#Prompt Engineering

This GitHub repository offers a set of pre-built examples to help users get started with Amazon Bedrock efficiently. It includes resources on Bedrock basics, prompt engineering, generative AI agent implementation, and custom model integration. Additionally, it covers working with multimodal data, use cases for generative AI, and implementing RAG. The repository highlights responsible AI practices and guides from proof of concept to production deployment, with each folder offering detailed instructions.

Access a rich collection of prompts tailored for a variety of large language models such as Siri and GPT-4o. This repository offers practical solutions for text manipulation, medical queries, programmatic support, and prompt creation. Ideal for developers and researchers interested in enhancing AI model interactions. Connect with a thriving Discord community for collaboration and support, and explore detailed use cases for improved AI outcomes.

YiVal provides an advanced solution for automating prompt and configuration optimizations in GenAI applications. This tool simplifies prompt adjustments, ensuring improved performance and minimized latency without manual intervention. It utilizes data-driven insights to refine model parameters, addressing challenges including prompt creation, fine-tuning complexity, scalability, and data changes. YiVal supports applications in achieving better results and cost savings effectively. Refer to the quickstart guide for seamless integration.

Explore essential insights and tools for pursuing a career in AIGC, including job opportunities and foundational knowledge in algorithm and prompt engineering. This guide curates community updates, shared experiences, and vital resources to assist professionals in navigating the evolving AI landscape. Focus is placed on developing skills relevant to modern AI roles, such as ChatGPT and Stable Diffusion, ensuring readers are well-prepared for the current job market.

This guide offers an in-depth look at prompt engineering, essential for the enhancement and effective application of large language models (LLMs). It features the newest research findings, educational resources, and tools to improve LLM performance in areas such as question answering and complex reasoning. Continuously updated with fresh content and collaborations, this resource serves both researchers and developers interested in mastering advanced prompt engineering.

This guide offers an in-depth look at prompt engineering with ChatGPT, tailored for developers. It explains the workings of language models and shares practical strategies for their effective use. Featuring hands-on examples with Jupyter Notebook code and OpenAI's API, the course facilitates the rapid creation of impactful applications. Covered topics include summarization, inference, text transformation, and chatbot development. Created by experts Isa Fulford and Andrew Ng, this resource supports prompt skill enhancement with bilingual course content and CLI command scripts to foster practical experience.

LangGPT offers a template-driven method to create structured and reusable prompts for large language models, transforming traditional prompt design by utilizing variables and commands, similar to object-oriented programming. This approach ensures efficient and intuitive prompt creation. Key features include prompt injections, jailbreak protection, and multimodal tips. Practical uses include PDF parsing with GPT-4o. Access comprehensive resources such as research papers, video tutorials, and expert articles for more insights.

Tianji is an open-source project providing tools for understanding human etiquette and interaction through prompt applications, knowledge databases, and customizable agents. Regular updates enhance its capability to support applications in areas like Etiquette and Hospitality. Explore models such as Wines Etiquette and Wish-sending integrated with frameworks like LangChain and LlamaIndex, and access comprehensive datasets on Hugging Face. Collaborate with the community on GitHub and WeChat for insights into AI-driven social practices.

Discover innovative approaches in prompt engineering with the Learn Prompting project, featuring expertise in generative AI and LLMs. Benefit from practical guides, content contributions, and a thriving community for AI learning. Acquire hands-on local development skills and gain insights from diverse contributions, maintaining a leading edge in AI innovation.

The repository compiles extensive notes on advanced AI, emphasizing generative technologies and large language models. Serving as foundational material for the LSpace newsletter, it covers topics like text generation, AI infrastructure, audio and code generation, and image synthesis. Featuring tools such as GPT-4, ChatGPT, and Stable Diffusion, the notes detail contemporary developments, aiding AI enthusiasts and professionals in keeping updated with AI innovation and application.

Discover the capabilities of AI via Python with interactive projects and tutorials centered on ChatGPT/GPT-4 and LangChain. Develop applicable solutions, such as training models like Llama 2 and deploying AI systems through LangChain. The guide provides detailed walkthroughs for importing data, leveraging AI models, building smart chatbots, and handling complex operations with AI agents. Improve expertise with instructional videos and articles explaining practical implementations and benefits of these technologies, and begin crafting AI-driven solutions suited for various tasks.

Explore a versatile prompt engineering toolkit that addresses complex NLP challenges using advanced LLMs like GPT and PaLM. Enhance task prompt generation without the need for training data and take advantage of optimized workflows for tasks such as Named Entity Recognition and text classification. Utilize customizable templates and structured output for seamless business integration. Join a vibrant community for cutting-edge insights and advancements in prompt engineering.

Discover a vast array of resources and tools for ChatGPT and OpenAI, featuring custom GPT chatbots, and various applications across desktop, web, and browser platforms. The collection highlights diverse SDKs and programming languages with comprehensive documentation on prompt engineering, catering to developers and researchers for seamless integration.

Explore the Langchain project, examining its features, tool integrations, and common issues. Discover community perspectives on Langchain's limitations and debugging challenges, alongside comparisons to general large model problems. The article offers potential solutions using LLMs, planning, and retrieval. It also provides insights into optimizing prompts and embeddings in specific domains, aiding in the effective use of Langchain for complex tasks.

This repository offers a curated selection of GPT prompts categorized by programming, writing, and education, sourced from the OpenAI GPT Store. It facilitates community engagement in sharing and developing AI-driven solutions across sectors, providing a platform for collaboration and inspiration in AI development.

This article explores the role of large language models in software development, illustrating their real-world applications. Key focus areas include prompt engineering, AI-based architecture, and comprehensive context management. Collaboratively created with Thoughtworks and community experts, these projects leverage tools like ChatGPT and Copilot to improve software development efficiency. Featuring open-source resources, tutorials, and a detailed eBook, this content provides practical insights for developers interested in LLM-driven process optimization and invites participation through community-driven contributions.

Explore a comprehensive collection of resources for AI art and image synthesis. This includes tools, models, and prompt engineering aids, ideal for designers exploring creative possibilities. The collection covers popular platforms like Dalle2, MidJourney, StableDiffusion, and open-source alternatives, focusing on simplifying the creation of AI-based art with intuitive features and minimal coding. Stay informed about the latest developments in text-to-image models, prompting methods, and post-processing techniques to improve image quality. Connect with active communities on Discord and Reddit for inspiration and support in your artistic endeavors, while accessing valuable tutorials, videos, and social media insights.

LLMstudio offers access to advanced language models from OpenAI, Anthropic, and Google, supporting custom and local models through an intuitive interface. It features a Python SDK, LangChain integration, and efficient batch processing, ensuring continuous service through smart routing. Users can keep track of their operations with detailed monitoring, and look forward to future type casting capabilities. It integrates easily into existing systems, helps reduce complexity, and improves performance, providing developers with tools to enrich AI interactions.

The open-source guide offers resources for in-context learning and prompt engineering, assisting in mastering large language models (LLMs) such as ChatGPT and GPT3. The repository contains recent research papers, an experimentation playground for LLMs, and practical prompt engineering techniques. It features prompts for workplace and daily use, along with a LangChain-supported LLM usage guide. Regular updates aim to prepare users for advancing toward Artificial General Intelligence, optimizing skills in the face of automation.

Prompts Royale simplifies prompt engineering by enabling users to generate, customize, and test multiple prompts efficiently. The tool uses Monte Carlo matchmaking and ELO ratings for ranking, ensuring secure local data storage. Available online or for local use, it supports reliable and accessible prompt development.

This extensive resource explores a variety of open-source Generative AI libraries and ChatGPT variants. Key features include tools for prompt engineering and integrations with platforms like Google Search and Slack. It also offers automated assistants for summarization and SEO title generation. Developers will find coding solutions, API tools, and client-side application guides. The platform includes experiments running virtual machines within ChatGPT, highlighting its adaptability. This is an essential resource for developers seeking integration solutions or researchers exploring AI experiments.

PromptBench provides a versatile platform for evaluating Large Language Models (LLMs) with tools for performance analysis, prompt engineering, and adversarial prompt simulation. It supports numerous datasets and models, encompassing both linguistic and multi-modal varieties. The library facilitates swift assessments and rigorous testing, drawing on efficient evaluation methods akin to IRT models for accurate performance forecasts on new data. Ideal for researchers focused on improving LLM robustness without exaggerated claims.

Explore the evolving field of prompt engineering, which optimizes prompts for language models. This guide provides an extensive range of resources like papers, lectures, and tools to expand your understanding of the capabilities and limitations of large language models in tasks such as question answering and reasoning. Discover effective prompting techniques and self-paced courses at DAIR.AI Academy. Stay informed with multi-language support and a community of over 3 million learners. Access the guide online or locally.

The guide provides resources for Chinese users to effectively use ChatGPT, offering communication techniques, application development tools, and AI productivity solutions. Topics include dialogue techniques, top open-source projects, GPT guidelines, and AGI development, with regular updates for recent insights.

Discover cutting-edge developments in GPT prompting, emphasizing jailbreak strategies, prompt leakage, and security measures. The project provides resources from ChatGPT jailbreaks to prompt injections and AI prompt engineering, including adversarial machine learning. It includes comprehensive repositories and communities focused on system prompt leaks and mastery of prompt engineering. Ideal for those aiming to mitigate vulnerabilities or boost prompt efficiency, this collection delivers essential tools, techniques, and practices.

This repository provides a comprehensive collection of Prompt Engineering resources covering Generative Pre-trained Transformers like GPT, ChatGPT, and PaLM. The collection includes papers, tools, datasets, models, and community insights curated for practical and educational use. This guide is suitable for researchers, educators, and developers interested in mastering Prompt Engineering techniques.

Utilize EdgeChains to streamline your generative AI deployments with a focus on stability and scalability. As a platform developed on Google's jsonnet and Cloudflare's honojs, it provides a reliable framework for production-ready GenAI applications with minimal effort. EdgeChains is crafted for fault tolerance, automatic task parallelization, and scalable operations, making it ideal for extensive datasets and diverse APIs. The versionable prompts simplify prompt engineering and manage changes over time. It also allows detailed tracking of token costs and assures testability, making it a practical choice for developers.

Explore key techniques in prompt engineering through an online course featuring tutorials for ChatGPT and Midjourney. Suitable for both newcomers and experienced users, this multi-part guide covers AI basics, practical strategies, and hands-on examples. The course encourages experiential learning and welcomes collaborative feedback for continuous improvement. Discover a dynamic resource aimed at enhancing your skills in prompt engineering. Begin your learning journey with content that supports foundational comprehension and advanced skill-building.

Discover detailed code snippets and guides for integrating and enhancing Claude's capabilities. This resource serves both newcomers to the Anthropic API and developers seeking advanced methods, offering insightful instructions. Obtain an Anthropic API key to begin exploring Python examples and elevate project efficiency. Benefit from community support and documentation, and contribute to ongoing resource development.