Large language models are the foundation for today's groundbreaking AI applications. Instead of training an LLM on a massive dataset, save time by using an existing model with smart prompts grounded in your data. Here’s how.
Other authors include: Can Qin, Stefano Ermon, Yun Fu GlueGen was accepted by ICCV. In the rapidly advancing field of text-to-image synthesis, the remarkable progress in generating lifelike images from textual prompts has…
High performers spend more than 20% of their digital budgets on AI, but that’s just the beginning. Here’s what you can learn from companies leading the pack.