Browsing: Toolkit

banner(“4. IN-MEMORY KV CACHE (cup.cache)”) try: from cup import cache kv = cache.KVCache(name=”demo”) kv.set({“user:1”: “alice”, “user:2”: “bob”}, expire_sec=2) kv.set({“config:flag”: “on”}, expire_sec=None) print(“size after sets :”, kv.size())…

AI scientists are becoming a new interface for scientific computing. These agents read papers, write code, generate hypotheses, call APIs, and inspect files. But science is…

six months to fine-tuning their RAG pipeline. They ran five Optuna sweeps. They added a custom reranker. They fine-tuned an embedding model on their own data.…

scenarios = [ { “name”: “Safe database read”, “tool”: research_db, “kwargs”: { “table”: “customers”, “operation”: “select”, “type”: “select”, “sensitivity”: “medium” } }, { “name”: “Blocked destructive…

What Is Agent Toolkit for AWS? is an open-source project developed by AWS that helps AI coding agents work with AWS more reliably. With the recent addition…

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe…

Google’s new Skills feature inside Gemini for Chrome enables you to save Gemini prompts you’ve used on a web page, so you can use them on…

Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently…

A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language…

The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents to work without losing control of…