How Large Models Change Content Ecology

How Large Models Change Content Ecology

After the generational breakthrough of large language models, several search engines both domestically and internationally are trying to integrate them, and the changes brought to user experience are evident. For example, ChatGPT has already been integrated into search engines. Baidu Search also began internal testing of “AI Partner” in early May, where the AI automatically … Read more

How to Address Uncontrollable AI Hallucinations

How to Address Uncontrollable AI Hallucinations

Click the “Turing Artificial Intelligence” above, and select the “Star” public account Get the AI insights you want, delivered first-hand Copyright Statement Reprinted from Technology Generation Qian Gaoyuan, copyright belongs to the original author, used for academic sharing only AI Hallucinations Can’t Be Stopped, But These Technologies Can Mitigate Their Damage Developers have ways to … Read more

A Guide to Large Model Evolution from Huggingface: No Need to Fully Reproduce GPT-4

A Guide to Large Model Evolution from Huggingface: No Need to Fully Reproduce GPT-4

Produced by Big Data Digest After the explosive popularity of ChatGPT, the AI community has entered a “hundred model battle.” Recently, Nathan Lambert, a machine learning scientist at Huggingface, organized the current strengths of large models from an open-source perspective in a blog post, offering many profound insights. What this looks like is instead of … Read more

Principles Of Implementation For AutoGPT And HuggingGPT

Principles Of Implementation For AutoGPT And HuggingGPT

Recently, AutoGPT and HuggingGPT have become extremely popular. They automatically make decisions using the ChatGPT large model and call upon other models to achieve a high degree of automated decision-making, expanding the application scope of large models. However, the most critical aspect is understanding their specific implementation principles and how they operate internally, which is … Read more

The Utility of Small Models: GPT-4 + AutoGPT for Online Decision Making

The Utility of Small Models: GPT-4 + AutoGPT for Online Decision Making

New Intelligence Report Editor:LRS [New Intelligence Guide] A new paradigm combining large language models and AutoGPT has arrived! This paper presents a comprehensive benchmark study of Auto-GPT agents in real-world decision-making tasks, exploring the application of large language models (LLMs) in decision-making tasks. Paper link:https://arxiv.org/pdf/2306.02224.pdf The authors compared the performance of several popular LLMs (including … Read more

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta’s LLaMA

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta's LLaMA

Yann LeCun announced on February 25, 2023, Beijing time, that Meta AI has publicly released LLaMA (Large Language Model Meta AI), a large language model that includes four parameter sizes: 7 billion, 13 billion, 33 billion, and 65 billion. The aim is to promote research on the miniaturization and democratization of LLMs. Guillaume Lample claimed … Read more

Google & Hugging Face: The Most Powerful Language Model Architecture for Zero-Shot Learning

Google & Hugging Face: The Most Powerful Language Model Architecture for Zero-Shot Learning

Data Digest authorized reprint from Xi Xiaoyao’s Cute Selling House Author: iven From GPT-3 to prompts, more and more people have discovered that large models perform very well under zero-shot learning settings. This has led to increasing expectations for the arrival of AGI. However, one thing is very puzzling: In 2019, T5 discovered through “hyperparameter … Read more

Detailed Explanation of LlamaIndex Workflows: Key to Improving Data Processing Efficiency

Detailed Explanation of LlamaIndex Workflows: Key to Improving Data Processing Efficiency

Click the “Blue Words” to Follow Us LlamaIndex, as a powerful framework, provides a solid foundation for building data pipelines that connect with large language models (LLMs). It implements a modular approach to query execution through structured workflows, simplifying solutions to complex problems. Today, let’s discuss the workflows of LlamaIndex. 1. Basics of LlamaIndex Workflows … Read more

Simplifying Complexity: Principles for Building Efficient and Reliable AI Agents

Simplifying Complexity: Principles for Building Efficient and Reliable AI Agents

Definition of AI Agent When it comes to agents, many people think it is a product of LLMs, but that is not the case. The modern definition of AI agents has gradually formed alongside the development of AI since the 1950s. Its roots can be traced back to earlier philosophical thoughts and scientific explorations. In … Read more

Comparing Mistral AI and Meta: Top Open Source LLMs

Comparing Mistral AI and Meta: Top Open Source LLMs

Source: Deephub Imba This article is about 5000 words long, and it is recommended to read for 10 minutes. This article will compare Mistral 7B vs Llama 2 7B and Mixtral 8x7B vs Llama 2 70B. To improve performance, large language models (LLMs) typically achieve this goal by increasing the model size. This article will … Read more