The previous article introduced the basic concepts, mainstream architectures, and application frameworks of AI Agents. In this article, we begin to review the AI Agents of 2024, starting with the well-known best practices from Anthropic: Building Effective Agents. For the original text, see [1]. This article summarizes the main content. Over the past year, Anthropic … Read more
The trend of AI Agents is beginning to spread to the Web3 gaming sector. On January 17, Solana officially promoted the ecological game fundraising platform Indie.fun, quickly attracting market attention. Indie.fun is a platform similar to Pump.fun, focused on providing community-driven fundraising support for game projects within the Solana ecosystem. What is the background of … Read more
↑ Click the above “Era Java” to follow us, Focus on New Technologies, Learn New Knowledge! Google’s latest white paper defines an AI Agent as a large model application that can observe the world, utilize tools, and take actions to achieve specific goals. It not only possesses autonomy but can also actively infer the next … Read more
Selected fromthe Gradient Author：Sebastian Ruder Translated by Machine Heart In the field of computer vision, models pre-trained on ImageNet are commonly used for various CV tasks such as object detection and semantic segmentation. In contrast, in the field of natural language processing (NLP), we typically only use pre-trained word embedding vectors to encode the relationships … Read more
▲Click above Leifeng Network to follow The Four Major Boundaries: Data Boundary, Semantic Boundary, Symbolic Boundary, and Causal Boundary Written by | Cong Mo Currently, deep learning in natural language processing has its limitations. So where are the boundaries of its effectiveness? This is a question we should ponder deeply. Recently, at the Fourth Language … Read more
(Click the blue text above to quickly follow us) Compiled by: Author of the Jolly Online Column – Ree Ray If you have good articles to submit, please click → here for details This article introduces Natural Language Processing in Python from the ground up, covering both concepts and practical applications. (Author’s note: This article … Read more
A Big Data Digest production, reprint requirements see the end of the article. Big Data Digest proudly presents the University of OxfordDeep Learning and Natural Language Processing Course (Deep NLP) dubbed video! Lecture 2a-1 Word Vectors and Lexical Semantics (Part 1) Content of this session: Taught by Ed Grefenstette from DeepMind, discussing word vectors and … Read more
This article is authorized to be reprinted from the WeChat public account Paper Weekly (ID: paperweekly). Paperweekly shares interesting papers in the field of natural language processing every week. Introduction Dialogue systems are currently a research hotspot and a focus for venture capital. Since the beginning of 2016, countless companies have been established that create … Read more
Reprinted with permission from AI TIME Discussion Author: Liu Zhiyuan Editor: Gege “Language is like amber, preserving many precious and wonderful thoughts safely inside.” Since the dawn of humanity, natural language has carried the wisdom of generations, accumulating endless knowledge. This rich treasure of knowledge has attracted many curious AI researchers to cultivate, explore, and … Read more
Author | Howard Source | Zhihu 1. NLP’s Head Start The history of NLP development is quite early, as the need for language processing has existed since the invention of computers. Various string algorithms have been intertwined with the history of computer development. The great Chomsky proposed generative grammar, which is the most basic framework … Read more