Imagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue but does not have an enlarged heart. Looking to speed up diagnosis, she might use a vision-language machine-learning model to…
Reasoning language models, or RLMs, are increasingly used to simulate step-by-step problem-solving by generating long, structured reasoning chains. These models break down complex questions into simpler parts and build logical steps to reach answers. This chain-of-thought (CoT) approach has proven…
In the pretraining of LLMs, the quality of training data is crucial in determining model performance. A common strategy involves filtering out toxic content from the training corpus to minimize harmful outputs. While this approach aligns with the principle that…
In its latest executive guide, “Agentic AI – The New Frontier in GenAI,” PwC presents a strategic approach for what it defines as the next pivotal evolution in enterprise automation: Agentic Artificial Intelligence. These systems, capable of autonomous decision-making and…
Starting in July, MIT’s Shaping the Future of Work Initiative in the Department of Economics will usher in a significant new era of research, policy, and education of the next generation of scholars, made possible by a gift from the…
Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains. Existing research depends on synthesizing large volumes of tool-use trajectories through advanced language models and SFT to enhance LLMs’ tool-calling capability. The critical limitation…
In this tutorial, we will learn how to deploy a fully functional Model Context Protocol (MCP) server using smithery as the configuration framework and VeryaX as the runtime orchestrator. We’ll walk through installing and configuring…
MCP-Use is an open-source library that lets you connect any LLM to any MCP server, giving your agents tool access like web browsing, file operations, and more — all without relying on closed-source clients. In this tutorial, we’ll use langchain-groq…
LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have moved away from traditional PPO approaches by eliminating the learned value function network in favor…
OpenAI has released HealthBench, an open-source evaluation framework designed to measure the performance and safety of large language models (LLMs) in realistic healthcare scenarios. Developed in collaboration with 262 physicians across 60 countries and 26 medical specialties, HealthBench addresses the…
