LLMs & GenAI - ML Digest

Jev by TypeSafe AI: Fast, Typed Decisions for Classification

Imagine a support system reading a message: “I was charged twice, and I need a person to fix this today.”

Agent Plugins provide a standard way to package reusable instructions, tools, and data connections for AI agents. Instead of maintaining

AI-agent memory is not merely a way to retain chat history. It is the production system that extracts, scopes, retrieves,

An assistant that forgets your preferences after one chat feels less helpful. Yet sending every past message to a large

A browser UI is a moving target. A button label changes, a modal appears, or a CSS selector is refactored,

Browsers are where a surprising amount of real work still happens: searching for a supplier, checking a dashboard, entering 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

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