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