Tag:
survey
(10)
SearchImproving Recommendation Systems & Search in the Age of LLMs
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
How to Generate and Use Synthetic Data for Finetuning
Overcoming the bottleneck of human annotations in instruction-tuning, preference-tuning, and pretraining.
Evaluation & Hallucination Detection for Abstractive Summaries
Reference, context, and preference-based metrics, self-consistency, and catching hallucinations.
Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
27 Nov 2022 · 19 min · deeplearningnlpsurvey
RecSys 2021 - Papers and Talks to Chew on
Simple baselines, ideas, tech stacks, and packages to try.
03 Oct 2021 · 5 min · recsysdeeplearningproductionsurvey
RecSys 2020: Takeaways and Notable Papers
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
27 Sep 2020 · 16 min · recsysdeeplearningproductionsurvey
NLP for Supervised Learning - A Brief Survey
Examining the broad strokes of NLP progress and comparing between models
16 Aug 2020 · 23 min · nlpdeeplearningsurvey
My Notes From Spark+AI Summit 2020 (Application-Specific Talks)
Part II of the previous write-up, this time on applications and frameworks of Spark in production
05 Jul 2020 · 15 min · machinelearningdeeplearningproductionsurvey
My Notes From Spark+AI Summit 2020 (Application-Agnostic Talks)
Sharing my notes & practical knowledge from the conference for people who don't have the time.
28 Jun 2020 · 11 min · machinelearningdeeplearningsurvey
Serendipity: Accuracy’s Unpopular Best Friend in Recommenders
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
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