Explores the difference between rigorous prompt engineering and amateur 'blind prompting' for language models, advocating for a systematic, test-driven approach.
Explores the Reflexion technique where LLMs like GPT-4 can critique and self-correct their own outputs, a potential new tool in prompt engineering.
An overview of prompt engineering techniques for large language models, including zero-shot and few-shot learning methods.
Explores AI image generation tools like DALL·E 2 and Stable Diffusion, and the emerging market for specialized prompts on platforms like Promptbase.
An engineer shares insights and tutorials on applying Cohere's large language models for real-world tasks like prompt engineering and semantic search.
