S L Happy - ML Digest

Ollaya: Run Decision Models Locally for Fast, Structured AI Workflows

Ollaya is an open-source runtime for local decision models. It runs models locally and turns text or JSON into choices, […]

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

Catastrophic forgetting occurs when sequential training on new data degrades a model’s performance on earlier tasks, domains, or capabilities. It

AI is getting cheaper, but not in the simple way headlines suggest. Everyday capabilities are spreading into products, laptops, and

What if building the next GPT costs more than building a skyscraper? That question is no longer just a thought

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

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