How to choose the right AI model for your application?
The sea of AI models available can be overwhelming, but understanding these models and choosing the right one is key to harnessing the full potential of AI for your specific application.
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.
