What is prompt tuning and where is it applied?
Machine Learning / AI
What are quantized embeddings and how are they used in production search?
Explain the scaled dot-product attention formula. Why divide by sqrt(d_k)?
What are the quality metrics for generation in RAG (faithfulness, answer relevancy, context precision/recall)?
What is the difference between autoregressive and masked language models?
What are Latent Diffusion Models (Stable Diffusion)?
What is the exploration-exploitation tradeoff and how is it implemented (Thompson sampling, epsilon-greedy)?
What does the temperature parameter regulate?
Design a UGC content moderation system (text + images).
What is beam search and why is it rarely used for open-ended generation?
What is BLIP-2 and what is the role of Q-Former?
What is a refiner in SDXL and its role?
What is product quantization (PQ) and what are its quality losses?