Three Agents Surpass GPT-4 Using Open Source Models

Three Agents Surpass GPT-4 Using Open Source Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and industry researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted … Read more

Phidata: Framework for Building AI Assistants Using LLM Function Calls

Phidata: Framework for Building AI Assistants Using LLM Function Calls

  Phidata: A framework for building AI assistants using LLM function calls, allowing LLMs to intelligently choose actions based on responses by executing functions. The assistant has built-in memory, knowledge, storage, and tools, making it easy to build various applications such as knowledge assistants, data assistants, Python assistants, customer assistants, research assistants, marketing assistants, travel assistants, … Read more

Llama 3.2 Reasoning WebGPU: A Powerful In-Browser Model

Llama 3.2 Reasoning WebGPU: A Powerful In-Browser Model

Llama 3.2 Reasoning WebGPU: A compact and powerful reasoning language model that runs in the browser, akin to putting an intelligent brain into a webpage, enabling quick understanding and reasoning of various issues. References: [1] http://github.com/huggingface/transformers.js-examples/tree/main/llama-3.2-reasoning-webgpu Welcome to support my knowledge platform (NLP Engineering): Dify source code analysis and Q&A, Dify dialogue system source code, … Read more

In-Depth Analysis of LLAMA3 Paper

In-Depth Analysis of LLAMA3 Paper

Introduction Recently, while reviewing the papers I had previously studied in depth, I found that some notes were still very valuable. I made some minor adjustments and am publishing them for everyone to see. LLama3 is a paper from a few months ago, but each reading still brings new insights. This article discusses key points, … Read more

10 Essential Python Tools for Natural Language Processing

10 Essential Python Tools for Natural Language Processing

Hello everyone, I’m Hao! Today I will introduce 10 incredibly useful Python tools for Natural Language Processing (NLP). As a Python developer, I understand how important it is to have a handy tool when dealing with text data. These tools not only help us better understand and analyze text but also make our work much … Read more

Spacy: The Fighter Jet of Natural Language Processing!

Spacy: The Fighter Jet of Natural Language Processing!

Spacy: The Fighter Jet of Natural Language Processing! Hello everyone, I am your old friend Cat Brother from Python! Today I bring you a powerful natural language processing (NLP) tool with the performance of a “fighter jet”—Spacy! When you hear the term “natural language processing,” which might sound a bit profound, do you feel a … Read more

The Upstream, Midstream, and Downstream of AIGC Industry Chain

The Upstream, Midstream, and Downstream of AIGC Industry Chain

AIGC stands for Artificial Intelligence Generated Content, which refers to content generated automatically using artificial intelligence technologies, particularly deep learning algorithms. AIGC is a new content creation method that follows Professional Generated Content (PGC) and User Generated Content (UGC). AIGC encompasses many different industries and applications. Based on the characteristics of the AIGC industry, its … Read more

The Data Science Behind Natural Language Processing

The Data Science Behind Natural Language Processing

Produced by Big Data Digest Source: medium Translated by: Lu Zhen, Xia Yahui Natural Language Processing (NLP) is a field within computer science and artificial intelligence. NLP is the communication between humans and machines, allowing machines to interpret our language and respond effectively. This field has existed since the 1950s; you may have heard of … Read more

Neural Network Transfer Learning for Natural Language Processing

Neural Network Transfer Learning for Natural Language Processing

Recommended by New Intelligence Yuan Source: Zhuangzhi (ID: Quan_Zhuanzhi) [New Intelligence Yuan Guide] In reality, natural language processing faces various types of tasks across multiple domains and languages, making it impractical to label data for each task individually. Transfer learning allows for the transfer of learned knowledge to related scenarios. This article introduces Dr. Sebastian … Read more