AI Agents
LangGraph Design Patterns: Building Smarter AI Agents
Master the architecture behind intelligent AI agents with LangGraph's graph-based approach to state management, conditional routing, and multi-agent orchestration.
AI Agents
Master the architecture behind intelligent AI agents with LangGraph's graph-based approach to state management, conditional routing, and multi-agent orchestration.
LLM Agents
New research presents SimpleMem, an efficient memory architecture enabling LLM agents to maintain persistent context across extended interactions without traditional retrieval overhead.
JEPA
Meta's Chief AI Scientist argues current generative models are fundamentally flawed. His Joint Embedding Predictive Architecture offers an alternative that could reshape how AI understands video and reality.
AI Safety
New research proposes integrating actions, compositional structure, and episodic memory from neuroscience to build safer, more interpretable AI systems that could transform how we approach AI trustworthiness.
multi-modal AI
New research introduces MMGR, a framework that enables AI models to perform generative reasoning across multiple modalities including text, images, and video.
AI Architecture
From Transformers to GANs, these five foundational architectures form the backbone of AI video generation, deepfake creation, and synthetic media systems that every engineer should understand.
Agentic AI
New research surveys the core architectural patterns enabling autonomous AI agents, from single-agent designs to multi-agent orchestration frameworks that power complex AI workflows.
LLM Agents
New research introduces a co-adaptive dual-strategy framework combining fast intuitive reasoning with slow deliberative thinking to improve LLM-based agent performance.
transformers
Deep technical comparison of transformer and mixture of experts architectures, exploring how MoE models achieve computational efficiency while maintaining performance in modern AI systems including video generation.
AI Safety
Comprehensive technical guide to implementing AI safety guardrails, from prompt-based filtering to advanced validation architectures. Covers practical methods for ensuring secure and relevant AI interactions with code examples.
Agentic AI
A comprehensive technical framework for designing agentic AI systems, exploring core architectural components including planning engines, memory systems, tool integration, and reasoning capabilities that enable autonomous decision-making.
AI Agents
Technical deep dive into AI agent architectures: ReAct, Chain-of-Thought, Tool-Augmented, Multi-Agent, and Memory-Enhanced patterns. Includes implementation details and real-world examples for building autonomous AI systems.