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Lessons (10)

• Embeddings, Semantic Search, and RAG

  … The embedding model, language, chunk size, and query all affect the results. Combine vector search with keyword search …

• Neural Networks and Deep Learning

  Understand layers, activations, loss, gradient descent, embeddings, and when deep learning is a good fit. The big idea …

• 500 Users Upload Documents at Once: Design the Background Job Pipeline

  … For every file the backend must extract text, clean it, split it into chunks, generate embeddings, store vectors …

• Developer Learning Plan and Document-Assistant Capstone

  … print(f"[{match['id']}] {match['text']}") This is keyword overlap, not embedding search or a language model. It …

• Python and Math Foundations with Runnable Examples

  … 1, 0], [0, 1])) 0.0 Real text embeddings are learned representations. These hand-written vectors demonstrate the …

• What to Learn in AI, and in What Order

  … 4. Deep learning: Study neural networks, gradient descent, embeddings, and why GPUs help. Then explore the model family …

• Count, for_each, Functions, and Stable Identities

  … Verify expressions with terraform console before embedding complex transformations. Dynamic blocks A dynamic block generates repeated nested blocks …

• AI Specialties and Real-World Examples

  … structured information Route tickets to teams Tokenization, classification, embeddings, transformers Speech Audio → text, or text → audio Transcribe a …

• EC2, Storage and Auto Scaling

  … Startup scripts should report failures and avoid embedding credentials. Example: two instances become four Suppose each healthy instance …

• Go Fundamentals

  … if one method needs a pointer receiver, use pointers for all methods of that type. Embedding is Go …