Unlock Better RAG & AI Agents with Docling – open-source
The video discusses a major challenge in retrieval-augmented generation (RAG) pipelines and AI agents: effective data preparation. For AI models to provide accurate and useful responses, they must fully understand the data they are given, which often comes in various formats such as PDFs, tables, images, audio, and more. Most organizations deal with a wide […]
Unlock Better RAG & AI Agents with Docling – open-source
The video discusses a major challenge in retrieval-augmented generation (RAG) pipelines and AI agents: effective data preparation. For AI models to provide accurate and useful responses, they must fully understand the data they are given, which often comes in various formats such as PDFs, tables, images, audio, and more. Most organizations deal with a wide […]
AI Periodic Table Explained: Mapping LLMs, RAG & AI Agent Frameworks – agents
The video introduces the concept of an “AI periodic table” as a way to organize and make sense of the many terms and technologies in the field of artificial intelligence. Drawing inspiration from the structure of the chemical periodic table, the presenter proposes a framework that categorizes AI components into families (groups) and levels of […]
AI Periodic Table Explained: Mapping LLMs, RAG & AI Agent Frameworks
AI Periodic Table Explained: Mapping LLMs, RAG & AI Agent Frameworks Source link
Anatomy of AI Agents: Inside LLMs, RAG Systems, & Generative AI – agents
The video explores the fundamental anatomy of AI agents, breaking down their core components into sensing, thinking, and acting stages. AI agents gather information from the real world through various inputs such as text, sensors like cameras and microphones, or APIs. This sensory perception is akin to human senses, allowing the agent to receive data […]
Anatomy of AI Agents: Inside LLMs, RAG Systems, & Generative AI
Anatomy of AI Agents: Inside LLMs, RAG Systems, & Generative AI Source link
RAG vs Agentic AI: How LLMs Connect Data for Smarter AI – open-source
The video discusses two prominent AI buzzwords: agentic AI and retrieval augmented generation (RAG), addressing common misconceptions about their use cases and effectiveness. Agentic AI refers to multi-agent workflows where AI agents perceive their environment, make decisions, and execute actions with minimal human intervention. These agents operate in a loop of perceiving, reasoning, acting, and […]
RAG vs Agentic AI: How LLMs Connect Data for Smarter AI
RAG vs Agentic AI: How LLMs Connect Data for Smarter AI Source link