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Lakshay Chauhan Profile
Lakshay Chauhan

@lakshay2001

Followers
248
Following
798
Media
1
Statuses
173

Co-founder @ https://t.co/oIFrbH7cd9. Building AI assistant for finance.

Seattle, WA
Joined November 2009
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@lakshay2001
Lakshay Chauhan
5 years
How can deep learning improve systematic investing? Check out our first post in the series https://t.co/Bz9s9DD8tq @JohnAlberg
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@MadronaVentures
Madrona
2 years
We're excited to announce our investment in Finpilot, a game-changing #AI product poised to reimagine the financial analyst’s journey. Join us in welcoming Co-founder @lakshay2001 to the Madrona family & Co-founder @JohnAlberg back to the Madrona family! https://t.co/my2rfkmhrb
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madrona.com
Madrona is thrilled to announce our investment in Finpilot, a revolutionary AI product designed to serve as the copilot for financial analysts.
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@MadronaVL
Madrona Venture Labs
2 years
Finpilot Co-Founder & CEO @lakshay2001 is on a mission to transform the finance and investment industry by creating an AI copilot for professionals. Are you interested in elevating analysts to new heights of efficiency and insight? If so, Finpilot is now hiring the following
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@trengriffin
Tren Griffin
2 years
"Finpilot is an AI copilot for finance." "All answers and numerical values can be traced back to the original sources with a single click." https://t.co/zYfcRFSAGQ
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@alphaarchitect
Wes Gray 🇺🇸
2 years
an interesting application of ML in the context of fundamental value investing.
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@kirbywinfield
☔🔥☔
2 years
OK Seattle - #FoundersBash 2023 registration is open! Last year we had 400 founders in the bldg to chill w @djtopspin vibes, good food and zero content or salespeople :-) Remember, FOUNDERS ONLY. We're checking. (VC friends DM for access) https://t.co/5Iu8JV1mhu
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eventbrite.com
Get ready to party at the annual Seattle Founders Bash - the ultimate celebration for Founders hosted by Ascend, supported by AWS!
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@JohnAlberg
John Alberg
3 years
Euclidean Technologies is pleased to announce the launch of the Euclidean Fundamental Value ETF, a systematic strategy that leverages advancements in machine learning to manage a concentrated portfolio of undervalued U.S. stocks. Read Press Release Here: https://t.co/LAmi2IhAlM
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@neurosp1ke
Andreas Köpf
3 years
🚀 StableLM scaling suite by @StabilityAI in the making - first 7B model available! ❤️ https://t.co/YnHVDxIMCD
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@lakshay2001
Lakshay Chauhan
3 years
I agree. Customizing models to a multitude of tasks for enterprises will be important. That is more easily done with smaller models that extremely large models.
@matei_zaharia
Matei Zaharia
3 years
Enjoyed this discussion with @saranormous and @eladgil. My view is that *small/affordable* models, connected to enterprise data, will give the best results long term. You don't want your model to fuzzily memorize lots of info in an enterprise setting!
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@maithra_raghu
Maithra Raghu
3 years
Does One Large Model Rule Them All? https://t.co/bs9C8Z6m41 New post with @matei_zaharia and @ericschmidt on the future of the AI ecosystem. Our key question: does the rise of large, general AI models means the future AI ecosystem is dominated by a single general model? ⬇️
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@natolambert
Nathan Lambert
3 years
Not a lot of people sharing engineering details for training large models in public, cheers @susanzhang for the great talk on engineering details of training OPT. And as everyone is, OPT team now pushing data quality goals even further. https://t.co/5932kmJnx5
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@JohnAlberg
John Alberg
3 years
Euclidean 2022 Annual Letter: What does machine learning bring to the table that has not been uncovered by decades of research on quantitative investing? https://t.co/MhERxQp3l0
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@JohnAlberg
John Alberg
3 years
What does machine learning bring to the table that has not been uncovered by decades of research on quantitative methods of equity investing?
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@lakshay2001
Lakshay Chauhan
3 years
Join us at the Eastside AI, ML & IoT meetup today at 5:30 PM PT @MSFTReactor where I talk about ML and quantitative investing. @jimbobbennett Streaming Link: https://t.co/g3QFvDwHp2 https://t.co/ayZOegh5Jd
@jimbobbennett
Jim Bennett
3 years
Want to learn about using ML for quantitative investing? Join us as we learn from @lakshay2001! Join the Eastside AI, ML & IoT meetup, 22nd Feb, 5:30pm at the @MSFTReactor in Redmond, and online. Streaming link will be in the meetup shortly. https://t.co/aGolx3NDiy
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@ShayneRedford
Shayne Longpre ✈️ @NeurIPS 2025
3 years
🔭 How to reduce #LLM generation toxicity/bias? I'm surprised this finding hasn't received any attention: Instruction Tuning (e.g. Flan, T0) reduces toxic generations A LOT ✨ w/o any Human Feedback ✨. ➡️ I.e. #ChatGPT-esque Human values alignment w/o human feedback. 1/
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@jimbobbennett
Jim Bennett
3 years
Want to learn about using ML for quantitative investing? Join us as we learn from @lakshay2001! Join the Eastside AI, ML & IoT meetup, 22nd Feb, 5:30pm at the @MSFTReactor in Redmond, and online. Streaming link will be in the meetup shortly. https://t.co/aGolx3NDiy
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@ykilcher
Yannic Kilcher 🇸🇨
3 years
It's surprisingly fun to collect data for OpenAssistant - Our open-source alternative to ChatGPT! Check out the video: https://t.co/Q0ZaezzjPs #openassistant #chatgpt
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@JohnAlberg
John Alberg
4 years
Inflation: Oil, gold, crypto, etc? However, 100 YEARS of hard data shows that buying cheap stocks is a very effective inflation hedge. https://t.co/4F5FqqHGJy
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wsj.com
Bitcoin, gold and oil are all having a moment as inflation fears rise, but the best haven for ordinary investors might be long-neglected value stocks.
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