GenAI

Strategies and parameters you can tune to improve the performance of Retrieval-Augmented Generation (RAG) applications for production.

In this blog piece, you’ll learn why and how we built LangGraph for production agents—focusing on control, durability, and the core features needed to scale.

Manus approaches to context engineering.

The blog explores how to apply practical context engineering techniques using Agno to build AI agents that are faster, more efficient, and better at collaboration. It covers core techniques that include crafting precise system messages, selectively managing context to reduce token use, applying few-shot learning to teach behavior, and coordinating multi-agent teams effectively.

A collection of Open Source agent and audio components that you can customize and extend.

Join Ryan Cicak, Solutions Engineer at Databricks, as he explores the art of fine-tuning models using serverless GPU compute. Discover how to pull models from Hugging Face, fine-tune them with ease, and serve them via API.

This cookbook provides a practical, end-to-end guide on how to effectively use evals as the core process in creating a production-grade a...

Applying the scientific method, building via eval-driven development, and monitoring AI output.

This cookbook provides a practical guide on how to use the OpenAI Platform to easily build resilience into your prompts. A resilient prom...

The world's leading open-source editor framework for creating content editing experiences like Notion or Google Docs insanely fast.

MDXEditor is an open-source React component that lets your users edit markdown documents naturally, just like in Google docs or Notion.

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Taking care of your context is the key to building successful agents. Just because there’s a 1 million token context window doesn’t mean you should fill it.

In this article, we will understand the architecture of the multi-agent research system that Anthropic built.

How to test agent ideas in hours using Claude Code SDK without building orchestration infrastructure - proven methodology from consulting engagements

Agentic Design Patterns A Hands-On Guide to Building Intelligent Systems, Antonio Gulli Table of Contents - total 424 pages = 1+2+1+1+4+9+103+61+34+114+74+5+4 11 Dedication, 1 page Acknowledgment, 2 pages [final, last read done] Foreword, 1 page [final, last read done] A Thought Leader's ...

Build invincible apps with Temporal's open source durable execution platform. Eliminate complexity and ship features faster. Talk to an expert today!

Deploy More Resilient Apps. Hatchet is a platform for building distributed web apps that solves scaling problems like concurrency, fairness, and rate limiting. Instead of managing your own task queue or pub/sub system, you can use Hatchet to distribute your functions between a set of workers with minimal configuration or infrastructure.

Inngest's durable functions replace queues, state management, and scheduling to enable any developer to write reliable, multi-step code faster without touching infrastructure.

Applications of reinforcement learning (RL) in AI model building has been a growing topic over the past few months. From Deepseek models incorporating RL mechanics into their training processes to...