Large language models, which are the AI algorithms that power chat-bots like ChatGPT, are powerful because they are trained on enormous amounts of publicly available data from the inter-net. While they are capable of summarizing, creating, predicting, translating and synthesizing text and other content, they can only do so on the data they have been trained on, at a specific point in time.
That's why businesses are looking to methods like retrieval-augmented generation, or RAG, and fine-tuning to bridge the gap between the general knowledge these LLMs have and the up-to-date and specific knowledge that makes them useful for enter-prises.
00:00:00 Introduction to Customizing AI Models in Business
00:00:50 Vector Databases Explained
00:01:14 Image Search
00:01:44 Use Case on Healthcare Patient Similarity Search
00:02:55 Benefits of Vector Databases in Healthcare
00:04:01 Use Case on E-commerce Product Recommendations
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