13 articles tagged with Prompt Engineering
A technical deep-dive into the limitations of ultra-long context windows. We analyze attention dispersion, distraction tokens, multi-hop reasoning failure modes, and why hybrid RAG + Contextual Compression outperforms raw prompt dumping.
The prompt translation gap. Why switching from Anthropic Claude to OpenAI GPT or Google Gemini breaks system prompt assumptions, tool schemas, and formatting rules.
Prompted chain-of-thought and trained-in reasoning tokens look similar from the outside — both produce visible 'thinking' text — but they behave differently, and conflating them leads to wasted tokens.
Learn how to write system instructions to orchestrate Anthropic's Computer Use API. Master coordinate calibration, error handling, and visual retry states.
Learn how to build highly intelligent AI pipelines by dynamically selecting few-shot prompt examples based on semantic similarity search via vector databases.
Stop manually tuning strings. Discover how to program LLM pipelines programmatically, compiling and optimizing prompts dynamically using Stanford's DSPy.