"CHATGPT"

Resultado da pesquisa de

This article compares and tests five major AI platforms (ChatGPT, Google Gemini, HuggingChat, Claude, and Mistral AI), evaluating their ease of use and the quality of results in creating AI agents.

The launch of ChatGPT in November 2022 has opened the eyes of various industry players to AI large language model. This frenzied dynamic permeated the Crypto space, and this article aims to introduce the development of AI, its current status, and the industry that has emerged from the combination of AI+Crypto.

AI (Artificial Intelligence), especially AIGC (AI Generated Content, AI Generated Content) such as ChatGPT and Midjourney, has been fueled by domestic and foreign celebrities and tech giants, and has infatuated the social media and news pages. If there were any shoeshine boys, they would have been chatting in a ruckus for a long time. With all this news, how many people still remember Web3? Blockchain, cryptocurrencies, DeFi, NFT, etc. have recently been mocked as “overdue topics.”

AI has emerged as a significant catalyst for societal advancement, with the rise of large-scale AI models like ChatGPT fueling rapid growth in AI products and applications. The fusion of AI with Web3 stands out as a leading-edge technical trend, sparking the continuous emergence of related projects. This article delves into the potential and trajectory of AI+Web3 across the industry chain, encompassing Web3's empowerment of AI and the integration of AI technologies in Web3 applications. By enhancing data acquisition, preprocessing, and model validation, Web3 technology can amplify AI development and tackle challenges such as transparency, bias, and ethics. Currently, AI+Web3 applications are predominantly seen in sectors like gaming, social networking, data analytics, and financial prediction, with a competitive edge rooted in product and technical expertise accumulation.

With the explosive popularity of ChatGPT, the market has rapidly focused on the field of artificial intelligence. DeepBrain Chain, as a project combining AI and Web3, utilizes decentralized features to achieve more open operations. Below, we will take you through the DeepBrain network from various aspects, including project background, technology, and token economics.

This article provides a detailed introduction to the cross-chain project Zetachain and how it addresses the issue of full-chain interoperability.

This article explains how blockchain technology can solve the current bottlenecks in training large AI models, including: data volume and privacy balance, cost and computing power, etc., and explores the interactive relationship between AI and Social.

This article organizes and reviews the entrepreneurial projects combining AI with Crypto observed over the past year from a primary market perspective. It examines the angles entrepreneurs have entered the market, their achievements, and areas still under exploration.

AI Agent is a hot topic in the field of artificial intelligence in 2025, but many people still misunderstand its definition. AI Agent projects need to have three core capabilities of perception, thinking, and action, and solve problems in logical steps. This article visually demonstrates the working principle of AI Agent through the case of automatic investment in cryptocurrency, from reading news to executing buying and selling operations, revealing its actual value in real-world applications.

Trained AI can utilize machine learning algorithms, natural language processing (NLP), and statistical models to gather vast amounts of data and learn from it, making predictions or even decisions to assist traders in the crypto market. This article delves into the impact of AI on the cryptocurrency market and introduces some promising tools that leverage AI technology to aid crypto investment.

This article reveals that Bittensor may represent a paradigm shift in decentralized artificial intelligence networks, heralding a wave of technology-driven business model innovation.

This article explores the rapid development of Artificial Intelligence (AI) and Web3 technologies and the potential value and impact of their integration. AI excels in enhancing productivity, while Web3 transforms production relationships through decentralization. The combination of these technologies brings innovative applications in data analysis, personalized user services, and security and privacy protection.

This article explores the integration of AI narratives with seven established public blockchains, including Qtum, Near, and Polygon. However, overall, even with AI integration, these established public blockchains seem to show less vigor and determination, teetering on the line between bandwagoning and genuine efforts.

This article explores how The Graph is expanding its Web3 infrastructure by integrating AI technologies. It details how its Inference Service and Agent Service help dApp developers more easily incorporate AI functionalities.

This article reviews the definition and significance of coprocessors, and how to use the Bonsai ZK coprocessor architecture to expand applications.