Hacker News·2yUsing 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.
Tech With Tim·2yBuild 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.
Web Dev Cody·2yThis 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.
freeCodeCamp·2yHow 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.
Meilisearch·2yHow 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.
Towards Data Science·2yBuild Your Agents from Scratch
Explore the process of creating a custom AI agent from scratch without using any framework. Learn the key components for building an agent, including initialization, code generation, library management, code execution, and a command center to manage these functions. Gain foundational knowledge on setting up an AI agent's 'brain' using OpenAI API, coding capabilities, and executing the generated code.
This Dot·2yHow to build an AI assistant with OpenAI, Vercel AI SDK, and Ollama with Next.js
Build a voice-activated AI Assistant using Next.js, OpenAI's Whisper and TTS models, and Meta’s Llama 3.1 through the Vercel AI SDK and Ollama. The AI Assistant records audio, transcribes it to text, generates a response using the Llama model, converts the response to speech, and streams the audio back to the client. The setup involves configuring environmental variables, creating components for audio recording, setting up server-side routes for AI model interactions, and implementing client-side logic to handle the audio processing workflow.
Planet Python·2yBuild a AI-powered desktop Translator with Python & Tkinter
Learn how to build a desktop translator application using Python, Tkinter, and OpenAI's ChatGPT APIs. The tutorial walks through setting up a Python virtual environment, creating the UI with Tkinter, and implementing language translation using the OpenAI API. Key elements include using Tkinter to design the GUI, creating scrollable text areas and combo boxes for input, and handling translation functionality with the OpenAI client.
Community Picks·2yOpenAI is now ClosedAI
OpenAI, initially founded to democratize AI and ensure its safe and equitable use, is reportedly transitioning to a for-profit model with Sam Altman taking a substantial share of $10.5 billion. This shift raises questions about the company's commitment to its original pillars of safety, accessibility, and openness. Critics argue that this move undermines the trust and principles that initially garnered support from competitors, researchers, and lawmakers. The debate highlights broader issues within Silicon Valley about the balance between social good and profit.
Community Picks·2yMyzel394/zsh-copilot: How we all expected GitHub Copilot in the CLI to be. No `suggest` bullshit
Get true suggestions in your shell with zsh-copilot by pressing CTRL + Z. Install the plugin via GitHub, ensure you have an OPENAI API key with GPT-4 access, and expose it through an environment variable. For configurations, use the command zsh-copilot --help.
Collections·2yWhy OpenAI Switched from Next.js to Remix for ChatGPT
OpenAI transitioned their ChatGPT application from Next.js to Remix due to Remix's superior client-side rendering, efficient loader API, and performance enhancements from Vite. Remix also simplifies self-hosting and integrates well with modern tools like RSbuild, TypeScript 5.6, and HTMX 2.0, making it a more suitable framework for OpenAI's needs.
Hacker News·2yyigitkonur/swift-ocr-llm-powered-pdf-to-markdown: An open-source OCR API that leverages OpenAI's powerful language models with optimized performance techniques like parallel processing and batching to
An open-source OCR API uses OpenAI's GPT-4 Turbo with Vision model for enhanced text extraction from PDFs, supporting both direct upload and URLs. It incorporates performance optimizations like parallel processing, batch processing, and robust error handling. The system outputs extracted text in Markdown format, offering cost-effective and highly accurate document processing solutions.
Real Python·2yGenerate Images With DALL·E and the OpenAI API Quiz – Real Python
Test your understanding of generating images with DALL·E by OpenAI using Python through this interactive quiz. Covering topics such as making API calls, creating images from text prompts, and converting Base64 strings to PNGs, the quiz features 9 questions with no time limit. Aim for a perfect score of 100%.
Towards AI·2yWhy OpenAI’s o1 Model Is A Scam
OpenAI's o1 model claims to advance AI by making it think before responding, using the Chain of Thought (CoT) technique. However, the author argues that the model is mostly a repackaged marketing ploy, as CoT has been around for years. The post includes a Python implementation of CoT and discusses the potential benefits of OpenAI's reinforcement learning for better intermediate step performance. Readers are advised to critically evaluate such new features before committing financially.
Vaadin·2yUsing AI to summarize documents in Java
Learn how to summarize documents in Java using Apache Tika for parsing, Spring AI for leveraging OpenAI's language model, and Vaadin Flow for file uploads. The tutorial requires adding necessary dependencies, configuring the ChatClient, parsing the uploaded file, and finally summarizing the document content.
GoPenAI·2yRAG IX: Adaptive Retrieval
Adaptive Retrieval-Augmented Generation (RAG) systems improve information retrieval by tailoring strategies based on query types. By integrating language models (LLMs) into different stages of the retrieval process, these systems provide highly accurate, contextually relevant, and nuanced responses. Such systems handle a variety of queries, including factual, analytical, opinion-based, and contextual, thereby enhancing user experience across diverse information needs.
Community Picks·2yOpenAI Threatening to Ban Users for Asking Strawberry About Its Reasoning
OpenAI is threatening to ban users who try to uncover the reasoning process of its latest AI model, code-named 'Strawberry'. While Strawberry's 'chain-of-thought' reasoning was initially highlighted as a breakthrough, requests to see detailed reasoning have resulted in warnings for 'circumventing safeguards'. OpenAI argues this measure is needed for compliance with safety policies and maintaining competitive advantage, but critics claim it hampers transparency and interpretability of AI models.
Community Picks·2yKids-friendly project: Building your Chatbot Web Application using LLM
Create a chatbot web application tailored to your needs using LLM chatbots like ChatGPT. You'll set up a coding environment using tools like GitHub, VSCode, and Gitpod, and learn to create a React app from scratch. The guide walks you through setting up prerequisites, building the UI, integrating chatbot logic, and connecting to OpenAI. It also covers testing, debugging, and adding enhancements to make the chatbot more interactive and engaging.
Medium·2yAn Intuitive Introduction to Reinforcement Learning, Part I
An introductory guide to reinforcement learning using environments from the OpenAI Gymnasium Python package. It covers high-level concepts like Q-learning, Markov Decision Processes, state-value vs. action-value, and the balance between exploration and exploitation. Practical examples, such as navigating a frozen lake, are used to illustrate these concepts.
Hacker News·2ygetzep/graphiti: Build and query dynamic, temporally-aware Knowledge Graphs
Graphiti builds dynamic, temporally aware Knowledge Graphs that manage evolving relationships between entities over time. It supports the ingestion of both unstructured and structured data and offers hybrid search functionality combining semantic and full-text search. Designed for scalability, Graphiti can handle large datasets and is tailored for applications in sales, customer service, health, and finance. Essential requirements include Python 3.10+, Neo4j 5.21+, and an OpenAI API key for LLM inference and embedding.
GoPenAI·2yBuilding a Database-Driven Chatbot with LangChain and OpenAI: A Practical Approach (Part 4, Optimizing)
The fourth part of the series on building a SQL-based chatbot using LangChain and OpenAI focuses on optimization techniques. It introduces the use of SemanticSimilarityExampleSelector to dynamically choose relevant examples based on user input, thus reducing token usage and improving efficiency. The post provides a detailed guide on implementing dynamic selection of SQL examples and table details, enhancing the chatbot's contextual relevance and performance.