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Sumit's Diary
Personal blog · blog.reachsumit.comaidataprogramming
Sumit's Diary is a personal blog at blog.reachsumit.com about ai, data and programming. Since 2021, 6 different Hacker News readers have linked it 9 times, most often “Prompting-Based Methods for Text Ranking Using Large Language Models”. It is still writing: the last post was on 2025-10-05, and you can follow it by feed.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
Linked as the personal blog of someone who writes literature reviews in information retrieval, covering recommender systems and search and ranking. The only comment describes the topics and gives no judgement of the writing.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Welcome to my blog!
Most-linked posts?
- Prompting-Based Methods for Text Ranking Using Large Language Models2 people · 2 mentions · first linked 2023-12-20
What Hacker News says?
I do literature reviews for Information Retrieval domain (Recommender Systems, Search and Ranking, etc.). https://blog.reachsumit.com/
Comment linking /
on “Ask HN: Could you share your personal blog here?”Submitted Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4 as a story · 2 points
HN discussionSubmitted How Twitter Reduced Search Indexing Latency to One Second as a story · 2 points
HN discussionSubmitted Understanding the Sliding Window Pattern as a story · 2 points
HN discussionSubmitted Strategies for Effective and Efficient Text Ranking Using Large Language Models as a story · 1 points
HN discussionSubmitted Prompting-Based Methods for Text Ranking Using Large Language Models as a story · 1 points
HN discussionSubmitted Prompting-Based Methods for Text Ranking Using Large Language Models as a story · 1 points
HN discussionSubmitted Specialized Deep Learning Architectures for Time Series Forecasting as a story · 1 points
HN discussionSubmitted Zero and Few Shot Text Retrieval and Ranking Using Large Language Models as a story · 1 points
HN discussion