Build a Groundedness Verification Tool Using Upstage API and LangChain

Upstage’s Groundedness Check service provides a powerful API for verifying that AI-generated responses are firmly anchored in reliable source material. By submitting context–answer pairs to the Upstage endpoint, we can…

CMU Researchers Introduce Go-Browse: A Graph-Based Framework for Scalable Web Agent Training

Why Web Agents Struggle with Dynamic Web Interfaces Digital agents designed for web environments aim to automate tasks such as navigating pages, clicking buttons, or submitting forms. These agents operate…

A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio). It then…

Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning

Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency and reusability: Reinforcement-Learned Teachers (RLTs). Traditional reinforcement learning (RL) approaches in LLMs are plagued…

New AI Framework Evaluates Where AI Should Automate vs. Augment Jobs, Says Stanford Study

Redefining Job Execution with AI Agents AI agents are reshaping how jobs are performed by offering tools that execute complex, goal-directed tasks. Unlike static algorithms, these agents combine multi-step planning…

VERINA: Evaluating LLMs on End-to-End Verifiable Code Generation with Formal Proofs

LLM-Based Code Generation Faces a Verification Gap LLMs have shown strong performance in programming and are widely adopted in tools like Cursor and GitHub Copilot to boost developer productivity. However,…

Teaching Mistral Agents to Say No: Content Moderation from Prompt to Response

In this tutorial, we’ll implement content moderation guardrails for Mistral agents to ensure safe and policy-compliant interactions. By using Mistral’s moderation APIs, we’ll validate both the user input and the…

Do AI Models Act Like Insider Threats? Anthropic’s Simulations Say Yes

Anthropic’s latest research investigates a critical security frontier in artificial intelligence: the emergence of insider threat-like behaviors from large language model (LLM) agents. The study, “Agentic Misalignment: How LLMs Could…

Solving LLM Hallucinations in Conversational, Customer-Facing Use Cases

Or: Why “Can we turn off generation” might be the smartest question in generative AI Not long ago, I found myself in a meeting with technical leaders from a large…

Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability

In this tutorial, we walk you through the design and implementation of a custom agent framework built on PyTorch and key Python tooling, ranging from web intelligence and data science…