OpenAI GPT-4 AI technology Top Builders
Explore the top contributors showcasing the highest number of OpenAI GPT-4 AI technology app submissions within our community.
GPT-4 is an OpenAI's 4th generation Generative Pre-trained Transformer, a successor of ChatGPT. It is a multimodal large language model that uses deep learning to generate human-like text and it can accept image and text as inputs. GPT-4 is OpenAI's most advanced system, producing safer and more useful responses, it hallucinates less than previous models and is a major step forward. There are two versions with context windows of 8192 and 32768 tokens, which is a significant improvement over GPT-3.5 and GPT-3. OpenAI introduced the concept of "system message" that can be given to chat-optimized versions of GPT-4 in order to set the tone and task of the response.
|Relese date||March 14, 2023|
|Type||Autoregressive, Transformer, Language model|
A curated list of libraries and technologies to help you build great projects with GPT-3.
OpenAI GPT-4 AI technology Hackathon projects
Discover innovative solutions crafted with OpenAI GPT-4 AI technology, developed by our community members during our engaging hackathons.
Eco Mentor is a groundbreaking AI-powered platform focused on environmental education and sustainability. Aimed at fostering a deeper understanding of ecological concerns and promoting sustainable practices, the platform caters to individuals eager to make environmentally conscious choices. The core problem addressed is the gap in accessible, personalized environmental education and community involvement in sustainability initiatives. Eco Mentor offers a solution by integrating AI to deliver customized learning experiences, connecting users with local eco-friendly projects, and providing interactive challenges and tools for eco-conscious living. Unique features include a real-time impact visualization of users' eco-actions, a forum for sharing experiences, and AI assistance for eco-friendly shopping. The platform targets environmentally conscious individuals, educators, and students, making sustainability an engaging, collaborative journey.
Exam Pro GPT
Exam Pro GPT is a specialized AI designed to support O Level Physics (5054) syllabus mastery. It's a complete educational resource, encompassing the full syllabus, learner guides, example responses, notes, and past papers with marking schemes and examiner reports from 2019-2022. This GPT addresses key student challenges by structuring answers to align with marking schemes and dissecting complex mathematical elements in physics, enhancing problem-solving and conceptual understanding. Its capabilities extend to guiding users through step-by-step solutions, ensuring not just accuracy but also comprehension of physics laws and mathematical applications. As a study companion, Exam Pro GPT provides personalized, credible resource recommendations, bolstering study efficiency. This AI goes beyond traditional study aids. It acts as an interactive tool that provides real-time feedback, allowing students to submit questions and receive detailed explanations. This instant feedback loop is pivotal in refining exam strategies, evaluating answers, and understanding areas for improvement. With mobile responsiveness, Exam Pro GPT supports on-the-go learning, enabling students to snap pictures of their work for immediate assistance, mirroring a personalized tutoring experience. It's particularly adept at preparing students for exams by simulating real-world problems, offering insights into the physics questions, and fostering a deeper engagement with the subject matter. Incorporating Exam Pro GPT into study routines promises a more tailored learning approach, equipping students with the tools to tackle the O Level Physics curriculum effectively. It's set to transform how students prepare for exams, instilling confidence and aiming for excellence in their academic pursuits. With 2000 characters of finely-tuned functionality, it stands as a beacon for educational advancement in physics.
GPT4V hierarchical data extraction
Information is hierarchical in nature. Humans naturally see the world in terms of objects, made of objects, made of objects, but ML algorithms do not operate like that, and it is difficult for them to properly recognize objects, especially in a complex scene. GPT4V changes all that and can produce an exhaustive list of beliefs about the objects in an image, their relationship, but also the objective and conditions in which such relationship happens. E.g. a woman uses sunglasses to protect her eyes in bright daylight. GPT4 is then used to extract accurate fields of information from GPT4V-produced beliefs, such as the subject, object, action, objective and condition in which such action takes place. The results are quite impressive. The information is then sent to Neo4J to visualize it as a knowledge graph.
The AEyes glasses are a revolutionary assistive device designed for blind and visually impaired individuals. These smart glasses are equipped with advanced technology that captures and interprets visual information from the environment. With built-in cameras, AEyes analyze the surroundings and use artificial intelligence to describe the scene to the wearer through integrated speakers. This real-time auditory feedback allows users to gain a better understanding of their surroundings, aiding in navigation and awareness of obstacles, people, and other important details in their immediate vicinity.
Instagram Computer Vision
Instagram Computer Vision is a groundbreaking application designed to revolutionize the way we interact with social media content. At its core, this app allows users to select an Instagram account of their choice. Once an account is defined, the app automatically downloads the latest video posted by that account. What sets this app apart is its integration with GPT-4 Vision, a cutting-edge AI technology. This AI analyzes the downloaded video, interpreting and understanding its content at a deep level. Whether it's a bustling cityscape, a serene nature scene, or a dynamic sports event, GPT-4 Vision can accurately describe the visuals and context of the video. After the analysis, the app generates a detailed, vivid narration of the video. This narration is not just a bland description; it's a storytelling experience that brings the video to life through words. This feature is particularly beneficial for those who prefer audio content or for visually impaired users, making Instagram's visual content more accessible and inclusive. Instagram Computer Vision stands out as a tool for content creators, marketers, and general users alike, offering a new way to experience Instagram videos. It's not just an app; it's a new lens through which to view and understand the dynamic world of social media.
Data Science Agent
Problem: Many fundamental data science tasks, such as predicting sales, prices, machine failures, and fraud, often involve relatively simple machine learning models. The potential for automation in these areas is substantial, allowing for the creation of AI-driven solutions that can expedite the development process. ETL (Extract, Transform, Load) pipelines can also be automated using generic templates. Countless hours are typically spent on writing prototype code for even the most basic tasks can be saved. Also, companies need to build a team of ML engineers, analysts, and data scientists before they can start making data-driven decisions which greatly hinders their progress in their initial years. Solution: The assistant automates labour-intensive data preprocessing and modelling, making it accessible to a broader audience. Its unique features save time, ensure consistency, and elevate the quality of data analysis and decision-making processes. It can be used as an assistant by people having laymen knowledge of machine learning or data analysis to solve end-to-end ML tasks like classification and regression. Unique Features: 1. Complex dataset and tasks: It can handle complex datasets with multiple columns with various datatypes for tasks such as regression and classification and can solve these tasks in an end-to-end manner. 2. Data preprocessing: It takes charge of essential ETL processes, encompassing data loading, missing value handling, redundancy removal, and preprocessing, including scaling, one-hot encoding, and converting categorical data to numerical formats. 3. Feature Engineering: It also has the capacity to engineer new features through diverse transformations. 4. Model training: The assistant can train multiple models and identify the optimal one on its own. Following model training, it engages in hyperparameter tuning to enhance performance.