How to train an open-source foundation model into a domain-specific LLM?
A domain-specific language model constitutes a specialized subset of large language models (LLMs), dedicated to producing highly accurate results within a particular domain.
Accelerating AI model training with transfer learning
Transfer learning is a machine learning approach that involves utilizing knowledge acquired from one task to improve performance on a different but related task.
Generative AI in finance and banking: The current state and future implications
The finance industry has embraced generative AI and is extensively harnessing its power as an invaluable tool for its operations.
Demystifying diffusion Models: A comprehensive guide to key concepts and applications
Unlike GANs, diffusion models require only a single model for training and image generation, making them less complex and more efficient for image generation applications.
A comprehensive guide on foundation models
A foundation model is a deep learning algorithm that undergoes pre-training on a massive and diverse dataset, such as images or text.
Prioritizing security in AI development: Training, building, and deploying models in a secure environment
Companies achieve maximum AI model security by integrating robust security protocols, following best practices, and ensuring adherence to regulations.
