Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.

AI Prompt Master is an advanced tool to supercharge your interactions with generative AI platforms like ChatGPT, DALL-E, Midjourney, and more. It provides users with the ability to create custom prompts through an intuitive interface that includes radio buttons and checkboxes to tailor prompts to specific needs. With access to predefined templates and one-click copy features, transferring prompts to AI tools becomes seamless. AI Prompt Master aims to improve efficiency, save time, and ensure accurate AI responses, making it ideal for professionals, students, and AI enthusiasts.

DiDi's Prompts is a Chrome extension designed to enhance your prompting experience with ChatGPT. It allows users to quickly access pre-saved prompts, insert them into ChatGPT's input box, and customize their prompt library effortlessly. Simply type '/' in the ChatGPT input box to activate the prompt list, select desired prompts, and manage your prompt library via the extension settings. It's completely free with no ads, and it requires the permission to read and change data on websites you visit to function.

Dual Coding Agents provides a modular architecture for constructing AI agents that seamlessly combine visual understanding and language generation. The framework offers built-in support for image encoders like OpenAI CLIP, transformer-based language models such as GPT, and orchestrates them in a chain-of-thought pipeline. Users can feed images and prompt templates to the agent, which processes visual features, reasons about context, and produces detailed textual outputs. Researchers and developers can swap models, configure prompts, and extend agents with plugins. This toolkit simplifies experiments in multimodal AI, enabling rapid prototyping of applications ranging from visual question answering and document analysis to accessibility tools and educational platforms.