Hello everyone! Welcome to a channel focused on AI agents~ Today, I’m sharing a 35-page latest overview of Agentic RAG! There are a lot of pictures, which I believe many of you will enjoy. 1. Why Do We Need Agentic RAG? Although traditional LLMs are powerful, they are limited by static training data and often … Read more
This article mainly introduces the seven most common RAG architectures and the latest Agentic RAG. Most Popular RAG Architectures Naive RAG: The most basic architecture, which includes a simple document retrieval, processing, and response generation process. Retrieve-and-rerank: Adds a reranking step on top of the basic RAG, which can optimize the relevance of retrieval results. … Read more
In 2023, Retrieval-Augmented Generation (RAG) technology dominated the landscape, and in 2024, agentic workflows are driving significant advancements. The use of AI agents opens up new possibilities for building more powerful, robust, and versatile applications powered by large language models (LLMs). One potential use case is to enhance AI agents within the agentic RAG process. … Read more
Despite Retrieval-Augmented Generation (RAG) dominating in 2023, agentic workflows bring significant advancements in 2024. The application of AI agents opens up new possibilities for developing more powerful, robust, and versatile applications driven by large language models (LLMs). One possibility is to leverage AI agents in agentic RAG pipelines to enhance RAG processes. This article will … Read more
What Is Agentic AI Agentic AI is an artificial intelligence system that can make autonomous decisions and take actions to achieve specific goals. These systems can not only generate content but also interact with their surroundings, respond to changes, and complete tasks with minimal human guidance.The definition of Agentic AI emphasizes its autonomy and goal-oriented … Read more
Here is a detailed 5000-word summary of the article “Agentic AI vs Generative AI: Everything You Need to Know”. Introduction The article begins with a quote from Alphabet CEO Sundar Pichai, emphasizing the importance of Artificial Intelligence (AI) and presenting a significant discussion in the current AI field: Agentic AI vs Generative AI. These two … Read more
What is agentic AI? Agentic AI generally refers to AI systems that possess the capacity to make autonomous decisions and take actions to achieve specific goals with limited or no direct human intervention. Key aspects of agentic AI Autonomy: Agentic AI systems can operate independently, making decisions based on their programming, learning, and environmental inputs. … Read more
Author:Lekha Priya Editor & Layout: Alex Recent overseas headlines say it all – the autonomous Agentic is coming in 2025! Bloomberg, October 21, 2024 reported Link: Breaking! Microsoft releases 10 AI agents powered by o1 reasoning capabilities Microsoft launches AI agents, deepening competition with Salesforce; the software manufacturer based in Redmond, Washington, announced on Monday … Read more
Abstract We propose DeepSeek-V2, a powerful Mixture of Experts (MoE) language model characterized by economical training and efficient inference. It has a total of 236 billion parameters, with 21 billion parameters activated per token, and supports 128K tokens of context length. DeepSeek-V2 adopts innovative architectures such as Multi-head Latent Attention (MLA) and DeepSeekMoE. MLA ensures … Read more
Following the release of large models for language, code, mathematics, etc., DeepSeek has brought another early achievement on the journey towards AGI… DeepSeekVL, jointly expanding training data, model architecture, and training strategies, attempts to build the strongest open-source 7B and 1.3B multimodal models. Highlights Data: Multi-source multimodal data enhances the model’s general cross-modal capabilities, mixing … Read more