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La Terminal is a specialized SSH terminal designed for seamless spatial computing, integrating advanced command search and AI assistance.
LM Studio is a user-friendly application that enables seamless interaction with open-source large language models (LLMs) without requiring programming knowledge.
LLMate is an AI-driven marketing analytics platform that turns data into actionable insights, optimizing performance and automating reporting.
LLM Labs is a platform allowing indie developers to simultaneously test and compare various language models in a user-friendly side-by-side format.
Maestri is an AI-powered macOS tool to orchestrate multiple agents for developers.
MacCopilot is a native macOS app that enhances productivity with advanced AI interactions, including flexible screenshots and engaging conversations with AI models like GPT-4.
LiteLLM is an open-source library designed to simplify LLM completion and embedding calls, offering an intuitive interface for various LLM models.
A cost-effective SDK and web console for effortlessly fine-tuning large language models and accessing GPU resources.
LLM Arena is a user-friendly platform for creating and sharing visual comparisons of large language models.
Lamucal is an AI-driven music tool that generates music tabs, chords, and vocal covers for any song.
A browser-based tool designed for calculating tokens used in popular LLM models like GPT-3.5 and GPT-4.
Invisibility is a powerful copilot for Mac users, seamlessly integrating multiple AI models like Claude-3 Opus, Llama 3, and GPT-4 into one accessible platform.
LlamaIndex is a versatile data framework tailored for integrating custom data sources with large language models (LLMs).
ScreenML is a macOS application that automates screenshot naming, improving organization through AI-generated filenames based on content context.
Spatio Notch is a versatile AI assistant for Mac's notch that streamlines task management and note-taking without interrupting your workflow.
A platform for exploring and enhancing Flux models with LoRA technology.
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