Agentic AI

How do you make an LLM agent truly study from its personal runs—successes and failures—with out retraining? Google Research proposes ReasoningBank, an AI agent reminiscence framework that converts an agent’s personal interplay traces—each successes and failures—into reusable, high-level reasoning methods. These methods are retrieved to information future choices, and the loop repeats so the agent…

In this tutorial, we stroll by the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. We design it in order that the agent does extra than simply retrieve paperwork; it actively decides when retrieval is required, selects the perfect retrieval technique, and synthesizes responses with contextual consciousness. By combining embeddings, FAISS indexing, and a mock…

In this tutorial, we stroll you thru the design and implementation of a complicated Supervisor Agent Framework utilizing CrewAI with Google Gemini mannequin. We arrange specialised brokers, together with researchers, analysts, writers, and reviewers, and deliver them beneath a supervisor agent who coordinates and displays their work. By combining structured activity configurations, hierarchical workflows, and…

Anthropic launched Claude Sonnet 4.5 and units a brand new benchmark for end-to-end software program engineering and real-world pc use. The replace additionally ships concrete product floor modifications (Claude Code checkpoints, a local VS Code extension, API reminiscence/context instruments) and an Agent SDK that exposes the identical scaffolding Anthropic makes use of internally. Pricing stays…

In this tutorial, we stroll by the method of constructing an superior AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret pure language instructions, simulate desktop duties similar to file operations, browser actions, and workflows, and present interactive suggestions by a digital setting. By combining NLP, job execution, and…