In this tutorial, we build a Groq-powered agentic research workflow that runs directly using Groq’s free OpenAI-compatible inference endpoint. We configure LangChain’s ChatOpenAI interface to work ...

20+ years in tech. Currently deep in LLMs and agentic systems. Writing about what I'm actually building. Sydney-based. Opinions mine. 20+ years in tech. Currently deep in LLMs and agentic systems.

Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...

"For production agentic applications we will need to decouple the agent creation process from the agent invocation one. With AgentCore Runtime, we will decorate the invocation part of our agent with ...

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. 2️⃣ Building Path: Modular Project Flexible architecture where ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: Preparing course syllabus is a time-intensive process that requires careful alignment with educational goals, learner backgrounds, and current technological trends. This paper presents a ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...