Agents, Tools, and Chains for LLMOps
Join us, September 19th and 26th for this free, 2-part, virtual workshop where participants will have hands-on experience in constructing LLM-powered AI agents .
In Part 1 of this workshop, we will discuss agent paradigms, as well as how to leverage tools and LLM chaining to customize your agents with LangChain. In Part 2, we will dive into a code-along Google Colab notebook to tackle several types of agents that can be used to tackle a variety of language tasks. Attendees will walk away with the ability to implement a specialized agent for their use case.
Key Objectives:
Deep-dive into agent architectures including simple zero-shot ReAct agents to complex Voyager and BabyAGI agents.
Implementing chains, tools and prompt templates together to create a single, coherent application.
Gain hands-on experience with a code along notebook using various LangChain agents to leverage LLM summarization, chunking and chatbot capabilities
Ideal for LLM developers, data scientists, ML engineers, and NLP enthusiasts. Join us for this deep dive into LLMOps and take your understanding of LLM chaining and ReAct prompting to the next level!
