// TAG: AI

This chapter introduces JSON and TOON, explaining their role in AI, why they are critical for Large Language Models, and guides you through setting up …

Discover what Redis LangCache is, its benefits for AI applications, and how to set up your environment for semantic caching.

Discover what Agentic Lightening is, why it's a game-changer for AI agent development, its key benefits, and a brief history. Learn how this Microsoft …

Explore the fundamental building blocks of semantic caching with Redis LangCache, including embeddings, vector similarity, and the lifecycle of cache …

Dive into the fundamental building blocks of Agentic Lightening. Understand the roles of `LitAgent`, `Trainer`, and the `AgentLightningServer`, and …

A practical guide to performing fundamental operations with Redis LangCache, including storing and searching for LLM responses using Node.js and …

Learn how to seamlessly integrate your existing AI agents, built with frameworks like LangChain, OpenAI Agent SDK, AutoGen, and CrewAI, into Agentic …

Delve into advanced features of Redis LangCache, including fine-tuning similarity thresholds, managing TTL, using search strategies, and best …

Delve into the critical concepts of 'rollouts' and 'rewards' in Agentic Lightening. Learn how agents execute tasks, how their interactions are …

A step-by-step project to build a simple AI chatbot that leverages Redis LangCache to significantly reduce LLM costs and improve response times for …

Explore the advanced optimization algorithms supported by Agentic Lightening, including Reinforcement Learning (RL), Automatic Prompt Optimization …

Build a Retrieval-Augmented Generation (RAG) system and optimize its performance and cost by integrating Redis LangCache for caching retrieval results …

A curated list of additional resources to deepen your knowledge of Redis LangCache, semantic caching, and broader AI development topics.

Build a basic Question-Answering (QA) agent and leverage Agentic Lightening's capabilities for Automatic Prompt Optimization (APO) to enhance its …

Take your LangChain agent to the next level by integrating it with Agentic Lightening for Reinforcement Learning (RL) based optimization. This project …

A curated collection of resources to continue your journey with Agentic Lightening and the broader field of AI agents. Includes recommended courses, …

A curated list of recommended resources to deepen your understanding of JSON and TOON, including official documentation, online courses, influential …

Dive into the expanded capabilities of Redis 8.x, including Vector Sets, JSON, Time Series, and Probabilistic data structures for specialized use …

A comprehensive guide to JSON and TOON, two essential data formats for AI and Large Language Models. Learn their fundamentals, advanced usage, …

A comprehensive guide to learning Redis LangCache, a powerful semantic caching service for AI applications. Reduce LLM costs and improve response …

A comprehensive guide to Microsoft's Agentic Lightening framework, designed for absolute beginners and experienced developers to train and optimize AI …

Delve into advanced Transformers.js topics including performance optimization with WebGPU, understanding model quantization, and integrating custom or …

Learn to integrate automatic speech recognition (ASR) and text-to-speech (TTS) capabilities into your web applications using Transformers.js for …

A curated list of recommended resources, official documentation, communities, and next steps to continue your learning journey with Transformers.js …

Explore the core concepts of Transformers.js: the `pipeline` API for common tasks and how to load and utilize various pre-trained models from the …

A comprehensive guide to learning TensorFlow 2.20.0, from fundamental concepts to advanced applications, with practical examples and guided projects …

A comprehensive, beginner-friendly guide to Transformers.js, enabling state-of-the-art machine learning directly in web browsers. Learn from …

Discover how to perform Computer Vision tasks like image classification, object detection, and image feature extraction directly in the browser using …

Explore Natural Language Processing (NLP) tasks with Transformers.js, including sentiment analysis, text generation, summarization, and named entity …

A comprehensive, beginner-friendly guide to the Microsoft Agent Framework, covering core concepts, advanced topics, and practical projects for …

A comprehensive, beginner-friendly guide to building intelligent AI agents in Java using Spring Boot, covering foundational concepts, practical …

Explore cutting-edge Nx Workspace concepts, including AI integration, advanced Module Federation, complex refactoring, monorepo security, and …

A comprehensive, beginner-friendly textbook-style document on Model Context Protocol (MCP), focusing on creating MCP servers for AI agents and …

An in-depth exploration of advanced concepts, robust architectures, and real-world complex applications of agentic AI for experienced professionals, …

A comprehensive guide to advanced Python programming, covering clean code principles, performance optimization, concurrency with asyncio, and best …

A comprehensive guide to building intelligent AI agents using LangChain and LangGraph, covering foundational concepts, tool integration, memory …

A comprehensive, beginner-friendly guide to understanding, building, and applying agentic AI for UI and backend systems using popular libraries like …

A comprehensive guide to understanding Large Language Model (LLM) architectures, from fundamental types and parameter counts to the specific …

A comprehensive guide to Large Language Model (LLM) quantization, covering its principles, various techniques (4-bit, 8-bit, GGUF), practical …

A comprehensive guide to deploying and serving Large Language Models (LLMs) locally, focusing on Ollama for running pre-packaged models, and …

A comprehensive guide to leveraging NumPy, Pandas, Matplotlib, and Seaborn for data science, from foundational concepts to advanced techniques, with a …

A comprehensive guide to Deep Learning with PyTorch, covering foundational tensor operations, neural network construction, custom training, and …

A comprehensive guide to Large Language Model (LLM) pre-training and fine-tuning concepts, covering Supervised Fine-tuning (SFT), Parameter-Efficient …

A comprehensive guide to traditional Machine Learning concepts and practical application with Scikit-learn, from basic regression and classification …

A comprehensive and practical guide to MLOps and LLMOps principles and practices for managing the lifecycle of Large Language Models and Agentic AI …

A comprehensive guide to Natural Language Processing fundamentals, including text preprocessing, word embeddings, and an in-depth exploration of …

A comprehensive and practical guide to Retrieval-Augmented Generation (RAG), covering its core components, document loading, chunking, embedding, …