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LLM + Knowledge Graph FTW
One evening, two speakers, a world of learning. Join us for a deep technical dive into Generative AI, Large Language Models and Knowledge Graphs.
When building GenerativeAI applications there are 3 common scenarios for bridging to your private data, each with different techniques: pure text, pure data, and a mix of both. We’ll walk through the data models and explore the approaches they require.
Second speaker: Adam Cowley on Building a Chatbot with Langchain
Using Langchain, we’ll walk through creating a chatbot optimised for making movie recommendations that draws from
- GPT = Generative Pre-trained Transformer
- LLM = Large Language Model
- KG = Knowledge Graph
- RAG = Retrieval Augmented Generation
When building GenerativeAI applications there are 3 common scenarios for bridging to your private data, each with different techniques: pure text, pure data, and a mix of both. We’ll walk through the data models and explore the approaches they require.
Second speaker: Adam Cowley on Building a Chatbot with Langchain
Using Langchain, we’ll walk through creating a chatbot optimised for making movie recommendations that draws from
- techniques for prompting an LLM
- applying RAG to provide correctness
- integrating with a database