Best of NLPApril 2023

  1. 1
    Article
    Avatar of communityCommunity Picks·3y

    GitHub Copilot for CLI makes Terminal scripting and Git as easy as asking a question

    GitHub Copilot CLI brings AI code completion to the terminal, making scripting and using Git commands easier. It provides natural language translations for shell commands, Git commands, and GitHub CLI commands. Users can simply input their desired task in plain language and receive code suggestions and explanations. GitHub Copilot CLI aims to improve productivity and help users navigate complex command line tools.

  2. 2
    Article
    Avatar of hrbHEARTBEAT·3y

    Prompt Engineering

    In just five days, ChatGPT managed to exceed one million users, a feat that took Netflix 3.5 years, Facebook ten months and Instagram two months. The language model was trained on a 300 billion word (text-DaVinci-003) dataset and fine-tuned on GPT-3.

  3. 3
    Article
    Avatar of kdnuggetsKDnuggets·3y

    8 Open-Source Alternative to ChatGPT and Bard

    The LLaMA project encompasses a set of foundational language models that vary in size from 7 billion to 65 billion parameters. The model Vicuna-13B has achieved more than 90%* quality of OpenAI ChatGPT and Google Bard in 90% of cases. It is a complete tools kit for creating your chatbot.

  4. 4
    Article
    Avatar of mlnewsMachine Learning News·3y

    Best Free Prompt Engineering Resources (2023)

    PromptPerfect is made to automatically improve prompts for large language models (LLMs), large models (LMs), and LMOps. It can optimize prompts for the ChatGPT, GPT-3.5, DALLE, and StableDiffusion models. Using PromptPerfect’s multi-goal optimization, users may tailor prompt optimization to suit their unique requirements.

  5. 5
    Article
    Avatar of bytebytegoByteByteGo·3y

    EP53: Design effective and safe APIs

    In this video, we're diving into the world of computer memory and storage. We'll talk about the fundamental duo: RAM and ROM - DDR4 and DDR5 - Firmware and BIOS. Join the ByteByteGo Talent Collective to start getting bi-monthly drops of world-class hand-curated engineers.

  6. 6
    Article
    Avatar of ghblogGitHub Blog·3y

    What developers need to know about generative AI

    What developers need to know about generative AI is, how it works, some real-world applications, and how it’s already changing the way people (and developers) work. Generative AI models and applications can, for example, be used for: Text generation, as a field.

  7. 7
    Article
    Avatar of tcTechCrunch·3y

    What is Auto-GPT and why does it matter?

    Auto-GPT is an open source app created by game developer Toran Bruce Richards. It uses OpenAI’s text-generating models, mainly GPT-3.5 and G PT-4, to act ‘autonomously’ It can also be hooked up to speech synthesizers, like ElevenLabs’.

  8. 8
    Article
    Avatar of communityCommunity Picks·3y

    Manipulate Strings With Regular Expressions In JavaScript

    Learn how to use regular expressions to manipulate strings in JavaScript, including pattern matching, validation, search, replace, and split operations.

  9. 9
    Article
    Avatar of dzDZone·3y

    21 Hidden Careers in the AI Revolution

    As AI technology continues to evolve, it is creating a vast array of job opportunities that were once unheard of. The rise of AI has created a need for AI professionals who can develop and implement AI tools and solutions tailored to this niche market. Here are 21 hidden careers in the AI revolution that are driving change in the tech industry.