Tutorial: Working with LLMs at Scale–June 15, 2023 @ 9 am Pacific
Speaker: Yujian Tang, Zilliz
What will you learn
In this hands-on tutorial, we’ll introduce LLMs and two main problems they face when it comes to production. First, high cost. Second, lack of domain knowledge. We then introduce vector databases as a solution to this problem. We cover how a vector database can facilitate data injection and caching through the use of vector embeddings.
Then we’ll use this knowledge to build an LLM application using LlamaIndex and Milvus, the world’s most popular vector database.
What you’ll need:
- Python 3.9 or above
- A basic understanding of vectors and databases
- What is a vector database
- Why do LLMs face data issues?
- How to deal with data issues in an LLM
Meet the Speaker
Join the session for live Q&A with the speaker
Yujian Tang is a Developer Advocate at Zilliz. He has a background as a software engineer working on AutoML at Amazon. Yujian studied Computer Science, Statistics, and Neuroscience with research papers published to conferences including IEEE Big Data. He enjoys drinking bubble tea, spending time with family, and being near water.