GitHub - roboflow/multimodal-maestro: Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
LLMTuner
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
promptslab • GitHub - promptslab/LLMtuner: Tune LLM in few lines of code
Key unlock: Multimodal models can reason about images, video, or even physical environments without significant tailoring.
Sarah Wang • The Next Token of Progress: 4 Unlocks on the Generative AI Horizon
Sugarcane AI is an open-source framework designed to simplify and accelerate LLM app development. With a focus on fine-tuned Language Models (LLMs), prompt management, and Workflow Plugins, Sugarcane AI empowers developers to build, train, and manage complex LLM applications effortlessly. 🎉
Why Sugarcane AI? : Key Features of Microservices Framewor... See more
Why Sugarcane AI? : Key Features of Microservices Framewor... See more