagram: https://www.instagram.com/jamescalam/ 00:00 Hugging Face Agents 00:38 Agents and Tools Explained 02:15 Current Agents Landscape 04:35 Taking Inspiration from HuggingGPT 05:45 Getting Started with Hugging Face Agents 08:28 Querying the Agents 10:58 Agent Prompt Template 11:46 Conversational Chatbot Agent in Hugging Face 16:44 Community Tools in Hugging Face #artificialintelligence #nlp #openai #huggingface #generativeai
