Agentic AI

In this tutorial, we dive into building an advanced AI agent system based on the SAGE framework, Self-Adaptive Goal-oriented Execution, using Google’s Gemini API. We walk through each core component of the framework: Self-Assessment, Adaptive Planning, Goal-oriented Execution, and Experience Integration. By combining these, we aim to create an intelligent, self-improving agent that can deconstruct…

OpenAI has just sent seismic waves through the AI world: for the first time since GPT-2 hit the scene in 2019, the company is releasing not one, but TWO open-weight language models. Meet gpt-oss-120b and gpt-oss-20b—models that anyone can download, inspect, fine-tune, and run on their own hardware. This launch doesn’t just shift the AI…

In this tutorial, we explore how to integrate Microsoft AutoGen with Google’s free Gemini API using LiteLLM, enabling us to build a powerful, multi-agent conversational AI framework that runs seamlessly on Google Colab. We walk through the process of setting up the environment, configuring Gemini for compatibility with AutoGen, and building specialized teams of agents…

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline design and optimization. By leveraging web-scale search, targeted code refinement, and robust checking modules, MLE-STAR achieves unparalleled performance on a range of machine learning engineering tasks—significantly outperforming previous autonomous…

In this tutorial, we explore a powerful multi-agent system built around the PEER pattern: Plan, Execute, Express, and Review. We run the entire workflow in Google Colab/Notebook, integrating agents with specialized roles and leveraging Google’s Gemini 1.5 Flash model via a free API key. As we walk through the system, we observe how each agent…

In this tutorial, we delve into building an advanced AI agent with agent memory using Cognee and Hugging Face models, utilizing entirely free, open-source tools that work seamlessly in Google Colab and other notebook. We configure Cognee for memory storage and retrieval, integrate a lightweight conversational model for generating responses, and bring it all together…

AgentSociety is a cutting-edge, open-source framework designed to simulate large populations of agents, each powered by Large Language Models (LLMs), to realistically model the complex interactions found in human societies. Leveraging powerful distributed processing technologies—especially Ray—this project achieves simulations involving tens of thousands of simultaneously active agents, each embedded in detailed, realistic environments that capture…