OpenAI Custom GPTs AI technology Top Builders

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

Custom GPTs: Redefining AI Customization

Custom GPTs redefine your ChatGPT experience, enabling the creation of personalized AI models tailored to specific tasks. Whether you strive to optimize your project management workflows, simplify complex legal jargon, or generate captivating marketing copy, Custom GPTs offer a versatile solution to meet your needs.

General
Release dateNovember 6, 2023
AuthorOpenAI
TypeCustomizable AI model

Custom GPTs redefine ChatGPT's capabilities, enabling tailored AI models that seamlessly integrate external data sources, catering to personal, corporate, or public requirements without coding skills.

Key Features

  • Tailored Solutions: Customize AI models for various needs.
  • Real-World Integration: Seamlessly incorporate external data sources.
  • Simplified Creation: Build AI models without coding knowledge.

For more details and updates, refer to the OpenAI Blog - Introducing GPTs and explore diverse Use Cases demonstrating the potential of Custom GPTs.

GPTs Tutorials

    ๐Ÿ‘‰ Discover more Custom GPTs Tutorials on lablab.ai


    OpenAI Custom GPTs AI technology Hackathon projects

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

    Navigating the Infinite Plane

    Navigating the Infinite Plane

    QuantumAI is addressing the challenge of navigating multi-dimensional space. In this hackathon, we demonstrate the operational infinite 2D Canvas by creating two helper applications: a Custom Abjad GPT prompt creator and a large number tokenizer. Project Overview Custom Abjad GPT Prompt Creator: Compresses and optimizes prompts for efficient processing and prepares them for tokenization. Large Number Tokenizer: Converts prompts into base 50257 numerical representations and projects them onto the 2D canvas. Key Features and Benefits Enhanced Data Visualization: Provides a boundless platform for visualizing large, complex datasets, facilitating deeper insights and analysis. Efficient Processing: Streamlined prompt creation and numerical conversion reduce computational load, enhancing AI model performance. Interactive Navigation: Rapid scrolling on the 2D canvas enables quick access to solutions and knowledge, enhancing user productivity. Scalability: Adaptable to various industries and data types, offering a flexible platform for diverse applications. Future Enhancements: Planned LLM integration will enable efficient parsing and retrieval of knowledge from the 2D infinite plane. Competitive Advantage Innovation: Leverages advanced AI and visualization techniques to position QuantumAI as a market leader. Cost Savings: Automation and optimization lead to reduced development time and resources, improving overall efficiency. Conclusion QuantumAIโ€™s innovative approach with the infinite 2D canvas and specialized applications significantly enhances data visualization and processing. These solutions improve efficiency, scalability, and competitive advantage, ensuring rapid access to solutions and knowledge. Future integration of an LLM will further enhance the system's capabilities, making QuantumAI's offerings even more powerful and valuable.

    Power Builder Prompt Scoring Engine

    Power Builder Prompt Scoring Engine

    The development of a Prompt Scoring Engine aims to enhance the output quality of Large Language Models (LLMs) and improve user experience. This engine evaluates and scores prompts based on various criteria to optimize the responses generated by LLMs. The implementation of this technology addresses key issues related to the effectiveness of AI models, the clarity of project presentations, business value, and originality. The project began with an extensive research phase, focusing on methods to evaluate prompts and develop criteria for their assessment. A rubric was created to score prompts from 1 (worst) to 7 (best). Following this, a configuration file for a custom GPT model was developed, which utilized the rubric to evaluate prompts and their inputs. This configuration provided a structured approach to identify areas for improvement and generate requirements for enhancing prompt quality. The core implementation involved creating a scoring engine that interacts with users by prompting them to input their original prompts and resulting outputs. The engine evaluates these inputs, scores them based on the established rubric, and suggests improvements. Users are then given the opportunity to try the new, optimized prompts and evaluate the results, creating a continuous feedback loop that refines the prompt quality over time. The Prompt Scoring Engine offers significant benefits, including enhanced output quality through advanced natural language processing techniques, improved user experience with more relevant and coherent responses, and a transparent, objective evaluation framework. Additionally, it serves as an educational tool, helping users understand and craft better prompts. This strategic initiative not only addresses critical issues in AI model effectiveness but also drives innovation and growth in the AI market by ensuring high-quality, original, and clear outputs.