Unlock the secrets of AI agents that plan reason and act. See how LLMs tools memory and RAG combine with ReAct orchestration function calling and vector databases. Build an agent from scratch with LangChain AutoGen and more.
Can LLMs learn to fix their own mistakes? Discover self refinement that boosts reasoning with MCTS multi agent collaboration and DPO. Get principles challenges code examples and practical tips that turn shaky answers into reliable results.
Can large language models ever stop hallucinating? Learn how computational limits and Gödel prove hallucinations are inevitable, and see mitigation with retrieval augmented generation, self consistency, chain of thought, and uncertainty checks.
Discover how artificial intelligence multi agent simulations create emergent human like behavior through memory, planning, and self reflection. Watch AI agents collaborate, clash, and adapt in real time paving the way for lifelike virtual worlds and next gen AI applications.
Unlock prompt tuning for LLMs with automation that beats guesswork. Meet PRewrite with reinforcement learning, EvoPrompt using evolutionary algorithms, and Bayesian optimization for black box models that boost accuracy across tasks, gradient free and closed source ready.
AI agents are the next leap in automation. Discover how reactive proactive and hybrid agents use machine learning and NLP to boost productivity transform customer service healthcare and finance and tackle labor gaps. Start building with our beginner friendly guide.
Unlock smarter RAG with LLMs and knowledge graphs. Learn how vector search, Cypher on graph databases, and LangChain with Neo4j turn messy text and structured data into accurate answers. See the steps, patterns, and performance tricks that power context aware apps.
AI giants are clashing as DeepSeek R1 challenges OpenAI o1 in a global showdown. Discover which model dominates math, coding, and knowledge benchmarks, and why this open-source disruptor might redefine the future of artificial intelligence.
Manual data labeling is over. Discover how AI automation with YOLO and SAM, weak labeling, synthetic data, and active learning slashes costs, boosts accuracy, and speeds model deployment for businesses and developers.
Computer vision and machine learning in 2025 collide with multimodal LLMs, image generation, synthetic data, and edge AI. Discover real time video analytics, YOLOv11 and DeepLab, new chips, and privacy rules shaping jobs, products, and profits.