Why GPT-3.5 Is Cheaper Than LLaMA 2

Why GPT-3.5 Is Cheaper Than LLaMA 2

Source: OneFlow This article has a total of 7200 words and is recommended to be read in over 10 minutes. This article provides guidance for selecting suitable open-source or closed-source language models to achieve better cost-effectiveness under different task requirements. By comparing the costs and latencies of LLaMA-2 and GPT-3.5 through testing, the author calculated … Read more

Generative AI and Its Deep Integration with the Financial Industry

Generative AI and Its Deep Integration with the Financial Industry

Ouyang Rihui, Researcher and PhD Supervisor at the China Internet Economy Research Institute, Central University of Finance and Economics; Special Researcher at the Beijing Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era Research Center. Abstract: Generative Artificial Intelligence, as a new production method, possesses technical-economic characteristics such as complementarity, intelligence, integration, … Read more

Mita AI Search: The Ideal AI Model for Academic Research

Mita AI Search: The Ideal AI Model for Academic Research

This is the 9th article by Teacher Wang Jue introducing AIGC. Please refer to the previous articles: #ai Teacher Wang Jue’s AIGC Educational Application Collection —————————————— Although large models are amazing, they can help us with general document work But Teacher Wang Jue has always believed: For professional research and education, large models are not … Read more

Comparative Analysis of GraphRAG and RAG

Comparative Analysis of GraphRAG and RAG

Source: DeepHub IMBA This article is about 1600 words long and is recommended to be read in 5 minutes. Retrieval-Augmented Generation is a technical approach aimed at enhancing the performance of large language models. Overview of Retrieval-Augmented Generation (RAG) Technology Retrieval-Augmented Generation (RAG) is a technical method aimed at enhancing the performance of Large Language … Read more

Beginner Friendly: What Are Large Language Models and RAG?

Beginner Friendly: What Are Large Language Models and RAG?

What Are Large Language Models (LLM) Large Language Models (LLM), also known as large language models, are a type of artificial intelligence model designed to understand and generate human language. The LLMs we commonly refer to typically contain hundreds of billions (or more) parameters and are trained on massive amounts of text data, allowing them … Read more

Beyond GPT-4! A Complete Guide to the Powerful Model Claude 3

Beyond GPT-4! A Complete Guide to the Powerful Model Claude 3

Follow and star “AIGC Developer“ Delivered daily at 08:45 Recently, Anthropic released shocking news: the new Claude 3 family has arrived! It is said that the strongest version, Claude 3 Opus, has surpassed all large models, including GPT-4, in reasoning, mathematics, coding, multilingual understanding, and vision, demonstrating near-human understanding capabilities. Claude 3 is a large … Read more

Prospects For Large Language Models In The Era Of AGI

Author: Wang Yurun This article is about 5000 words long and suggests a reading time of 10 minutes. The goal of AGI has always been the ultimate vision of artificial intelligence research. 1. What is AGI AGI (Artificial General Intelligence) refers to an artificial intelligence system that can exhibit a wide and flexible range of … Read more

Building Instruction-Based Intelligent Agents: Insights from Transformer

Building Instruction-Based Intelligent Agents: Insights from Transformer

Source | The Robot Brains Podcast Translation | Xu Jiayu, Jia Chuan, Yang TingIn 2017, Google released the paper “Attention Is All You Need,” which proposed the Transformer architecture. This has become one of the most influential technological innovations in the field of neural networks over the past decade and has been widely applied in … Read more

Can Transformers Plan for Future Tokens?

Can Transformers Plan for Future Tokens?

Do language models plan for future tokens? This paper provides the answer. “Don’t let Yann LeCun see this.” Yann LeCun said it’s too late; he has already seen it. Today, we will introduce a paper that “LeCun must see,” exploring the question: Is the Transformer a far-sighted language model? When it performs inference at a … Read more

Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

1. Introduction With the rapid evolution of generative artificial intelligence, multimodal large models are increasingly demonstrating their advantages in multimodal content understanding and generation. The multimodal large model (hereinafter referred to as “large model”) refers to artificial intelligence models capable of processing and understanding various modal data inputs such as text, images, audio, and video. … Read more