Tag: LLM optimization
Few-Shot Learning with Prompts: How Example-Based Instructions Improve Generative AI
Learn how few-shot learning boosts generative AI accuracy by providing examples instead of complex instructions. Discover best practices for crafting prompts, when to choose it over fine-tuning, and real-world applications.
Role-Based Prompting for Generative AI: Expert Personas That Guide Better Responses
Discover how role-based prompting shapes AI outputs. Learn when expert personas boost style and when they fail accuracy tests, with practical frameworks.
Sparse Attention and Performer Variants: Efficient Transformer Ideas for LLMs
Explore how Sparse Attention and Performer variants solve the quadratic complexity bottleneck in Transformers. Learn about Longformer, BigBird, and practical implementation tips for efficient LLMs.
