OpenAI AI technology page Top Builders

Explore the top contributors showcasing the highest number of OpenAI AI technology page app submissions within our community.

OpenAI

OpenAI OpenAI is an American artificial intelligence (AI) research laboratory, with the declared intention of promoting and developing a friendly AI. Their main goal is creating safe AGI that benefits all of humanity. Among their products you can find: GPT-4, DALL-E, OpenAI Five, ChatGPT, OpenAI Codex.

General
Company	OpenAI
Founded	December 11, 2015
Repository	https://github.com/openai/
Discord	Join the OpenAI channel on Discord

Start building with OpenAI’s products

OpenAI has an amazing potential and extraordinary usage potential - we all saw the internet flooded with showcases of ChatGPT usage. Recently they introduced ChatGPT plugins. You can incorporate OpenAI’s technology into many of your app ideas and it will solve many of the problems you faced perfectly. To get inspired, see many apps created with ChatGPT, Whisper and more during lablab.ai Hackathons!

GPT-3

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

You can easily use GPT-3 for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI GPT-3 tech page.

ChatGPT (gpt-3.5-turbo)

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input.

You can easily use ChatGPT for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI ChatGPT tech page.

GPT-4

GPT-4 is OpenAI's 4th generation Generative Pre-trained Transformer. It is a multimodal large language model that uses deep learning to produce human-like text, accepting image and text inputs. GPT-4 is OpenAI's most advanced system, producing safer and more useful responses

You can easily use GPT-4 for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI GPT-4 tech page.

Whisper

Whisper operates by recognizing words from web-sourced data collected from 680,000 hours of multilingual and multitask training. With this, English speech recognition can be made more robust and accurate to reach the level of human performance. Technical language, accents, and background noise are not a problem for Whisper.

You can easily use Whisper for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI Whisper tech page.

DALL-E 2

Dalle-e uses deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts".

You can easily use DALL-E 2 for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI DALL-E tech page.

Codex

OpenAI Codex is an artificial intelligence system that enables developers to translate natural language into code & much more

You can easily use OpenAI CODEX for your app, and all necessary APIs, boilerplates, tutorials explaining how to do so and more, you can find on our OpenAI Codex tech page.

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OpenAI AI technology page Hackathon projects

Discover innovative solutions crafted with OpenAI AI technology page, developed by our community members during our engaging hackathons.

Edulance-AI

Edulance is an open-source project that utilizes advanced technologies such as Unstructured, machine learning models, and APIs to transform text documents and PDFs into interactive educational resources. The software accepts user-uploaded files, applies optical character recognition (OCR) for text documents, or extracts valuable content from PDFs. It then generates lessons, quizzes, and lesson plans based on the content using its Lesson Graph model and agents like LessonGenerator, LessonPlanner, OCRAgent, PdfAgent, QuizAgent, and TogetherLLM. Edulance provides an immersive learning experience, enabling effective teaching and interactive knowledge acquisition. Overall this project incorporates the following: TogetherAI's LLM Models Unstructured Partition pdf for making PDFs LLM Ready Agentic AI with state management. Features Feature Description ⚙️ Architecture Edulance is a Python-based project using FastAPI as the web framework and Uvicorn for runtime serving. The application leverages containers with Docker for deployment, installing required dependencies from requirements.txt. It utilizes libraries like LangChain, PikePDF, PyTesseract for OCR, and TogetherAI's LLM models. 🔩 Code Quality The codebase follows a modular structure with clearly defined agents and graph files, ensuring high cohesion and low coupling. Python style guides are followed consistently, including PEP8 and PEP534. There is adequate usage of comments throughout the codebase.🔌 Integrations Key integrations include Docker for deployment, LangChain libraries, TogetherAI's LLM models, Vectara for Chat. 🧩 Modularity 📦 Dependencies Main dependencies include FastAPI, Docker, Python 3.10, requirements.txt, LangChain package, PikePDF, PyTesseract, and related tools.

MaterialSupport

The onset of the 5G era signifies a profound shift in telecommunications, heightening the necessity for components capable of handling high-speed signals with minimal attenuation. One significant challenge lies in the inadequacy of the length and material of measurement probes within AP chips, HPC, and automotive technology to meet the surging demand. Our innovative approach addresses this challenge by reducing probe lengths and enhancing electrical specifications. Targeting the probe card industry, where probes play a pivotal role, our solution distinguishes itself through the integration of an automated system to identify key alloy characteristics valued by customers, thus aligning with market demands. This not only ensures compliance with 5G requirements but also augments probe durability and performance. The distinctive advantages of our approach encompass heightened measurement accuracy, minimized signal degradation, and prolonged probe lifespan, collectively generating significant value for manufacturers. Furthermore, through thorough analysis of current trends, we have identified opportunities for collaboration with material suppliers. Such partnerships have the potential to drive the development of novel, superior materials, thereby expanding the commercial viability of our probes into broader markets. This positions us at the vanguard of innovation in the probe card industry, poised to meet the challenges of the 5G future.

PleadSmart

Our project is designed to empower lawyers by revolutionizing the process of legal research and case preparation. By harnessing the capabilities of a sophisticated legal language model (LLM), our tool aims to streamline the tedious task of finding relevant precedents. It does so by intelligently fetching similar cases and highlighting parallels, thereby assisting lawyers in constructing a robust and logically coherent argument for their cases. This innovative approach not only saves valuable time but also enhances the effectiveness of legal strategies, ensuring lawyers have a formidable foundation for every case they undertake.

Wisdom Hoard

Wisdom Hoard is an universal bookmarking tool. It will be your personal knowledge vault powered by a friendly Discord bot. Simply share the links to your favorite content with Wisdom Hoard, and it will not only save them for easy access but you can also chat with them to get the summaries from all your saved posts based on the topic of interest. What you can do with Wisdom Hoard? 1. Save your bookmarks: You can save insightful content from Twitter, Linkedin, Reddit, and more with a text messages. 2. Intelligent Search: You can search your saved content by topic or keyword to find exactly what you need. 3. Al-powered Insights: You can get Wisdom Hoard to analyze your saved content and provide summaries or answer specific questions based on the information.

BetterHealthAI

Better Health AI is a research initiative in the health care domain that explores and recommends Alternative Payment Model (APM) and Value Based Care (VBC) models. These models ties the payment to quality of health outcome while trying to reduce cost of care. There have been many care delivery and payment models attempted at state and federal level targeting various diseases, prevention, safety, infection, and other areas of health. The result has been mixed and some are undetermined. There have been many studies and reports have been published. This project attempts to scour the internet for different studies, published article and summarize the findings for recommendation. Users of this system can ask questions on various aspects of implementing such a model at state, community, local or federal level for better patient experience.

SecureSpeak

SecureSpeak Enterprise emerges as a cutting-edge solution in the realm of secure digital communication, catering to the pressing need for privacy and data integrity in business interactions. At its foundation lies a sophisticated self-deployed language model, designed to scrutinize user inputs instantaneously, censoring any sensitive information with a blend of pre-configured rules and insights gleaned from historical data. This ensures that every piece of information is treated with the utmost confidentiality right from the start. SecureSpeak employs an innovative dual-storage system. This system archives both the original and the censored versions of inputs within SQL and vector databases, facilitating not only robust data management but also seamless retrieval and analysis. This strategic approach to data storage preserves the context and meaning of information, all while upholding stringent confidentiality standards. Central to SecureSpeak’s functionality is its use of Retrieval-Augmented Generation (RAG), powered by Vectara. This mechanism enriches the platform's responses with semantically related content from an extensive corporate database, alongside the capability to perform on-demand, context-specific queries. This not only enhances the relevance and accuracy of the responses but also ensures they remain within the bounds of privacy regulations. The SecureSpeak journey extends beyond immediate data processing to include the active refinement and application of collected insights. This process serves to enhance the overall user experience significantly, turning raw data into a strategic asset. Additionally, the system's language model is subject to ongoing fine-tuning, learning continuously from processed data to elevate its performance in censoring and generating responses. Through these meticulously designed features and processes, SecureSpeak Enterprise sets a new standard in secure, intelligent, and privacy-conscious digital communication.