Postman’s Model Context Protocol Support Supercharges AI Agent Development AI developers now have a powerful new tool in their arsenal: Postman’s full integration of the Model Context Protocol (MCP). This advancement makes it easier than ever to design, debug, and deploy sop... AI agents AI development API integration LLM MCP Postman Product update Tool Builder
Unlocking the Power of Deep Agents: The Future of Autonomous AI AI technology is evolving rapidly, and the emergence of deep agents marks a transformative moment. Unlike their shallow predecessors, deep agents are designed to plan, manage, and execute complex task... AI agents autonomous AI deep agents file system LLM planning tools prompt engineering sub agents
How Align Evals Is Updating LLM Evaluator Alignment Ensuring large language model (LLM) applications truly meet user needs is challenging. Automated evaluation tools often miss the mark, producing scores that don't always align with real human judgment... AI evaluation alignment developer tools evaluation LangChain LLM product update prompt engineering
Wayfinding AI: Transforming Health Conversations Through Context-Seeking Online health information seeking has become ubiquitous, with 58.5% of US adults using the internet for health and medical questions . However, this widespread access comes with significant chall... AI Context-Seeking Conversational AI Google Research Health LLM Medical AI User Experience
DeepAnalyze-8B: The First Agentic LLM for Autonomous Data Science In October 2025, the Database & Intelligent Information Retrieval Laboratory (DBIIR) at Renmin University of China released DeepAnalyze-8B , marking a significant milestone in the evolution of artific... Agentic AI AI Autonomous AI Data Science LLM Machine Learning Open Source Python
Building the Future of AI Agents: Inside Google's Agent Development Kit When Google released the Agent Development Kit in early 2025, they weren't just offering another framework for building AI applications. They were making a bold statement about the future of agentic A... Agent Development Agent Orchestration AI Agents Gemini Google ADK LLM Machine Learning MCP Multi-Agent Systems OpenTelemetry Production AI Python Software Engineering Vertex AI
How Deeply Do LLMs Internalize Scientific Literature And Citations? A new study asks a deceptively simple question: when you ask a large language model to suggest references for a paper, does it think like a scientist? The Harvard and CLPS authors probe this by prompt... Citations LLM Matthew Effect Science of Science
SLED: Self Logits Evolution Decoding Boosts Factuality Without Retraining Large language models deliver impressive results across many tasks, yet they still produce incorrect or ungrounded statements, often called hallucinations. A growing body of work explores how to reduc... Decoding Factuality Inference-Time LLM SLED
LangChain: Building the Future of Context-Aware AI Applications In October 2022, a team of engineers released LangChain , a Python framework designed to solve a fundamental challenge in the emerging world of Large Language Models. The question they tackled: how do... Agent Framework AI Agents Framework LangChain LangGraph LangSmith LLM Machine Learning Open Source Python RAG
How AI Agents Are Revolutionizing Contextual Content Placement in Advertising Digital advertising is evolving rapidly, and the days of simple keyword-based ad placement are over. Advertisers now seek more sophisticated methods to ensure their messages reach the right audience a... adtech AI agents content placement contextual advertising Databricks LLM MLflow vector search
Transform Your Local Workflow: Run AI Models with Docker Model Runner and Open WebUI Running sophisticated AI models used to require cloud accounts, technical know-how, and powerful servers. Today, thanks to the synergy between Docker Model Runner and Open WebUI , local large language... AI chat developer tools Docker Docker Model Runner LLM local AI Open WebUI privacy
Streamline Your Team’s LLM Prompt Engineering with Google Cloud’s LLM-Evalkit If you've ever managed large language model (LLM) prompts across different tools and documents, you know how chaotic and inefficient the process can be. Iterating on prompts without a unified system o... AI workflow LLM machine learning no-code open source prompt engineering Vertex AI