Learn about the technique that encourages AI to reason step-by-step, improving accuracy on complex logic and math problems.

To learn more, visit https://www.domainshift.ai/p/chain-of-thought-prompting

Discover how models perform tasks they’ve never seen during training, using only instructions and general knowledge.

To learn more, visit https://www.domainshift.ai/p/zero-shot-learning

Explore how models can learn new tasks with only a few examples, demonstrating remarkable adaptability and transfer learning capabilities.

To learn more, visit https://www.domainshift.ai/p/few-shot-learning

Understand the phenomenon where AI models generate false or nonsensical information that appears plausible and convincing.

To learn more, visit https://www.domainshift.ai/p/hallucination

Learn how external information retrieval systems enhance language models, reducing hallucinations and improving factual accuracy.

To learn more, visit https://www.domainshift.ai/p/retrieval-augmented-generation

Discover how pre-trained models are adapted for specific tasks by training further on smaller, task-specific datasets.

To learn more, visit https://www.domainshift.ai/p/fine-tuning

Explore the craft of designing and optimizing inputs to guide AI models toward generating desired, accurate outputs.

To learn more, visit https://www.domainshift.ai/p/prompt-engineering

Understand how words and concepts are converted into numerical vectors that capture semantic meaning and relationships in vector space.

To learn more, visit https://www.domainshift.ai/p/embeddings

Learn about the basic units into which text is divided for processing, the foundation of how language models understand text.

To learn more, visit https://www.domainshift.ai/p/tokens

Discover massive AI models trained on vast text data that can understand and generate human-like text across diverse applications.

To learn more, visit https://www.domainshift.ai/p/large-language-models