OpenAI ChatGPT AI technology Top Builders

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

OpenAI ChatGPT

The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

General
Relese date	November 30, 2022
Author	OpenAI
API Documentation	ChatGPT API
Type	Autoregressive, Transformer, Language model

Start building with ChatGPT

GPT-3 have a rich ecosystem of libraries and resources to help you get started. We have collected the best GPT-3 libraries and resources to help you get started to build with GPT-3 today. To see what others are building with GPT-3, check out the community built GPT-3 Use Cases and Applications.

👉 Discover more ChatGPT Tutorials on lablab.ai

ChatGPT Links

All important links about ChatGPT in one place

ChatGPT Website Try ChatGPT for yourself. Chat with ChatGPT in your browser.
ChatGPT Blog Post Read the blog post about ChatGPT. Learn more about the model and how it works.
ChatGPT Frequently Asked Questions Read the frequently asked questions about ChatGPT.

ChatGPT Boilerplates

Boilerplates to help you get started" id="boilerplates

GPT-3.5-Turbo Chatbot with cost management A Python-based boilerplate for using OpenAI's GPT-3.5-turbo and GPT-4 model to create a chatbot. This chatbot utilizes the OpenAI API and Tiktoken library to manage tokens and costs.
JS ChatGPT Clone with DALL.E Image Generation A ChatGPT clone using OpenAI's API, DALL-E image generation and Firebase. Built with Node.js, Express, and React.

ChatGPT API libraries and connectors

The ChatGPT API endpoint provides a convenient way to incorporate advanced language understanding into your applications.

ChatGPT API ChatGPT API reference
OpenAI Node.js API library for ChatGPT The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications.
OpenAI Python Library for ChatGPT The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language

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OpenAI ChatGPT AI technology Hackathon projects

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

Triage AI

A ton of doctor visits could have been a phone call. This costs up to $101 billion yearly just in the US. Utilizing open symptom data and Langflow - Triage AI seeks to eliminate most parts of these low-value meetings. Additionally it seeks to help patients understand their symptoms and diseases more. For better care - for all of us. --- However, this didn't quite go as planned for me - as Langflow was unavailable for the entire project except for the final 2-3 hours, and the end still had critical errors that made it simply not function with the RAG I had set up. Still a fun experience!

SOS-AI An AI Agent to Help Prevent Online Scams

Our project, SOS.ai, aims to significantly reduce the response time for users facing scam calls and improve the Net Promoter Score (NPS). The solution targets scenarios such as the FedEx scam, where scammers impersonate FedEx employees and claim that a parcel containing illegal drugs, allegedly sent by the victim, needs to be reported. When the victim denies sending any parcel, the scammers instruct them to contact police officials, who are also part of the scam. These fake officials then convince the victim to transfer money, claiming their bank account is insecure and promising to return the money within 30 minutes. Once the victim agrees and shares their details, the scammers disappear. In India alone, the FedEx scam has resulted in a loss of ₹120 Crores. Our hypothesis is that timely awareness and intervention could prevent many such incidents. SOS.ai aims to provide immediate assistance and awareness, potentially saving victims from falling prey to these scams and reducing financial losses.

Interview Builder

Interview Builder revolutionizes career preparation and document customization. Using the LangFlow interface, it analyzes job advertisements against user resumes to create job summaries, resume rubrics, personalized interview training programs, updated resumes, and tailored cover letters. This tool aims to streamline the job application process with strategic, personalized AI guidance. Features: Job Ad Summarization: Function: Extracts key information and requirements from job ads. Benefit: Provides concise summaries to help users quickly understand roles and identify critical skills. Resume Creation and Updating: Function: Compares resumes to job descriptions to identify strengths and improvements. Benefit: Suggests modifications to align skills with job requirements, enhancing resume relevance. Interview Training Programs: Function: Designs personalized training programs with practice questions and tips. Benefit: Helps users prepare effectively and boost interview confidence. Cover Letter Creation: Function: Assists in crafting tailored cover letters that highlight qualifications. Benefit: Ensures alignment with job descriptions and strengthens candidacy. Business Benefits: Efficiency: Saves time by providing concise job summaries and tailored documents. Personalization: Offers guidance to create standout applications. Preparedness: Equips users with strategies for successful interviews. Conclusion: Interview Builder enhances the job application process by providing strategic, personalized advice. It saves time and significantly increases the chances of securing job offers. Participants in the hackathon will contribute to a project with the potential to impact job seekers' success rates in a competitive market.

designed

What should I wear? Which color brings up my beauty? I wish I had a fashion designer in my closet How many times did we struggle with our appearance, how many times did we fail to achieve our true potentials due to our lack of confidence in what we're wearing, how many times we bought the wrong clothes online because we couldn't try it on person, I wish to design An AI tool that helps everyone to feel comfortable in their own body and confidence in their appearance by choosing the best outfits that suits them also the right colors to their skin tone that bring up their true beauty, an AI that will create an exact model of the consumers by entering their whole measures and their profile picture, then it will give them an endless choices of great outfits that suits them the most and show them how the outfit would look like on their unique body, also tell them which outfit to wear in which occasion This app will allow you to try multiple clothes and choose your outfit for the day without going on your closet You can even try clothes at the store without going in the fitting room by scanning the code of pieces you like into your app and see it on your own avatar you could also scan your avatar into the store's mirror and you will have a life size avatar of yourself trying out clothes without wearing it

SensoGPT

SensoGPT is an innovative solution that integrates ChatGPT with AI-based remote sensing models to automate complex interpretation tasks. By understanding user requests and performing precise task planning, it executes subtasks iteratively to generate comprehensive results. This system leverages visual cues and advanced language models to enhance image understanding and supports various tasks like scene classification, object detection, and image captioning. Designed for non-experts and researchers, it democratizes access to remote sensing technology, aiding in environmental monitoring, disaster response, urban planning, and agriculture. With high accuracy and extensibility, SensoGPT revolutionizes remote sensing, making it more accessible and efficient for a broader audience.

Volund

1. Optimised Prompt based on User's reuirement with simplicity and precision. User are asked to fill the answer based on the default questions like goals , interest and challenges faced, based on the mentioned criteria. Solution: It will be a prompt that gets generated along with the solution that is provided based on the tailored prompt. 2. In built AI application for Brainstorming - The AI will directly interact based on the prompt, it will be more refined and video link is also added. 3. Providing additional features like youtube links that are related to the topic of discussion - For every prompt answered, there will be a youtube link. Why you ask? We understood the Customer pain point where we felt that for certain propts for example: cooking having a video along with the videos would really help the customers to work on this with ease and confidence. 4. How does this bring value as a product and business: a) As a product - To provide an assistance for any kind of AI tools: as AI is available, but the instructions required to prompt the AI is not available. This is where Volund comes in. Avoiding reprtition prompts and instructions saving time and effort with additional links always helps in providing a good experience. b) As a business - We are able to include a large number of potential users that have not been included and building AI.With a growing market in AI, the dependency on right prompt with becomes very important to understand the intention of the user who is looking for solutions.