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.

OpenAI GPT-4

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 dateMarch 14, 2023
TypeAutoregressive, Transformer, Language model


A curated list of libraries and technologies to help you build great projects with GPT-3.

  • Research Paper Open AI's GPT-4 research paper
  • Product Page GPT-4 Product description page
  • Playground Quickly create and test your GPT-4 app ideas. You need to choose Mode: 'Chat' to be able to use GPT-4

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.

Exam Pro GPT

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.

Data Science Agent

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.