To pave the way for future workflows and local models, it is necessary to discuss the installation of the Ollama local large language model backend. 1. Ollama Before installation, it is necessary to clarify what Ollama is.. Ollama is a backend service for large language models that helps users easily deploy large language models without … Read more
Datawhale Insights Author: Song Zhixue, Datawhale Member Hello everyone, I am not a fan of garlic and ginger. Next, I will guide you step by step to implement a simple RAG model, which is a simplified version of RAG, called Tiny-RAG. Tiny-RAG is a simplified version of RAG that only includes the core functions of … Read more
Original: https://zhuanlan.zhihu.com/p/682253496 Organizer: Qingke AI 1. Background Introduction The RAG (Retrieval Augmented Generation) method refers to a combination of retrieval-based models and generative models to improve the quality and relevance of generated text. This method was proposed by Meta in the 2020 paper “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks”[1], allowing language models (LM) to acquire … Read more
We know that one of the ultimate goals of AI development is to achieve AGI (Artificial General Intelligence), which is general artificial intelligence, meaning that machines can autonomously perform all human tasks. Currently, the applications of large language models have achieved some astonishing results. However, these models still have certain limitations, such as the phenomenon … Read more
Source: DeepHub IMBA This article is approximately 3000 words long and is recommended to be read in 6 minutes. This article introduces you to building multi-agent RAG using Llama index. Retrieval-Augmented Generation (RAG) has become a powerful technique for enhancing the capabilities of Large Language Models (LLMs). By retrieving relevant information from knowledge sources and … Read more
Introduction to LlamaIndex and LangChain, and a comparative analysis of the two. Long press to follow “AI Technology Talks” This article introduces the core mechanisms of LlamaIndex and compares its main differences with the LangChain framework. It will demonstrate how to integrate these frameworks into end-to-end projects to fully leverage the potential of large language … Read more
AI Model Tool Payment channels available in over 200 countries and regions, please choose! Cohere is a large language model platform focused on building top-notch AI products, primarily aimed at enterprise users and developers, especially those in need of efficient, flexible, and secure language AI solutions for B-end clients. Below is a detailed introduction to … Read more
Machine Heart Column Machine Heart Editorial Team Fusion of multiple heterogeneous large language models, Sun Yat-sen University and Tencent AI Lab introduce FuseLLM With the success of large language models like LLaMA and Mistral, many major companies and startups have created their own large language models. However, the cost of training new large language models … Read more
In the field of Artificial Intelligence (AI), large language models (LLMs) are developing at a revolutionary speed, excelling in tasks such as writing, coding, and Q&A. However, to truly integrate these AI models into our daily lives and workflows, they need to interact effectively with the outside world. Function Calling and MCP (Model Context Protocol) … Read more
Introduction Competition Link: Code Qwen AI Challenge – Algorithm Track_Algorithm Competition_Questions and Data_Tianchi Competition – Data and Questions from Alibaba Cloud Tianchi Code is one of the high-quality languages created by humans, replacing the diverse natural language through high abstraction, ultimately converting to specific programs to complete tasks for humans. It possesses advantages such as … Read more