From NVIDIA: 2024-04-10 09:00:47

Foundation models, trained on vast amounts of data, are vital for AI applications. These models understand and generate human-like language, revolutionizing text generation, code analysis, image and video creation, and speech synthesis. They can be fine-tuned for specialized use cases, saving time and costs. Enterprises are leveraging foundation models to enhance AI applications across industries.

Various types of foundation models exist, such as LLMs and image generators. Google’s Gemma excels in text comprehension and code generation, while Mistral and Llama 2 are innovative in following instructions and generating creative text. These models, available for free in the NVIDIA API Catalog, can be run on local PCs using NVIDIA GeForce and RTX GPUs for fast and secure results.

Multimodal foundation models, processing text and images simultaneously, offer sophisticated outputs. Models like StabilityAI’s Stable Diffusion XL and SDXL Turbo generate stunning visuals, while Microsoft’s Kosmos 2 specializes in understanding and reasoning about visual elements in images. Running these models locally with NVIDIA GPUs cuts costs, eliminates latency, and enhances gaming and interactive experiences. Subscribe to the AI Decoded newsletter for the latest updates on generative AI trends.



Read more at NVIDIA: Decoding Foundation Models the Building Blocks of AI