The Practical Guide to Large Language Models
... Smolagents framework . Smolagents is a lightweight and minimalist framework focused on the ReAct paradigm . It allows you to run agent scenarios , use tools , configure stopping conditions , and work with both local and remote models ...
Hugging Face in Action
... smolagents. Let's dive into building intelligent AI agents using smolagents—a lightweight, flexible framework designed to make agent development simple and approachable. Whether you're building agents that search the web, query databases ...
Computational Intelligence
... smolagents: Agents that think in code. https://github.com/huggingface/smolagents 29. Sutton, R.S., Precup, D., Singh, S.: Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning. Artif. Intell. 112 ...
Building Agents with Hugging Face Transformers
Built for Advanced Practitioners: This book is designed for those ready to move beyond basic LLM prompting and build sophisticated, production-grade agents.
Multi-Agent Workflows with SLMs
But the real breakthrough comes when SLMs are orchestrated together into multi-agent workflows. This book provides a comprehensive guide to building, scaling, and governing multi-agent systems with SLMs.
Vision Language Models
From image captioning and document understanding to advanced zero-shot inference and retrieval-augmented generation (RAG), this book covers the full VLM application and development lifecycle.