Building And Troubleshooting An Advanced LLM Query Engine
Join us for an exciting hands-on workshop co-hosted by Arize Phoenix and Milvus, where we will delve into the world of querying using cutting-edge technologies like Arize Phoenix, LlamaIndex, LangChain, GPT 3.5 Turbo, NLTK, and Milvus. This workshop is designed for developers and enterprises seeking to apply large language models to common use cases.
In this workshop, we will guide you through the process of building and troubleshooting a powerful query engine. Before we jump into the code, we will provide a comprehensive overview of essential concepts to ensure everyone understands the foundation of what we are about to create.
Topics to be Covered:
Facets and Foibles of Large Language Models (LLMs): Understand the strengths and weaknesses of LLMs, gaining insights into how they can be effectively utilized for various applications.
Introduction to Vector Databases: Learn about the fundamentals of vector databases and their significance in handling large-scale language data.
Explore the capabilities and features of LlamaIndex: enhance the performance of language models and facilitates efficient querying.
Building a Query Engine: Step-by-step guidance on creating a robust query engine using the combined power of LlamaIndex, LangChain, GPT 3.5 Turbo, NLTK, and Milvus.
Leverage Arize Phoenix for evaluation, an open source ML Observability library: uncover clusters of user queries with limited or insufficient knowledge base entries.
By the end of this hands on workshop, you will have gained valuable insights into querying and acquired practical knowledge of leveraging cutting edge technologies to develop efficient language processing applications.
Join us for an eventful evening of learning followed by an evening of networking, delicious food, and refreshing drinks!
** Be sure to bring your computer to follow along!
