Showing all technical articles annotated with the hash-tag #prompt-engineering.
Unpacking DeepSeek-R1's Multi-head Latent Attention (MLA), DeepSeekMoE 210B sparse routing, and group relative policy optimization (GRPO) reinforcement learning.
Avoid repeating $0.03 LLM queries by matching semantically similar user prompts in vector cache before hitting API endpoints.
Moving beyond naive vector lookup: building adaptive multi-agent retrieval routers that decide when to query vector databases vs SQL databases.
How malicious instructions hidden inside scraped web pages or user uploaded PDFs can hijack your LLM agent's execution flow.
