Silpa - ML Digest

The Complete Decision Framework for ML Model Deployment: Edge, Cloud, Custom Models, and Model as a Service (MaaS)

A model can be accurate in a demo and still fail in the product. It may respond too slowly for […]

The question “Which frontier LLM is best?” has become less useful than it sounds. A model can lead a broad

Approximate nearest neighbor (ANN) search is a family of algorithms and systems for quickly answering a deceptively simple question: Given

Ask an AI assistant how to calculate a business metric, and the answer may depend on a table schema, a

Imagine asking a librarian for one page that proves a claim. The librarian first runs through the whole building and

Chunking is the process of splitting source documents into smaller pieces before they are embedded and stored in a vector

Ask a friend a hard question, like “How did the failure of Silicon Valley Bank compare to the 2008 financial

Search breaks down when wording changes but meaning stays the same. A user types “I forgot my credentials,” while the

Document ingestion is the first mile of a Retrieval-Augmented Generation (RAG) system. Before retrieval, chunking, or embedding can work, raw

Retrieval-augmented generation (RAG) promises answers grounded in an external knowledge base. In practice, an answer can be wrong because the

Imagine you are fixing a restaurant order pipeline. A customer says, “My order is wrong.” That sentence alone does not

Think of four analysts preparing for an executive meeting. One analyst brings nothing and relies on memory. Another crams all