This directory defines the files that the programs in this repository write and read: a key file, a leaf file and a proof file, with the public files that fix their shape. It also tells what a ...
The Industrial AI Assistant is a local-first incident-investigation copilot. It combines predictive telemetry, optional visual inspection, synthetic incident memory, grounded root-cause analysis, ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
Incidents where API keys are leaked due to code written by developers, leading to cloud bankruptcy, are endless. When requesting code reviews from LLMs, cases where confidential credentials or unverif ...
A Python middle layer called CATAP, deployed at SLAC's LCLS and CLARA, abstracts low-level accelerator control system ...
I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?
Migrate an MCP server to SDK v2 in Python and TypeScript: rename FastMCP, run the codemod, add tests, serve over HTTP. 12 ...
Our NER pipeline, despite its simplicity in setup, did a pretty good job.
Qwen 3.8 still has a problem, but not in the way you're thinking.
Prepare your data and grader, and then choose a response format and training settings. Create a reinforcement fine-tuning (RFT) job with Managed Training in Microsoft Foundry. For method comparisons ...
Build a Cursor SDK agent in TypeScript with token budgets, a read-only toolset, cloud PR fixes and GitHub Actions. 12 steps, ...
How to use nvidia/Nemotron-3.5-Parse with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text ...