popularization of science

When Opus 4.7 was first released, there were a lot of complaints on X. Some people said that one conversation used up her session quota. Some people said that one conversation maxed out her session quota, others said that the cost to run the same piece of code more than doubled from the previous week, and still others revealed that their $200 Max subscription touched down in less than two hours...

What is MCP? What is MCP Model Context Protocol (MCP) is a communication protocol designed for machine learning model services to efficiently manage contextual information during model inference (e.g., session state, environment...

In recent times, the inference model DeepSeek-R1 has arguably been the number one topic in AI. Those who have used it know that the model outputs a piece of thought chain content before outputting the final answer. Doing so improves the accuracy of the final answer. Today's post will take you through the chain of thought...

With the rapid development of artificial intelligence technology, large-scale language modeling (LLM) has become a key force driving this field forward. In order to better master and utilize LLM technology, it is particularly important to understand its core parameters. In this paper, we will take an in-depth look at three key parameters in large-scale language modeling: the Toke...

Overview: Explain what is meant by "inference model" Discuss the advantages and disadvantages of inference models Outline the DeepSeek R1 training methodology Describe the four main approaches to building and improving inference models Share a view of the LLM domain after the release of DeepSeek V3 and R1 Provide a view of the LLM domain at a small cost...

Knowledge Distillation in the Era of Big Models In the field of Artificial Intelligence (AI) and Machine Learning, Knowledge Distillation (KD), as an important model compression technique, is receiving more and more attention in the era of big models now. In simple terms, it works by...

Recently, many people engaged in large model training and reasoning have been discussing the relationship between the number of model parameters and model size. For example, the famous alpaca series LLaMA large model contains LLaMA-7B, LLaMA-13B, LLaMA-33B and LLaMA...

In the field of artificial intelligence and machine learning, especially when building applications such as RAG (Retrieval Augmented Generation) systems and semantic search, efficiently processing and retrieving massive unstructured data becomes crucial. Vector databases have emerged as a core technology to address this challenge. They are not only for storing high-dimensional ...

1. Introduction to AI Agent (LLM Agent) 1.1. Terminology Agent: "Agent" usually refers to a manifestation of intentional action. In the philosophical realm, an Agent can be a human, an animal, or even a concept or entity with autonomy. AI Agent...

In the vast world of Artificial Intelligence (AI), large models play a pivotal role. These large and complex models have shown amazing intelligence and potential through deep learning and massive data training. However, the development path of big models is not a single one, and open source and closed source have become two major trends...

In recent years, China has successively issued relevant regulatory documents on the management of algorithmic recommendation and deep synthesis, as well as the management of generative artificial intelligence services, initially building up a regulatory mechanism for artificial intelligence technologies and services in specific fields. Specifically in the field of generative AI services, the "Generative AI Service Management...

The release of ChatGPT3.5 in December 2022 triggered extensive attention to large models worldwide, and domestic universities took the lead in releasing their products in February 2023, and numerous general-purpose large models and vertical large models emerged in China since June 2023, and the domestic large model industry is now showing a "hundred...

⚙️ The Three Main Categories of Artificial Intelligence Artificial Intelligence (AI) can be divided into three categories at a high level: 1. Narrow Artificial Intelligence (ANI) Narrow Artificial Intelligence (AI) is the AI that we are often exposed to today, which performs specific tasks such as speech recognition and recommendation algorithms.ANI can only be accomplished...

I. Introduction ChatGPT, Open AI, Big Models, Cue Word Engineering, Token, Illusion, and other AI hackneyed phrases have repeatedly washed over everyone's perceptions in the common yet magical year of 2023. Letting some people lie completely flat while letting others open...

Artificial Intelligence (AI) has a long history. In ancient myths and legends, skilled craftsmen could make artificial people and give them intelligence or consciousness. AI in the modern sense began when classical philosophers used mechanical symbols to process...