Mudit Bachhawat @muditbac
ML @google / @iitkgp / I tweet about math, machines and money / https://t.co/k8S4xOn1NO Bengaluru, India Joined January 2013-
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for domain specific agentic flows, SLM >> LLM - reduces cost and latency - agents need only a narrow subset of an LLM's capabilities with strict output format arxiv.org/pdf/2506.02153 krasserm.github.io/2024/05/31/pla…
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Mudit Bachhawat retweeted
I’ll add a few other random thoughts - specialized re-rankers are going away -more interest in max sim functions for candidate retrieval - more interest in learned sparse reps - bm25 is a baseline - models that can output multiple reps in a single inference (eg m3) -…
I’ll add a few other random thoughts - specialized re-rankers are going away -more interest in max sim functions for candidate retrieval - more interest in learned sparse reps - bm25 is a baseline - models that can output multiple reps in a single inference (eg m3) -… https://t.co/k0vm5j9EYx
very interesting take on future with AI shyamal.me/blog/age-of-ta…
good read to understand the spectrum of content discovery system. search, recommendation and everything in between medium.com/understanding-…
finetuning and LoRA causes catastrophic forgetting. context tuning methods like prefix tuning cannot learn new attention patterns. this might be features as it won't loose pretrained knowledge in the model. arxiv.org/html/2310.1969…
Good summary on training new generation of dense retrieval models. ethen8181.github.io/machine-learni…
Mudit Bachhawat retweeted
Stocks don’t hit major peaks and bottoms every month, quarter or year rather once in a decade. For example (data from 2014-2024)- 1- Tata Motors- 2015- 587 2020- 65 2024- 1066 (so far) 2- Kotak Mahindra Bank 2014- 336 2021- 2171 2024- 1544…
Mudit Bachhawat retweeted
50+ things AI Engineers should know about search What am I missing? softwaredoug.com/blog/2024/06/2…
Transforming myself to a memer. One meme at a time.
Super simple implementation of a vectordb. Looking for few folks to build this more as a side project. Code: github.com/muditbac/tinyv… Blog: muditb.com/creating-a-tin…
Mudit Bachhawat retweeted
re: finetuning LLMs 0/ you don't always need it. try everything else first. 1/ lot of data + limited compute -> go for PEFT 2/ limited data + lot of compute -> full fine-tuning 3/ limited data + limited compute -> `import openai` ;)
Mudit Bachhawat retweeted
Steve Jobs sent himself this email in 2010.
A Little Architecture: blog.cleancoder.com/uncle-bob/2016… I read this few years ago. Still the best thing I have read on software architecture. Wondering how this would translates to software 2.0
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