Best of OpenAI2024

  1. 1
    Article
    Avatar of aiplainenglishAI in Plain English·2y

    Why is GPT-4o Free? OpenAI’s Master Plan

    OpenAI has launched GPT-4o for free with the aim of achieving mass adoption, competing with other models, collecting more data for training future models, countering the scorched earth theory, and driving network effects. They may also have even better products coming soon.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Learn Generative AI for Developers

    Generative AI is transforming AI by enabling machines to produce text, images, and audio. A new 21-hour course on the freeCodeCamp.org YouTube channel offers a comprehensive guide for developers, covering foundational concepts, advanced methods, hands-on projects, and deployment. Key tools include Hugging Face, OpenAI, LangChain, and vector databases, with practical applications like chatbots and text summarizers. The course also delves into Retrieval-Augmented Generation (RAG) and deploying AI apps on Google Cloud and AWS.

  3. 3
    Article
    Avatar of controversycontroversy.dev·2y

    Did Stack Overflow just admit defeat to AI?

    Stack Overflow's recent partnership with OpenAI raises questions about their motivation and ability to compete in the AI-driven landscape.

  4. 4
    Article
    Avatar of hnHacker News·2y

    Using GPT-4o for web scraping

    A developer experimented with using GPT-4o's structured outputs for web scraping, creating an AI-assisted web scraper. While the model performed well with simple and complex tables, it struggled with combined rows and generating XPaths. Cost is a concern due to the model's character volume requirements. Future improvements could include better UX through capturing browser events and further refining HTML data cleanup.

  5. 5
    Article
    Avatar of collectionsCollections·2y

    OpenAI Releases GPT-4o: A Faster and More Capable Generative AI Model

    OpenAI has released GPT-4o, a breakthrough AI model with enhanced capabilities in text, audio, and visual data processing. It offers faster response times, improved natural language understanding, and enhanced conversational abilities. GPT-4o is available for free to ChatGPT users, and a desktop version of ChatGPT has been launched for Mac with a Windows version coming soon. The GPT Store allows users to create and share their own GPT chatbots.

  6. 6
    Article
    Avatar of communityCommunity Picks·2y

    Musk warns that he will ban Apple devices if OpenAI is integrated at operating system level

    Elon Musk warns of banning Apple devices if OpenAI is integrated at the operating system level due to security concerns. Apple announced AI features and a partnership with OpenAI for ChatGPT. Musk has sued OpenAI and founded his own startup, xAI, to challenge OpenAI.

  7. 7
    Video
    Avatar of TechWithTimTech With Tim·2y

    Create a LOCAL Python AI Chatbot In Minutes Using Ollama

  8. 8
    Article
    Avatar of communityCommunity Picks·2y

    GPT-4o vs. GPT-4 vs. Gemini 1.5 ⭐ — Performance Analysis

    GPT-4o is OpenAI's latest language model, designed to comprehensively process text, audio, and video. It has enhanced quality and speed across multiple languages and provides a more inclusive and accessible AI experience. In an evaluation using a custom English dataset, GPT-4o demonstrated the lowest error rate among tested models, affirming its strong performance.

  9. 9
    Video
    Avatar of TechWithTimTech With Tim·2y

    Build a Python AI Voice Assistant in 30 Minutes - Full Tutorial

    Learn to build a Python AI voice assistant in 30 minutes that mimics OpenAI's voice mode. The assistant uses Live Kit for low-latency voice processing and OpenAI for speech-to-text and text-based intelligence. The tutorial covers setting up a virtual environment, installing dependencies, and coding the assistant to handle tasks like controlling room temperatures. The assistant can be expanded to integrate APIs and additional functionalities.

  10. 10
    Article
    Avatar of thisdotThis Dot·2y

    Build Facial Recognition and Chatbot AIs using TypeScript with Jack Herrington

    Learn how to build a voice-activated AI assistant using OpenAI's Whisper and TTS models combined with Meta's Llama 3.1, integrated within a Next.js application. The guide covers setting up the client-side using Next.js, recording and sending audio for processing, and handling voice responses. The backend setup includes using OpenAI SDK and Vercel AI SDK for processing audio and generating responses.

  11. 11
    Video
    Avatar of fireshipFireship·2y

    OpenAI shocks the world yet again… Sora first look

    OpenAI has released their latest AI video model called Sora, which can generate realistic videos up to a minute long. It uses a diffusion model and visual patches to generate video. The model's release and open source availability are uncertain.

  12. 12
    Video
    Avatar of webdevcodyWeb Dev Cody·2y

    This is the coolest side project I've worked on

    A project is described that allows users to create videos based on written stories, focusing initially on scary stories but aiming to expand to any type of story. The process involves breaking the story into segments, generating AI-powered images for each segment using OpenAI and Replicate, and then creating a video by stitching these segments together with Lambda functions. The project also aims to include features like background music and other enhancements. Future improvements are being considered, such as using GPU-optimized EC2 instances or rewriting code in faster programming languages like Go or Rust.

  13. 13
    Video
    Avatar of fireshipFireship·2y

    Degenerative AI… The recent failures of "artificial intelligence" tech

    Recent failures of artificial intelligence technology are discussed, including the instability of AI companies and the misleading nature of AI models.

  14. 14
    Article
    Avatar of faunFaun·2y

    Building AI Agents and Workflow

    With advancements in AI, creating AI Agents and AI-driven Workflows has become a growing interest. An AI Agent uses a Language Model (LLM) for reasoning and utilizes tools to perform tasks autonomously, while an Agentic Workflow combines these agents to execute a series of tasks. The post provides a step-by-step guide to build an AI Agent using langchain and OpenAI, including examples of sending emails and generating responses based on queries. The process involves defining tools, creating agents, setting up workflows, and executing tasks, with a focus on flexibility and extensibility.

  15. 15
    Article
    Avatar of watercoolerWatercooler·2y

    ChatGPT got our backs 😂

    ChatGPT is a language model that can be used for various purposes but has limitations.

  16. 16
    Article
    Avatar of devtoDEV·1y

    Llama 3.3 vs OpenAI O1

    Llama 3.3 and OpenAI O1 are two advanced AI models offering enhanced reasoning, scalability, and versatile applications. Llama 3.3 stands out with its open-source flexibility and cost-effective solution, while OpenAI O1 offers a user-friendly API and robust security. Apidog is recommended for integrating these AI models, simplifying API development with its intuitive interface.

  17. 17
    Video
    Avatar of TechWithTimTech With Tim·2y

    5 Python AI Project Ideas & HOW To Build Them

    Discover five Python projects that guide you from easy to complex AI implementations. The projects include sentiment analysis, image classification, voice assistants, recommendation systems, and AI agents. Each project comes with recommended libraries and code samples, making them excellent for users looking to enhance their Python and AI skills.

  18. 18
    Article
    Avatar of collectionsCollections·2y

    Build and Deploy an AI-Powered Email SaaS with Next.js 14, Prisma, OpenAI, Stripe, and Tailwind CSS

    Learn to build and deploy an AI-powered email client using Next.js 14, Prisma, OpenAI, Stripe, TypeScript, and Tailwind CSS. This comprehensive guide covers setting up the project, database management with Prisma, AI integration for email responses, payment processing with Stripe, styling with Tailwind CSS, and deploying to Vercel. Perfect for developers looking to create and monetize a sophisticated SaaS product.

  19. 19
    Article
    Avatar of communityCommunity Picks·2y

    Building an AI-powered quiz application with Next.js and OpenAI

    Learn how to build an AI-powered quiz application using Next.js and OpenAI. The tutorial covers creating a dynamic quiz interface, leveraging OpenAI to generate questions, managing user score, and best practices for integrating AI features. Additionally, it introduces Latitude AI, a platform for developing AI applications, and guides you through setting up the project, from creating a new Next.js app to deploying AI-powered features.

  20. 20
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Build an AI Chatbot with Spring AI, React, and Docker

    Learn how to build a chatbot application using Spring Boot, React, and Docker. This guide walks you through creating a backend REST API with Spring AI for handling chat messages, generating a chatbot UI with React, and Dockerizing the entire application for easy deployment. The complete source code is available on GitHub for hands-on experimentation.

  21. 21
    Article
    Avatar of gopenaiGoPenAI·2y

    OpenAI Basics in Python

    Learn the basics of using the OpenAI API with Python by setting up a virtual environment, creating an OpenAI account, and using Jupyter notebooks. The guide covers tasks such as grammar correction, translating text to emojis, code explanation, and image analysis using the GPT model.

  22. 22
    Article
    Avatar of meilisearchMeilisearch·2y

    How to add AI-powered search to a React app

    Learn how to build an AI-powered movie search and recommendation app using Meilisearch and OpenAI's embedding model. This guide covers setting up Meilisearch, configuring an AI-powered search, and creating a React frontend. Additionally, it includes steps to enhance the app with AI-driven movie recommendations. Prerequisites include Node.js, npm, Meilisearch, and an OpenAI API key.

  23. 23
    Video
    Avatar of communityCommunity Picks·2y

    Guide to Using the Llama AI API

  24. 24
    Article
    Avatar of communityCommunity Picks·2y

    ai-boost/Awesome-GPTs: Curated list of awesome GPTs 👍.

    This post introduces AwesomeGPTs, a specialized GPT model that recommends other GPT models based on user queries. It also highlights the opportunity for users to have their GPT models featured and provides a link to the live demo.

  25. 25
    Article
    Avatar of communityCommunity Picks·2y

    raznem/parsera: Lightweight library for scraping web-sites with LLMs

    Parsera is a lightweight Python library designed for scraping websites using large language models (LLMs). It is easy to set up with minimal token use, boosting speed and reducing costs. Users can configure it to use models from OpenAI or Azure, and it includes asynchronous support. The library can extract specified elements from web pages and return the results in JSON format.