Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping and search, as well as specialized APIs for finance, maps, and more. In this tutorial, we…

Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element. Traditional methodologies like surveys, interviews, and observations face significant challenges, including high costs, limited sample sizes, and ethical concerns. These…

Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with MIT, A*STAR Skin Research Labs, and the National University of Singapore, have…

Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability to process input tokens simultaneously, while utilizing self-attention mechanisms, enables them to achieve impressive performance in natural language tasks. However,…

In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous code-generating system. This tutorial is designed to run seamlessly on Google Colab. Starting with a basic “simple processor” that simply…