creating data-aware applications with large language models
Jacob Antony (~jacob1) |
Description:
This talk will go over the use cases of creating applications that utilize provider-agnostic LLMs via langchain framework. I will cover the following: - introduction to LLMs - basics of prompt engineering - elevating prompt engineering with LLM frameworks like langchain - examples (AI interviewer and conversational analytics)
Prerequisites:
basic python
Video URL:
https://youtu.be/MB7S_WCSlqM
Speaker Info:
I am the solutions architect at an HR-tech startup with a focus on creating products that utilize artificial intelligence. I have led the development of multiple AI-enabled products relevant to the hr-tech industry like resume parsers, recommendation engines, ai interviews etc.