According to God of Prompt on X, Anthropic released free, certificate-backed courses on building with Claude covering prompt engineering, tool use, retrieval augmented generation, and evaluations ...

Bottom line: You can build a working RAG chatbot on Azure UK South in a single day using Azure AI Foundry's guided setup. The three services you need are Azure AI Search (retrieval), Azure OpenAI ...

In this tutorial, we focus on building a transparent and measurable evaluation pipeline for large language model applications using TruLens. Rather than treating LLMs as black boxes, we instrument ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.9+ application. The library includes type definitions for all request params and response fields, and ...

In the race to bring artificial intelligence into the enterprise, a small but well-funded startup is making a bold claim: The problem holding back AI adoption in complex industries has never been the ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

Abstract: Urdu Question Answering (QA) systems struggle with limited annotated resources and linguistic complexities. These are significant hurdles for traditional Large Language Models (LLMs) that ...

The New York Times filed suit Friday against AI search startup Perplexity for copyright infringement, its second lawsuit against an AI company. The Times joins several media outlets suing Perplexity, ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.