If you are in the AI field, you may have recently heard the term AI Agent frequently. In this article, we will delve into what it means when we refer to Agents in the context of large language models (LLMs) and artificial intelligence (AI). Before we dive deeper, one thing to remember is that the … Read more
Click 👇🏻 to follow, article from 🙋♂️ Friends who want to join the community can see the method at the end of the article for group communication. “ LLMs have revolutionized the field of AI by enabling human-like text generation and natural language understanding. However, their reliance on static training data limits their ability to … Read more
Why Do We Need Agentic Reasoning? The reasoning capabilities of large language models (LLMs) have always faced a “thinking ceiling.” LLMs are like students who can only take closed-book exams, relying solely on the knowledge they memorized during pre-training for internal reasoning. When confronted with questions requiring real-time data verification, complex calculations, or cross-domain knowledge … Read more
Agentic Reasoning: Oxford’s New Framework for Enhanced Reasoning Published on: February 6, 2025 Agent Application Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research We propose a new framework called Agentic Reasoning, which enhances the reasoning capabilities of large language models (LLMs) by integrating external tool agents. Unlike traditional LLM reasoning methods that rely … Read more
1. The Dilemma of Traditional RAG2. Innovative Breakthroughs of Agentic RAG3. Advantages and Application Prospects of Agentic RAG In the context of rapid development in artificial intelligence, significant progress has been made in large language model (LLM) technology, but it also faces many challenges. Retrieval-Augmented Generation (RAG) technology has emerged to provide new avenues for … Read more
Author | Wang Yaping 1 Introduction With the further development of large models in multimodal understanding, logical reasoning, and other areas, the Agent is expected to see large-scale application in 2025, replacing humans in solving more and more daily tasks. AI experts generally believe that 2025 will be the year of the agent explosion. By … Read more
Reading articles about LLMs, you often see phrases like “we use the standard Transformer architecture.” But what does “standard” mean, and has it changed since the original paper? Interestingly, despite the rapid growth in the NLP field over the past five years, the Vanilla Transformer still adheres to the Lindy Effect, which suggests that the … Read more
This is the 255th article in the series for job-seeking product managers. 🔥What is an Agent?The term Agent originates from the Latin word Agere, meaning “to do”. In the context of LLMs, an Agent can be understood as an intelligent entity that can autonomously understand, plan, make decisions, and execute complex tasks‼️ 👸An Agent is … Read more
Trends in AIGC The future LLM foundation models will become increasingly powerful, and many small models (huggingface models) are also thriving. When integrated with current enterprise applications or privatized data, new AI applications will emerge. In autonomous agent systems driven by LLM technology, LLM plays the role of the intelligent brain and includes three components … Read more
Author: Mariya Mansurova Translation: Ouyang Jin Proofreading: Zhao Ruxuan This article is approximately 3500 words, recommended reading time is 10 minutes. This article discusses the impact and insights of LLMs on the future work of analysts through two specific use cases that used the OpenAI API to build LLMs to solve simple tasks. In the … Read more