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.

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.

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

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

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