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A Coding Implementation with Arcad: Integrating Gemini Developer API Tools into LangGraph Agents for Autonomous AI Workflows

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…

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LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model for Social Simulation with a User Pool of 10 Million Real Individuals

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…

Read MoreLLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model for Social Simulation with a User Pool of 10 Million Real Individuals

Novel method detects microbial contamination in cell cultures | MIT News

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…

Read MoreNovel method detects microbial contamination in cell cultures | MIT News

Mila & Universite de Montreal Researchers Introduce the Forgetting Transformer (FoX) to Boost Long-Context Language Modeling without Sacrificing Efficiency

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,…

Read MoreMila & Universite de Montreal Researchers Introduce the Forgetting Transformer (FoX) to Boost Long-Context Language Modeling without Sacrificing Efficiency

A Comprehensive Tutorial on the Five Levels of Agentic AI Architectures: From Basic Prompt Responses to Fully Autonomous Code Generation and Execution

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…

Read MoreA Comprehensive Tutorial on the Five Levels of Agentic AI Architectures: From Basic Prompt Responses to Fully Autonomous Code Generation and Execution