Coding & Development

Ragbook-notebooks is an open-source repository that compiles all the notebooks for the "Building LLMs for Production" book by Towards AI. It serves as a practical resource for developers and researchers interested in Retrieval-Augmented Generation (RAG) and large language models. The repository includes detailed examples and tutorials on various topics, such as understanding transformer architectures, mastering prompt engineering techniques, and building robust applications using frameworks like LangChain and LlamaIndex. It also covers advanced RAG concepts, agent creation, and fine-tuning LLMs, making it a comprehensive companion for those looking to implement LLMs in production environments.

TRL (Transformers Reinforcement Learning) is a comprehensive library designed for post-training foundation models through advanced techniques like Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), and Direct Preference Optimization (DPO). Built on the Hugging Face Transformers ecosystem, TRL supports diverse model architectures and modalities, offering scalability across various hardware setups. Key features include accessible trainers like SFTTrainer, GRPOTrainer, DPOTrainer, and RewardTrainer. It leverages Hugging Face Accelerate for scaling from single GPUs to multi-node clusters with DDP and DeepSpeed, and integrates PEFT for efficient training on large models using quantization and LoRA/QLoRA. TRL also includes a Command Line Interface (CLI) for fine-tuning models without extensive coding.

stable-diffusion-webui-two-shot is an extension for Stable Diffusion WebUI, specifically designed to enhance image generation through its Latent Couple feature. This tool extends the built-in Composable Diffusion capabilities, allowing users to precisely determine the region of the latent space that reflects their subprompts. The effect of Latent Couple is only active when enabled, and regions are created based on user-defined divisions, positions, and weights. This provides a granular level of control over how different elements of a prompt are rendered within specific areas of the generated image, making it ideal for complex compositions and detailed scene creation.

RegexBot is an AI-powered tool designed to streamline the process of generating regular expressions. By allowing users to input plain English descriptions, it automatically creates the corresponding regex patterns, eliminating the need for deep expertise in regex syntax. This makes it particularly valuable for developers and data scientists who frequently work with text processing and data extraction but may not be regex specialists. The tool aims to enhance productivity and reduce errors associated with manually crafting intricate regex patterns, providing a user-friendly solution for a common programming challenge.

ImagePrompt is a coding & development tool designed to facilitate AI image generation by converting images into text prompts. It also offers functionality to extract images from web pages, which can be useful for various purposes such as content creation, data collection, or design inspiration. The tool aims to streamline the process of generating effective prompts for AI models, making it easier for users to achieve desired visual outputs. Its dual capability of prompt generation from images and image extraction from web pages provides a versatile solution for those working with AI-driven visual content.

Vertesia is an agentic AI platform designed to transform business operations by automating complex workflows with trusted AI agents. It offers a comprehensive suite of tools including the Vertesia Platform for managing AI agents, a Studio for building AI apps and agents, and Agentic RAG for streamlined data preparation. The platform supports multi-model integration, ensuring flexibility and avoiding vendor lock-in. Vertesia also provides an AI Assistant for secure, chat-based interaction with AI and offers solutions tailored for various industries and departments, from financial services to healthcare and IT. Its focus on enterprise-grade security and built-in privacy helps reduce operational risks, making it suitable for organizations looking to scale AI solutions efficiently.

auto-cot is an open-source tool that provides an official implementation for "Automatic Chain of Thought Prompting in Large Language Models." Developed by Amazon Science, this tool significantly reduces the manual effort typically required for designing effective chain of thought prompts. By automating the generation of diverse prompts, auto-cot helps large language models (LLMs) like GPT-3 achieve or even exceed the performance of manually designed prompts. It is particularly useful for researchers and developers working with LLMs, offering a method to enhance reasoning capabilities through automated prompt engineering. The project is available on GitHub and includes requirements, datasets, and quick start instructions for easy implementation.

Safety-Prompts is an open-source GitHub repository offering a comprehensive collection of Chinese safety prompts designed to evaluate and enhance the safety of Large Language Models (LLMs). This resource includes over 100,000 prompts and corresponding ChatGPT responses, covering a wide array of typical safety scenarios such as insult, unfairness, discrimination, crimes, physical harm, mental health, privacy, property, ethics, and morality. Additionally, it features instruction attack scenarios like goal hijacking, prompt leaking, role play instruction, unsafe instruction topics, inquiry with unsafe opinion, and reverse exposure. The dataset is intended for training and fine-tuning safer models, aligning model outputs with human values, and conducting safety assessments. While most responses are safe, the repository notes some limitations, including potential prompt imperfections and occasional unsafe responses from ChatGPT, particularly in goal hijacking scenarios.

ChatNote is a tool designed to simplify prompt engineering, enabling users to achieve better answers from AI models. The tool is currently free to use and does not require any login, making it easily accessible for quick experimentation and use. Its primary goal is to enhance the effectiveness of AI prompts, thereby improving the overall quality and relevance of AI-generated responses. While the website indicates it is still under construction, the core functionality focuses on making prompt creation more efficient and impactful for various AI applications.

Prompt Attack functions as a dedicated marketplace for AI prompts, enabling users to both acquire and offer prompts designed to enhance the performance and output of artificial intelligence models. The platform is built around the concept of prompt engineering, providing a curated environment where individuals and organizations can find specialized prompts tailored for various AI applications. By facilitating the exchange of these optimized prompts, Prompt Attack aims to streamline the process of achieving desired AI model behaviors and results. This marketplace approach allows for a collaborative ecosystem where prompt creators can monetize their expertise and users can access high-quality, pre-tested prompts to improve their AI interactions and outcomes.

PromptsLabs is an AI prompt library specifically designed for the rigorous testing and evaluation of Large Language Models (LLMs). It offers a comprehensive collection of prompts that enable developers and researchers to assess the performance, quality, and reliability of their AI models. By providing a structured environment for prompt-based testing, PromptsLabs assists in identifying potential biases, inconsistencies, and areas for improvement within LLMs. This tool is crucial for maintaining high standards in AI development and ensuring that models behave as expected across various scenarios.

White Beard Strategies offers comprehensive AI training and implementation strategies designed to help businesses leverage artificial intelligence effectively. Their expert-led programs focus on streamlining workflows, boosting productivity, and increasing profitability by integrating AI into daily operations. The training covers actionable methods to save time, enhance customer experience, and empower teams with AI tools. They emphasize practical application, helping organizations automate routine tasks, gain data-driven insights, and adapt AI to reflect their unique brand voice. The company also provides resources like a free AI checklist and a custom GPT, Enoch, to assist with business strategy, ensuring clients can work smarter, not harder.

Template Prompts provides a dedicated space for users to save and organize their AI prompts, eliminating the problem of lost or scattered prompts across various platforms. Users can add prompts in seconds, label them with tools and custom tags, and quickly find them through search and filtering options. The tool supports version control, automatically saving each change made to a prompt, allowing users to revisit, compare, or restore previous versions. Additionally, it enables the creation of reusable templates with placeholders, making it easy to adapt prompts for different contexts and AI tools like ChatGPT, Gemini, and Midjourney. It's designed for daily AI users who need an efficient way to manage their prompt library.

The ChatGPT BingChat GPT3 Prompt Generator App (Streamlit) is a web-based application designed to help users generate effective prompts for AI models such as ChatGPT, BingChat, and GPT3. Built on the Streamlit framework, this tool aims to simplify the process of creating engaging and optimized prompts. While the specific features are not detailed, its core function is to assist in prompt engineering, making it easier for users to interact with and get desired outputs from large language models. The application is hosted on Hugging Face Spaces, indicating its accessibility and community-driven nature.

Open Prompt Hub is an open registry for AI-native software, designed to facilitate the sharing and discovery of structured prompts. It treats prompts as packages, enabling AI agents to generate, test, and deploy software based on these instructions. The platform supports a standardized format for prompts, including metadata like name, version, title, description, tags, and target models. It also emphasizes the importance of clear instructions and natural-language test cases for verifying agent output. Future features include a CLI for direct prompt execution, automated build reports, and multi-stage prompt distribution, aiming to streamline AI-driven software development workflows.

Prompt Enricher helps users significantly improve their AI outputs by taking any prompt, no matter how rough, and enriching it into a structured, specific, and effective version. The tool evaluates prompts across five key dimensions—Your Objective, Input Context, Expectations & Constraints, Layout of Output, and Demonstrations/Examples (YIELD framework)—to identify missing elements. Users receive a score indicating areas for improvement and then get an enriched prompt with placeholders for specific details. This process ensures clearer communication with AI models, leading to more accurate and useful results, saving time, tokens, and frustration by reducing the need for multiple retries.

Prompt.fun is an AI-powered platform designed to simplify prompt engineering by connecting users with expert prompt engineers. The platform allows users to create, refine, and manage their AI prompts effectively, ensuring optimal output from various AI tools. Key features include expert assistance, real-time chat for immediate feedback, and file sharing capabilities to enhance prompt creation with images, PDFs, and other relevant documents. Prompt.fun also offers an opportunity for prompt experts to join their community, earn competitive rewards, and work flexible hours while helping users craft perfect prompts. This makes it an ideal solution for anyone struggling with prompt creation or looking to monetize their prompt engineering skills.

awesome-ai-system-prompts is an open-source repository offering a curated collection of system prompts specifically designed for leading AI tools such as ChatGPT, Claude, Perplexity, and MetaAI. This resource is invaluable for AI agent builders and prompt engineers looking to optimize the behavior and performance of agentic AI systems. It delves into the art and science of crafting effective prompts, analyzing real-world examples from tools like Vercel v0 and same.new to identify recurring patterns and best practices. The repository covers core principles including clear role definition, structured instructions, explicit tool integration, step-by-step reasoning, and environment awareness, providing a foundational blueprint for guiding AI behavior, capabilities, and limitations.

The Midjourney Prompt Builder by Artificin is a free online tool designed to simplify the creation of complex prompts for Midjourney AI art generation. Users can effortlessly craft custom prompts by selecting from a wide array of styles, effects, themes, artists, characters, and design elements. The builder includes options for various digital art styles like 2D, 3D, abstract, concept art, pixel art, and more, alongside traditional styles such as oil painting, watercolor, and chiaroscuro. It also allows for the inclusion of negative text and image links, providing comprehensive control over the AI art output. This tool is ideal for anyone looking to generate high-quality, customized AI art without needing extensive prompt engineering knowledge.

awesome-gpt-prompt-engineering is a comprehensive, curated list of resources, tools, and other valuable materials specifically designed for LLM prompt engineering. This open-source GitHub repository offers a wealth of information, including detailed roadmaps for learning prompt engineering, in-depth guides covering various techniques, and extensive collections of prompts. It also features sections on relevant academic papers, books, and communities, making it an invaluable hub for anyone working with or learning about GPT models. The repository further includes sections on prompt generators, Auto-GPT related tools, prompt injection information, playgrounds, alternative UIs, and ChatGPT plug-ins, providing a holistic view of the prompt engineering landscape.

GPT Prompt Lab is an AI prompt generator designed to help users create high-quality prompts for various AI models, including ChatGPT, Gemini, and DeepSeek. Users can input article topics and the tool will generate suitable prompts in seconds, streamlining the content creation process. It caters to content creators, marketers, and writers, enabling them to craft precise prompts for any AI model and even test them. The platform aims to boost confidence in using AI models by providing a free and efficient way to generate and refine prompts, ensuring better and more consistent AI outputs.

Tree-of-thought-prompting is an open-source project on GitHub that introduces a novel Tree-of-Thought (ToT) Prompting technique to significantly boost the reasoning capabilities of Large Language Models (LLMs) like ChatGPT. Building upon the established Chain-of-Thought (CoT) prompting, ToT Prompting allows LLMs to explore multiple reasoning paths, self-evaluate, and correct errors autonomously. This method has shown to enable ChatGPT 3.5 to correctly answer complex questions that previously only ChatGPT 4 could handle. The project provides example prompts and encourages community contributions to refine and expand the technique, offering a single-prompt solution for enhanced LLM performance without requiring multiple API calls.

Skillium is a mobile application designed to empower professionals and curious individuals to master AI tools efficiently. It provides personalized learning paths with engaging 5-10 minute daily lessons, making it easy to integrate into a busy schedule. Users can build real-world applications like chatbots and AI art generators through practical projects, showcasing their newly acquired skills. The platform covers in-demand AI skills such as Prompt Engineering, AI Image & Video Generation, No-Code Automation, and Data Analysis with AI Copilots. Skillium also fosters a vibrant community for learners to connect, participate in Q&A sessions, and receive guidance from AI experts, all while offering career-focused tips and job-ready challenges.

The AI Interview Answers Generator acts as a copilot during job interviews, offering instant solutions to challenging questions. It features real-time voice transcription, converting spoken technical questions into text so users don't miss any queries. Leveraging cutting-edge AI, the tool provides optimal answers as the interviewer asks each question, preventing users from blanking out. It draws from a vast repository of industry-specific knowledge, ensuring access to relevant and up-to-date information. The tool supports popular online meeting platforms like Microsoft Teams, Zoom, and Google Meet, allowing users to share their meeting tab to receive instant help during interviews, whether by sending text or screenshots to the AI.