#GPT-3

Understand how ReAct can enhance reasoning and acting capabilities in AI language models, as detailed in the ICLR 2023 paper. Learn implementation methods with OpenAI's GPT-3 via LangChain's zero-shot ReAct Agent. Review experimental results on datasets such as HotpotQA and FEVER, highlighting the performance differences between PaLM and GPT-3. Setup requires API key configuration and installation of packages 'openai' and 'alfworld'. Gain insights and metrics for advancing AI model capabilities efficiently.

Data Installation Manager offers open data management akin to package management. It facilitates seamless data handling with features such as source URL storage, post-processing task execution, and automated data preparation via shared configurations. The tool supports open data search via CKAN, GPT-3-driven code generation for data processing, and diverse post-processing options including encoding and format conversion. Compatible with multiple operating systems, it also fosters a collaborative open-source community environment.

The application enables interaction with documents and websites through training a custom GPT on specific content. It supports uploading or defining web data to create OpenAI embeddings stored in Pinecone for similarity search. Compatible with formats like PDF, DOCX, MD, TXT, PNG, JPG, HTML, and JSON, with future support for CSV and PPTX formats. The interface offers real-time interaction with a Perplexity-style look, utilizing OpenAI's GPT-3 for precise, specific discussions.

Stanford's CRFM-HELM project presents a framework for evaluating language models, including datasets such as NaturalQuestions and models like GPT-3. It expands evaluations beyond accuracy to metrics such as efficiency and bias, assesses robustness through perturbations, and offers access through a modular API and proxy server. The project also explores vision-language and text-to-image model evaluations with reliable findings. Comprehensive documentation supports effortless installation and use by researchers assessing language models.

Delve into the pivotal AI breakthroughs of 2020 through an extensive compilation of key research papers. Gain insight into advancements such as ethical AI considerations, image creation, code translation, and video repair. Each entry in this curated list is enriched with video summaries, code examples, and detailed article links, offering a vital resource for both enthusiasts and professionals eager to track the evolution of AI.

OpenAI Translator is a versatile PWA using cutting-edge AI models like GPT-3.5 Turbo, GPT-4, and GPT-4o for efficient language translation, suitable for both desktop and mobile. Constructed with technologies like React 18, Vite 4, and Tailwind CSS, it ensures a user-friendly experience. The app offers straightforward setup using pnpm and Docker for development and deployment, making it useful for diverse users seeking improved translation solutions.

Explore an extensive library of over 140 curated prompts for OpenAI's GPT-3 API, designed to enhance productivity and versatility across multiple applications. This package supports integration with the unofficial NodeJS client for GPT-3, offering detailed installation guidance. Ideal for developers seeking flexible solutions for tasks such as translation, guidance, or advertising, this evolving project promises continuous updates with new and innovative tools sourced from the respected awesome-chatgpt-prompts collection.

Examine the collection of papers on parameter-efficient transfer learning aimed at computer vision and multimodal fields. The collection focuses on methods for efficiently adapting large-scale pre-trained models, minimizing overfitting risks and storage requirements associated with comprehensive fine-tuning. Utilizing insights from NLP, the papers enhance applications in image classification, prompt learning, and multimodal tasks. This project provides a thorough overview of advancements and methodologies in optimizing transfer learning across various computational landscapes.

Discover a wide range of Generative AI projects that produce innovative content in art, marketing, and academia. The repository includes advanced models creating photorealistic images, digital art, music, and more, which are often indistinguishable from human-made works. It also offers comprehensive contribution guidelines and highlights projects in new areas, serving as a valuable resource for developers and enthusiasts eager to learn more about Generative AI advancements.

Discover a versatile Chinese language model equipped for tasks such as chat, Q&A, translation, and content creation. Utilizing advanced Chinese encoding and comprehensive data cleaning, it excels in language processing and generation, from poetry to interview questions. Join the developer community and explore its features and real-world applications through live demos on the official platform.

Explore controlling Minecraft NPCs using OpenAI's GPT-3 in this proof of concept. Compatible with Java Edition Minecraft 1.17 and Node.js 14+, requiring an OpenAI API key. Launch the server, initiate the bot via the command line, and interact through game chat. This project supports multiple contexts and provides WSL troubleshooting, primarily for testing rather than production use.

Youku-mPLUG is a 10 million video dataset, the largest available for Chinese video-language pre-training. It comprises high-quality, diverse, and safe content categorized into 20 super categories and 45 categories. The dataset facilitates video category prediction, video-text retrieval, and video captioning, providing benchmarks for pre-trained model evaluation in multimodal tasks. It is accessible for research with setup guidelines and model benchmarks to support AI development and fine-tuning.

A detailed review of notable AI advancements made in 2022, with an emphasis on ethical standards, governance models, and transformative applications. Offering insights on the evolution of AI, this review highlights key innovations expected to improve quality of life and calls for conscientious technology application. Includes video explanations and links to scholarly articles and code repositories for a comprehensive understanding of current AI developments.

This repository features a collection of advanced language model applications, including GitHub repositories and tutorials utilizing models like GPT-3. It serves as a resource for those interested in developing and understanding AI applications, with examples from text generation to question answering, and tutorials that support creating personalized AI solutions. The repository also provides additional learning materials for comprehensive exploration of AI capabilities.

Integrate gpt-commit to automate the creation of commit messages using GPT-3 within your Git workflow. This tool provides AI-generated messages at each commit, enhancing documentation clarity. Easily set up with pip and Git clone, requiring configuration of an OpenAI API key. Optional hooks allow for automatic message generation during Git commits. Be aware that file information is shared with OpenAI under specific privacy terms.