Synthesia

When should you fine-tune instead of using RAG?

Compare offline (golden set) and online (sampled traffic) evaluation as complementary signals

Order the stages of a retrieval and assembly pipeline that exploits the lost-in-the-middle curve

What is the most likely cause when a DPO run spikes to NaN around step 400 after a clean start?

Compare SFT and continued pretraining when adapting a base model to medical text

Walk through how a token's d_model embedding is split into per head pieces inside multi-head attention.

Match each LLM latency metric to what it measures

Match each preference tuning variant to its design choice on noisy labels

How does RoPE scaling fit in when extending a 4k-context model to 32k via fine-tuning?

Why does dropping the EOS token from SFT labels produce a model that never stops generating?