survey
(10)Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
16 Mar 2025  Ā·  43 min  Ā·  recsys llm teardown survey
Overcoming the bottleneck of human annotations in instruction-tuning, preference-tuning, and pretraining.
Reference, context, and preference-based metrics, self-consistency, and catching hallucinations.
03 Sep 2023  Ā·  23 min  Ā·  llm eval survey
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
27 Nov 2022  Ā·  19 min  Ā·  deeplearning nlp survey
Simple baselines, ideas, tech stacks, and packages to try.
03 Oct 2021  Ā·  5 min  Ā·  recsys deeplearning production survey
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
27 Sep 2020  Ā·  16 min  Ā·  recsys deeplearning production survey
Examining the broad strokes of NLP progress and comparing between models
16 Aug 2020  Ā·  23 min  Ā·  nlp deeplearning survey
Part II of the previous write-up, this time on applications and frameworks of Spark in production
05 Jul 2020  Ā·  15 min  Ā·  machinelearning deeplearning production survey
Sharing my notes & practical knowledge from the conference for people who don't have the time.
28 Jun 2020  Ā·  11 min  Ā·  machinelearning deeplearning survey
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
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