#prompt engineering

This open-source platform simplifies comparative prompt engineering and LLM response evaluation. It enables users to simultaneously query multiple LLMs, offering quick comparisons in response quality across various prompts and models. Supporting model providers like OpenAI and Google PaLM2, the platform provides robust tools for setting evaluation metrics and visualizing results. With features like prompt permutations, chat turns, and evaluation nodes, it facilitates a thorough analysis of prompt and model efficiency. Encouraging experimentation and sharing, it includes functionalities for exporting results and integrating evaluations into research projects, making it a practical tool for researchers.

Optimize AI development with comprehensive tools supporting the full cycle from ideation to deployment. These tools facilitate prompt engineering, iterative development, and performance evaluation for LLM applications. Seamlessly integrate with CI/CD workflows and collaborate with Azure AI for enhanced production efficiency.

Discover an extensive range of software and resources for the Stable Diffusion AI model, including GUIs, CLI installations, and maintained forks. This collection embraces official releases, complementary models, and training guides across various platforms, facilitating easy installation and operation. Enhancements like inpainting, outpainting, and task chaining are supported, with guidance on prompt building to fully leverage the model's capabilities.

CLIP Interrogator combines CLIP and BLIP from OpenAI and Salesforce to produce optimized text prompts for images. It supports text-to-image models like Stable Diffusion, facilitating efficient art creation. Available as a Web UI Extension and on platforms such as Colab, HuggingFace, and Replicate, it offers customizable configurations and low VRAM options. Check version 0.6.0 for BLIP2 support and other updates.

Nextpy provides a framework tailored for self-modifying software using a sophisticated prompt engine. It includes features like robust guardrails and precise output control, enhancing AI generation and error detection. Its modular design supports versatile integration, improving Python development with skills transferable across platforms. With containerization and sandbox features, it offers performance advantages over traditional software like Streamlit, facilitating faster development in various environments.

TypeChat is a library designed to simplify the creation of natural language interfaces by using types instead of complex decision trees. It utilizes schema engineering to enhance interactions with large language models, solving issues like constraining model replies and validating responses. By defining types for application intents, developers can easily build interfaces for applications such as sentiment analysis and shopping carts. TypeChat generates prompts and verifies responses, ensuring they match user intentions. Learn how schema engineering serves as an alternative to prompt engineering, providing a more efficient way to develop reliable language interactions.

Discover Project Miyagi, an interactive workshop that leverages Microsoft's Copilot Stack to facilitate the creation of AI-enhanced enterprise applications. Learn about both traditional and cutting-edge machine learning techniques, including prompt engineering and vectorization. Gain insights into building scalable and maintainable AI-driven products with tools like Semantic Kernel and Promptflow. Explore how to modernize applications using AI through practical examples and resources.

Discover how 'promptbase' resources and techniques, such as Medprompt, enhance GPT-4 performance through dynamic prompts and reasoning enhancements. This methodology demonstrates substantial improvements in various domains, including medicine, with future insights and tools anticipated.

This guide provides essential resources to learn Large Language Models (LLMs) without needing an advanced background. Stay informed with the latest updates, techniques, and innovations in 2024 while accessing free resources like tutorials, courses, and community forums. Develop skills in areas such as Transformers and NLP through practical exercises and clear explanations. Suitable for all learning styles, the guide enables learners to become proficient in LLMs independently.

This repository provides a broad collection of resources such as roadmaps, guides, techniques, and community connections focused on GPT prompt engineering. It acts as a central point for developers and researchers to improve their expertise in designing effective prompts for GPT and other large language models. Access tools, tutorials, and up-to-date trends in AI to enhance knowledge and usage of prompt engineering across different models and platforms. Keep informed about progress and engage with communities to contribute to this growing field.

A comprehensive repository of resources on ChatGPT and GPT-3, offering detailed insights into OpenAI's initiatives, channel resources, toolkits, and developer tools. This guide includes carefully selected lists of applications, plugins, Chrome extensions, and user scripts to enhance AI utility. It includes tools for diverse applications such as translation, document handling, content generation, and automation of tasks. By incorporating technical insights, prompts, and prompt engineering techniques, this guide equips both novices and seasoned users with crucial information to harness ChatGPT and its diverse applications. Suitable for AI developers, researchers, and general enthusiasts looking to deepen their expertise in AI technologies.

Explore a versatile open-source platform with tools for prompt engineering, evaluation, and deployment of LLM applications. It facilitates team collaboration, prompt experimentation, human annotation collection, and one-click application deployment. Compatible with any LLM workflow and integrates with frameworks such as Langchain and LlamaIndex. Boost productivity with user-friendly management tools and connect with an active community. Access comprehensive documentation and enterprise support, and participate in the platform's continuous evolution.

PromptLayer is designed for prompt engineers, providing a platform to track, manage, and share GPT prompt activities efficiently. Acting as middleware with OpenAI's Python library, it records API requests for easy exploration in the dashboard. With a Python wrapper, it facilitates integration and enables efficient tracking with tags and REST API support for multilingual use.

AI Render seamlessly integrates Stable Diffusion into Blender, facilitating AI image generation from text prompts and existing scenes without local code execution. Compatible with Windows, Mac, and Linux, it offers animation and local installation support. Leverage Blender's animation tools for creative projects, batch processing, and prompt experimentation. Discover tutorials, platform compatibility, and an interactive community for feedback and feature requests.