Best of NLPSeptember 2023

  1. 1
    Article
    Avatar of developertechDeveloper Tech·3y

    GitHub opens Copilot Chat to all developers

    Copilot Chat was launched for ‘Business’ users in July. The AI assistant is capable of assisting developers in their preferred natural language and promises to reduce repetitive tasks. The tool empowers developers to learn and build in the language that feels most natural.

  2. 2
    Article
    Avatar of ghblogGitHub Blog·3y

    GitHub Copilot Chat beta now available for all individuals

    GitHub Copilot Chat now available for all individuals - The GitHub Blog Introducing auto-triage rules for Dependabot. Users can access the powerful AI assistant that major enterprises are leveraging to turbocharge developer productivity and happiness. Chat is supported in both Visual Studio and Visual Studio Code editors.

  3. 3
    Article
    Avatar of kdnuggetsKDnuggets·3y

    Top 5 Free Alternatives to GPT-4

    Meta AI is enabling researchers and developers to build innovative applications powered by advanced language capabilities. LlaMA 2 is a family of state-of-the-art large language models released by Meta AI. You can access the model for free on HuggingFace or try the official demo on lmsys.org.

  4. 4
    Article
    Avatar of dzDZone·3y

    Why Web Developers Still Reign Supreme

    Why Web Developers Still Reign Supreme - DZone The Power of AI is a buzzword nowadays. We will explore the benefits of incorporating AI in web development, the popular AI technologies used by web developers, and how AI enhances the user experience on websites. Join the DZone community and get the full member experience.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Learn LangChain for LLM Development

    LangChain is a framework that serves as a bridge between developers and large language models, making the design of AI-powered applications easier. The course on the freeCodeCamp.org YouTube channel teaches the basics of LangChain, covering core concepts and capabilities, creating projects like a pet name generator and a YouTube Assistant, working with agents, and designing customized storage solutions.

  6. 6
    Article
    Avatar of kdnuggetsKDnuggets·3y

    5 Free Books to Help You Master Python

    This article presents five free books to help readers become proficient in Python and build maintainable applications. The recommended books cover topics such as data analysis, automation, patterns, recipes, and clean architecture.

  7. 7
    Article
    Avatar of medium_jsMedium·3y

    Something is brewing ☕️

    MM Labs team will focus on creating next-gen innovative projects that will propel the MM community to greater heights. The first ever AI-powered Web3 Aggregator Maddy.gg, your personal AI assistant. You might have ever used swap/DEX aggregators to obtain the best pricing/slippage for your chain trading.

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    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Use Vector Embeddings to Create an AI Assistant

    Vector Embeddings are a key concept in the realm of machine learning and artificial intelligence. They bridge the gap between human language and machine understanding. We just posted a course on the freeCodeCamp.org YouTube channel that will teach out about vector embeddings and how to create an AI assistant.

  9. 9
    Article
    Avatar of developercomDeveloper.com·3y

    7 Best Python Libraries for Machine Learning and AI

    7 Best Python Libraries for Machine Learning and AI Artificial intelligence (AI) and machine learning (ML) are both popular fields in software development. This tutorial will highlight the best AI, ML and deep learning Python libraries that programmers, data scientists, and researchers can use to build intelligent applications and solve complex problems.

  10. 10
    Article
    Avatar of pointerPointer·3y

    microsoft/lida: Automatic Generation of Visualizations and Infographics using Large Language Models

    LIDA is a library for generating data visualizations and infographics using Large Language Models LIDA. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g. matplotlib, seaborn, altair, d3 etc) LIDA treats visualizations as code.