Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of large language models (LLMs). The idea is simple: if a model explains its answer ...

Fine-tuning LLMs often requires extensive resources, time, and memory, challenges that can hinder rapid experimentation and deployment. Unsloth AI revolutionizes this process by enabling fast, ...

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...

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 ...

Conversational artificial intelligence is centered on enabling large language models (LLMs) to engage in dynamic interactions where user needs are revealed progressively. These systems are widely ...

LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and training approaches like RL. RL enhances LLMs by using reward signals to guide the model ...

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 ...

Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert ...

Hugging Face has released a free/open-source course on the Model Context Protocol (MCP), an open approach developed by Anthropic to facilitate the integration of large language models (LLMs) with ...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Arcana is trained on a diverse range of conversational data collected in natural settings. This allows it to generalize across speaking styles, accents, and languages, and to perform reliably in ...