AI Agents

In this tutorial, we discover how an agent can internalize planning, reminiscence, and instrument use inside a single neural mannequin moderately than counting on exterior orchestration. We design a compact, model-native agent that learns to carry out arithmetic reasoning duties by reinforcement studying. By combining a stage-aware actor-critic community with a curriculum of more and…

How can AI groups run Tinker type reinforcement studying on massive language fashions utilizing their very own infrastructure with a single unified engine? Anyscale and NovaSky (UC Berkeley) Team releases SkyRL tx v0.1.0 that provides builders a technique to run a Tinker suitable coaching and inference engine instantly on their very own {hardware}, whereas maintaining…

In this tutorial, we discover how to construct an clever agent that remembers, learns, and adapts to us over time. We implement a Persistent Memory & Personalisation system utilizing easy, rule-based logic to simulate how fashionable Agentic AI frameworks retailer and recall contextual data. As we progress, we see how the agent’s responses evolve with…

In this tutorial, we construct an Agentic Data and Infrastructure Strategy system utilizing the light-weight Qwen2.5-0.5B-Instruct mannequin for environment friendly execution. We start by creating a versatile LLM agent framework and then develop specialised brokers that deal with totally different layers of knowledge administration, from ingestion and high quality evaluation to infrastructure optimization. We combine…

In this tutorial, we discover how we are able to construct an autonomous agent that aligns its actions with moral and organizational values. We use open-source Hugging Face fashions operating domestically in Colab to simulate a decision-making course of that balances aim achievement with ethical reasoning. Through this implementation, we show how we are able…