Best of LLM2023

  1. 1
    Article
    Avatar of joshwcomeauJosh W Comeau·3y

    The End of Front-End Development

    GPT-4 can take a hand-drawn sketch of a website, and turn it into a fully-functional website, including a bit of JS to wire up the “Reveal Punchline” button. This is remarkable, and I think it has a lot of potential when it comes to prototyping.

  2. 2
    Article
    Avatar of mlnewsMachine Learning News·3y

    40+ Cool AI Tools You Should Check Out (April 2023)

    Quinvio AI Quinvio is an AI video creation tool that enables quick video presentations with an intuitive editor, AI assistance for writing, and an option to choose an AI spokesperson. Ask your PDF AskYourPdf is anAI chatbot that helps users interact with PDF documents easily and extract insights.

  3. 3
    Article
    Avatar of communityCommunity Picks·2y

    Announcing Grok

    Grok is an AI modeled after the Hitchhiker’s Guide to the Galaxy that aims to answer questions and suggest what questions to ask. It is still in the early beta stage but shows promising results in benchmark tests. xAI is working on various research directions to improve reasoning, safety, retrieval, and multimodal capabilities in AI systems. Limited early access to Grok is available for users in the United States.

  4. 4
    Article
    Avatar of pragmaticengineerThe Pragmatic Engineer·3y

    Github Copilot and ChatGPT alternatives

    There are a growing number of AI coding tools that are alternatives to Copilot. There are plenty of tools to choose from aside from Copilot and ChatGPT. Here are the most promising ones worth checking out, with an emphasis on those with self-hosting as an option.

  5. 5
    Article
    Avatar of naderNader's Thoughts·2y

    Introducing React Native AI

    React Native AI is a full stack framework for building cross-platform mobile AI apps. It provides pre-built components and features for streaming/real-time responses, LLM normalization, OpenAI Assistants, image processing, chat UI, and theming/styling.

  6. 6
    Article
    Avatar of pointerPointer·3y

    ChatGPT Prompt Engineering for Developers

    Learn prompt engineering best practices for application development using large language models (LLMs) like ChatGPT. Gain hands-on practice with the OpenAI API.

  7. 7
    Article
    Avatar of ghblogGitHub Blog·3y

    The architecture of today’s LLM applications

    Learn about the architecture of today's LLM applications, including the steps to build an LLM app, choosing the right LLM, customizing the LLM, setting up the app's architecture, and conducting online evaluations. Discover real-world impact examples of LLM apps in use.

  8. 8
    Article
    Avatar of medium_jsMedium·3y

    Rivet Is An Open-Source Visual AI Programming Environment

    Rivet is a no code to low code prompt chaining GUI which is focussed on building complex flows, which can split (run processes in parallel) and converge again. Data handling and transformation plays a big part in the Rivest UI, together with vector stores and KNN.

  9. 9
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    How to Build a Large Language Model from Scratch Using Python

    Learn how to create your own large language model from scratch using Python. Elliot Arledge created this course to teach you about the data handling, mathematical concepts, and transformer architectures that power these linguistic juggernauts. You will learn about train and validation splits, the bigram model, and the critical concept of inputs and targets.

  10. 10
    Article
    Avatar of communityCommunity Picks·2y

    Ollama

    Get up and running with Llama, a large language model, locally. Run Llama on macOS and Linux, with Windows support coming soon.

  11. 11
    Article
    Avatar of communityCommunity Picks·3y

    nomic-ai/gpt4all: gpt4all: run open-source LLMs anywhere

    GPT4All is an ecosystem to run powerful and customized large language models locally on consumer grade CPUs and any GPU. It allows you to download and plug in 3GB - 8GB GPT4All model files.

  12. 12
    Article
    Avatar of communityCommunity Picks·2y

    AI for Web Devs: What Are Neural Networks, LLMs, & GPTs?

    This article provides an overview of AI, artificial neural networks, large language models, parameters, embeddings, and GPTs. It explains how LLMs are trained on data and can generate text based on probability. The article also discusses the non-deterministic nature of GPTs and their potential for hallucinations. The next post will explore prompt engineering.

  13. 13
    Article
    Avatar of communityCommunity Picks·3y

    mudler/LocalAI: :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Run

    LocalAI is a free and open-source alternative to OpenAI that allows running LLMs, generating images and audio locally or on-prem with consumer-grade hardware. It supports multiple model families and does not require a GPU. It offers various features including text generation, text to audio, audio to text, image generation, OpenAI functions, embeddings generation, and more. The project is community-driven and welcomes contributions.

  14. 14
    Article
    Avatar of mlnewsMachine Learning News·3y

    14 Super-Powerful Time-Saving AI Tools

    Multi-On is the only option to consider if you seek a useful but simple-to-use chatbot. Olli The Olli AI app aids in the collection, analysis, and presentation of business data in an understandable manner. Fliki An AI technology called Fliki can convert text into movies with artificial voices.

  15. 15
    Article
    Avatar of mlnewsMachine Learning News·3y

    Best 10+ AI Plugins on ChatGPT (2023)

    Best 10+ AI Plugins on ChatGPT (2023) - MarkTechPost ➡️ Annotate all types of unstructured data rapidly and accurately with customizable annotation tasks with Kili Technology. In any case, which plugins forChatGPT are the finest, and should you use them?

  16. 16
    Article
    Avatar of phProduct Hunt·2y

    Kirby 4.0 - Kirby is the CMS that adapts to you

    Kirby 4.0 is a CMS that adapts to the user. It offers features for validating, monitoring, and safeguarding LLM-based apps.

  17. 17
    Article
    Avatar of theregisterThe Register·3y

    Apple bans use of ChatGPT internally

    Apple bans use of ChatGPT internally for internal use. Apple also banned GitHub's automated coding tool, Copilot, as well. Apple joins an ever-growing list of companies like Amazon and a number of banks including JPMorgan Chase, Bank of America, Citigroup and Deutsche Bank.

  18. 18
    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.

  19. 19
    Article
    Avatar of phProduct Hunt·2y

    GPT Router - Avoid OpenAI Downtimes: One API for 30+ LLMs

    GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming. Stay operational even when OpenAI is down.

  20. 20
    Article
    Avatar of mlnewsMachine Learning News·3y

    Meet MetaGPT: A GPT-4-powered Application That Can Create Websites, Apps, And More Based Only On Natural Language Prompts

    Pico’s MetaGPT: A GPT-4-powered Application that can create Websites, Apps, And More Based Only On Natural Language Prompts. This powerful no-code solution to app building knocks all the expectations out of the park.

  21. 21
    Article
    Avatar of earthlyEarthly·2y

    The Future is Rusty

    The article discusses the challenges of learning complex programming languages like Rust and how LLMs (Large Language Models) can help with the intermediate material problem. By providing instant feedback and assistance, LLMs can bridge the gap in knowledge and enhance the learning process in programming. The article encourages readers to tackle challenging projects with the support of LLMs and emphasizes that learning curves are now less steep.

  22. 22
    Article
    Avatar of pointerPointer·3y

    cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙

    MemGPT is a system that manages memory in language models to provide extended context. It can be used to create chatbots that can talk to SQL databases and local files. MemGPT can be run locally and has various commands for interaction.

  23. 23
    Article
    Avatar of aiplainenglishAI in Plain English·3y

    🦜️ LangChain + Streamlit🔥+ Llama 🦙: Bringing Conversational AI to Your Local Machine 🤯

    Large Language Models (LLMs) refer to machine learning models capable of producing text that closely resembles human language. These models have created exciting prospects, especially for developers working on chatbots, personal assistants, and content creation. LLaMA is a new large language model designed by Meta AI, which is Facebook’s parent company.

  24. 24
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Vector Search and RAG Tutorial – Using LLMs with Your Data

    Learn how to implement Vector Search and the RAG architecture in your applications using Atlas Vector Search. Vector embeddings can be used to organize data and perform semantic similarity searches. RAG improves response generation by utilizing relevant retrieved documents.

  25. 25
    Article
    Avatar of hnHacker News·3y

    dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

    This post is a prompt engineering guide that contains papers, guides, lectures, references, and tools related to prompt engineering for large language models. It explains the importance of prompt engineering in developing and optimizing language models for various applications.