Unlocking Data with Generative AI and RAG — Free eBook worth $35.990 0

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

How to use AI response patterns to build better content

LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization ...

How Researchers Reverse-Engineered LLMs For A Ranking Experiment

Researchers test two ways to reverse engineer the LLM rankings of Claude 4, GPT-4o, Gemini 2.5, and Grok-3. Researchers ...
InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...
Automation World

Moving AI From Chatbots to Action in Manufacturing

Learn how RAG grounds AI in plant knowledge while MCP enables safe execution to transform industrial AI recommendations into controlled, compliant actions.
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Backboard.io Unlocks AI Memory for OpenRouter Users

Bring Your Own Key (BYOK) functionality for OpenRouter allows users to seamlessly incorporate stateful capabilities ...