Large Language Models

Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects

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Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects

Microsoft Open Sources The Phi Series: Technological Evolution, Capability Breakthroughs, And Future Prospects 1. Introduction In recent years, the parameter scale of large language models (LLMs) has shown an exponential growth trend, demonstrating strong general intelligence and achieving groundbreaking progress in numerous natural language processing tasks. However, these large models come with high training costs, … Read more

AI Innovations in Frontend Technology

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AI Innovations in Frontend Technology

Author | Zhou Tingshuai Planning | Xue Liang In an era dominated by large language models (LLMs), conversational flows have become the mainstream method for most interactive cloud communications. How can traditional frontend technologies integrate with these powerful models in light of this trend? Besides user interfaces (UI), in what other areas can frontend technology … Read more

Ollama 0.5.7 Deployment Guide: Easily Build Your AI Assistant!

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Ollama 0.5.7 Deployment Guide: Easily Build Your AI Assistant!

Introduction Do you want to run large language models locally and create your own AI assistant? The latest Ollama 0.5.7 version makes this easier than ever. By following the steps below, you will easily complete the deployment and embark on an intelligent journey!💡 🎯 What is Ollama? Ollama is a tool designed to help users … Read more

Installing Ollama Local Large Model for AI Workflows

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Installing Ollama Local Large Model for AI Workflows

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

Building a Minimal RAG Model Step by Step

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Building a Minimal RAG Model Step by Step

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

Key Module Analysis of RAG Full Link

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Key Module Analysis of RAG Full Link

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

Achieving AGI: The Limitations of Large Language Models

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Achieving AGI: The Limitations of Large Language Models

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

Building Multi-Agent RAG with Llama Index

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Building Multi-Agent RAG with Llama Index

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

Comparison of LlamaIndex and LangChain: Which Large Model Framework is Better?

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Comparison of LlamaIndex and LangChain: Which Large Model Framework is Better?

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

Cohere AI Model Tool for High-Quality Text Generation

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Cohere AI Model Tool for High-Quality Text Generation

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