Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy

Опубликовано 19 июля 2023, 20:27

Many people are now considering how to bring generative AI and large language models to production services and facing several challenges.

You may wonder, "How to integrate LLMs or AI chatbots with existing IT systems, databases, and business data?". "We have thousands of products. How can I let LLM memorize them all precisely?". Or "How to handle the hallucination issues in AI chatbots to build a reliable service?".

A quick solution is "grounding with embeddings and vector search." What is grounding? What are embedding and vector search? This video discusses these crucial concepts to build reliable generative AI services for enterprise use.

Resources:
Original blog post → goo.gle/43sCOyh

Stack Overflow semantic search demo → goo.gle/3OkeLgm
Stack Overflow semantic search demo sample code → goo.gle/3Omj5fm
Nomic AI visualization → goo.gle/3Y14Dwc

Google Machine Learning Crash Course: Embeddings → goo.gle/3NRfOTy

Vertex AI Model Garden → goo.gle/3pXIene
Vertex AI Embeddings API for Text → goo.gle/44TufNN
Vertex AI Matching Engine → goo.gle/44xeYCO
Gen App Builder Enterprise Search → goo.gle/4798UlN

Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech