OpenAI GPT-3.5 AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI GPT-3.5 AI technology app submissions within our community.

OpenAI GPT-3.5

GPT-3.5 is a set of models that improve on GPT-3 and can understand as well as generate natural language or code. It is an autoregressive language model (LLM) from OpenAI that uses deep learning to produce human-like text. It is a fine-tuned version of GPT-3, the third-generation language prediction model in the GPT series created by OpenAI. GPT-3.5 has garnered significant attention and acclaim for its unparalleled ability to understand and generate human-like text. With an astounding 175 billion parameters at its disposal, GPT-3.5 stands as one of the most expansive and powerful language models ever constructed at the time of its release.

GPT-3.5's exceptional performance is not only limited to its sheer size but also stems from its highly refined architecture. Harnessing the power of deep learning, GPT-3.5 delivers consistently accurate and relevant results, elevating the standard for language models and establishing itself as a trailblazer in the field of artificial intelligence.

General
Relese date	March 15, 2022
Author	OpenAI
Type	Autoregressive, Transformer, Language model

Start building with OpenAI GPT-3.5

OpenAI GPT-3 has a rich ecosystem of libraries and resources to help you get started. We have collected the best GPT-3.5 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.

OpenAI GPT-3.5 Tutorials

Chroma Tutorial: How to give GPT-3.5 chatbot memory-like capability

👉 Discover more GPT-3.5 Tutorials on lablab.ai

OpenAI GPT-3.5 Boilerplates

Kickstart your development with a GPT-3.5 based boilerplate. Boilerplates is a great way to headstart when building your next project with GPT-3.

OpenAI GPT-3.5 Libraries

A curated list of libraries and technologies to help you build great projects with GPT-3.5.

Edit on Github

OpenAI GPT-3.5 AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI GPT-3.5 AI technology, developed by our community members during our engaging hackathons.

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.

QuizMasterVectara

This project explores the development of an AI-based quiz generation system using GPT-3.5 and Vectara to foster personalized and adaptive learning experience. Our methodology involved sourcing relevant structured dataset, data pre-processing, embeddings generation, vector database storage, hybrid-search retrieval, LLM feed, prompt engineering, and context-based response. The primary challenge addressed is the insufficient customization in quiz generation and overcoming the challenge of generating precise and contextually relevant quiz questions that minimize the risk of LLM generating incorrect or misleading information (hallucinations). We also have included an option for the user to upload their preferred document and let the app generate quiz. As the users answer the questions, the LLM will generate further questions adapting the difficulty level. The hallucination levels are found to be really low as per Vectara in-built evaluations. This is designed for interactive AI based user learning and is scalable to different arenas like education, online learning, and employee trainings.

AmiMind

Alzheimer's patients often experience profound feelings of disconnection and loss as their memories fade away, leading to heightened levels of confusion, anxiety, and isolation. AmiMind 🧠✅ is a revolutionary platform tailored for Alzheimer's patients, addressing the challenges of memory loss and cognitive decline. Individuals with Alzheimer's often struggle to recall cherished memories, leading to feelings of isolation and frustration. Our solution empowers them to reclaim their memories by uploading a PDF🚀 document containing their life's moments. Leveraging RAG AI 🛠️ technology, AmiMind extracts and organizes this information, creating personalized reminiscence reminders. These reminders, delivered at intervals, prompt users to revisit significant events, fostering a sense of connection and emotional well-being. By harnessing the power of AI and personalization, AmiMind offers an efficient and compassionate approach to memory support ✅. RAG AI analyzes uploaded PDFs, extracting and organizing memories for personalized reminiscence reminders. This AI-driven approach enables tailored support, prompting users to revisit significant life events at intervals, fostering emotional well-being❤️. We conclude that, AmiMind offers a lifeline to Alzheimer's patients, providing personalized reminiscence reminders that help preserve their sense of self, foster emotional connection, and enhance overall well-being.

ParkinsonGPT

The RAG chatbot "ParkinsonGPT" is the brainchild of Mohit Kothari, its creator. The chatbot has been designed to cater to individuals who require assistance in managing Parkinson's disease, a chronic disorder that affects the nervous system. The development of the chatbot is aimed at providing patients with access to reliable and timely information, assisting them in managing their condition and improving their quality of life. The chatbot operates seamlessly and efficiently, providing patients with a reliable source of information and support. The chatbot is an innovative and valuable tool that can be used to improve the lives of individuals living with Parkinson's disease and their caregivers.

ECOFACTOR - Smart Manufacturing Solutions

EcoFactor is transforming the manufacturing industry by leveraging advanced AI technology to enhance sustainability and efficiency. Our platform guides manufacturers in choosing eco-friendly materials and processes, optimizing product development while ensuring compliance with ESG standards. EcoFactor's AI-driven solution seamlessly integrates into existing manufacturing workflows, providing real-time recommendations that help reduce waste and improve profitability without compromising quality. By empowering businesses to adopt sustainable practices, EcoFactor not only meets the increasing demand for environmentally responsible products but also gives manufacturers a competitive edge in the global market.

AIBlue Ultra

AI Blue is a sophisticated chatbot powered by a multi-headed AI approach, designed by AI Tensibility of the Siam Intelligence Unit. This innovative structure allows different AI models to analyze input data concurrently, with each model focusing on its area of expertise. The outputs from these models are then routed through a central "router" model, which intelligently integrates these insights based on predefined weights and contextual understanding. This dynamic system ensures that AI Blue's responses are not only comprehensive but also reflect a deeper level of analysis and insight. Enhanced by Retrieval-Augmented Generation (RAG), AI Blue can access and incorporate the most current information into discussions, ensuring its knowledge base is always up-to-date. It's not just about processing data; it's about understanding, learning, and adapting to provide the most accurate and relevant information possible.