How to use BAML—A language for agents to write in. One line to install, 4 basic commands, and steps to call from Python

Have you ever thought this while having an AI agent write code?"It works, but I don't know why it's working."There are casts ...

Unsloth Desktop App Release and GLiNER2 Information Extraction Framework — GitHub Trending Today's Notable OSS

This article has been edited and created by AI.Today's highlights on GitHub Trending in the Python and RSS categories focus ...
OSTechNix

Best Free Weather APIs Linux

Need weather data on Linux? Here’s a comparison of 8 practical free and trial weather APIs for scripts, dashboards, and data ...
ecosistemastartup

PyO3: cómo meter Rust dentro de Python (caso Pydantic)

Qué hay realmente debajo de Pydantic v2 Cada vez que validas un payload con Pydantic v2, la librería de validación más usada ...
InfoWorld

The five important tools for controlling AI costs

Large language models are miraculous tools until the cost hits you like a city bus. Fortunately, we have a few good levers to ...
InfoQ

HashiCorp Packer 1.16 Adds Native SLSA Provenance Generation and Verification for Machine Images

HashiCorp has released Packer v1.16.0, adding native support for generating, signing, and verifying SLSA provenance attestations for every image the tool builds. The release provides teams with a ...
VentureBeat

Cohere Parse 5 loses the benchmark on points. It wins on cost per page.

Enterprises trying to feed PDFs, slides and scanned documents into AI pipelines keep running into the same wall: the tools either miss the structure — tables, charts, layout — or cost too much to run ...
marktechpost

Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown

Parse is a 2.3B-parameter vision language model built on Cohere Labs’ North-Micro-Vision-Instruct architecture, with an 8,192-token context window and a ~4.6GB footprint. It accepts PDF, PPT and JPEG ...