A few months ago, I knew almost nothing about AI. Last week, I completed my first AI-based product: AI Code Assistant. I decided to share my learnings in a blog and video series. Starting with basic concepts - because reading a single tweet shouldn't require a PhD.

You can find the blog here: [ Ссылка ]

And you can check out the the AI code assistant here: [ Ссылка ]

Don't forget to come back next week for a deep dive into the design and implementation of the code assistant.

00:00 why this video?
01:55 What's GPT?
03:31 Prompt, Prediction and Inference
04:37 Fine Tuning
07:12 RAG - retrieval augmented generation
08:29 Preparing data for RAG
09:25 Chunking
11:04 Text Search
11:43 Vector Search, similarity search and embeddings
12:41 Vector DB
13:16 RAG Architecture and flow
14:13 Hybrid search
15:36 vector indexes
17:54 RAG in 4 lines of code
20:10 Challenges for AI in SaaS
22:41 What's next?

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