Evaluating AI agents now demands more than assessing individual function calls; the critical question is whether an agent can reliably complete multi-step tasks in a live environment, even when errors ...

One thing this timeline reinforced for me is that we still don’t have good visibility into an agent’s execution surface. We spend a lot of time discussing prompts, planning and model behaviour, but ...

Everything you need to understand and customize Hermes Agent. Self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 agents that work for you 24/7. Hermes Agent crossed ...

A Comprehensive Google Gemini Notebook Skill & Unofficial Python API. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents ...

In this guide, you'll learn how to build a complete machine learning pipeline using Snowflake ML Jobs and Task Graphs. This end-to-end solution demonstrates how to orchestrate the entire ML lifecycle ...

В этой статье мы подробно рассмотрим процесс установки и настройки всех необходимых инструментов для эффективной разработки Python-приложений с использованием FastAPI, Docker и Docker Compose. Вы ...

Explore the capabilities and benefits of AI code generation and how it can improve your developer experience. Find out what goes into making GitHub the home for all developers. How we use GitHub to be ...

You can find an extensive hands-on tutorial, courtesy of the ALCF PythonFOAM workshop, here: https://www.youtube.com/watch?v=-Sa2OEssru8 PODFoam/: A pimpleFoam solver ...

If you are looking into building a simple web application with Python, the Flask microframework is probably one of the best choices. With Flask you can build a real web application with just a single ...