Proud to announce that my research paper on "Using medical ADT data to predict hospital readmissions" has been published in Elsevier/ScienceDirect Journal - MLWA. Feedbacks are welcome.
https://t.co/XLIUr54ta6
#AI#MachineLearning#DataScience#BigData#healthcare#MLOps
🎙️ DTM podcast: Join me & @raodyboy, co-founder of @SpecialeInvest, as we dive deep into VC firm structure, essential skills for VCs, networking's power, & the future of VC & deep tech startups! 🚀
Listen or read the summary here - https://t.co/UbNoEA41kT
#deeptech#VC#india
Whenever you see such scenes: always ask-- where is your tax money going?
While the common people play musical chairs to get a seat. And, continue to pay unfair taxes.
The Rich benefit from easy debt. And, corporate loans waivers (which have now reached 10 Lakh crores in the last 5 years).
#DTM Podcast: Unlock the insights behind @piventures success: Founding story, investment focus, deep tech themes for the future, and more. Learn from one of the best minds in Deep Tech @manish_saarthi.
Listen or read here - https://t.co/pbWGUyflxm
#AI#Angels#podcast
#DTM Podcast🎙️Uncover insights into @robmay's 20-year content success, the rise of synthetic users, horizontal LLMs & future of OpenAI, achieving "Agent-Market Fit", and AI's impact on competitive advantage.
Listen or read here - https://t.co/HGLYwf8WCU
#AI#Podcast
#DTM Podcast: Avnish is driving startup success at
@Accenture Ventures. With 30yrs of exp, he shares his strategies for jumping career S-curves, forming partnerships with large corporations, fostering innovation & capitalizing on GenAI.
Read or listen- https://t.co/kQRTzMZvKU
@peakxvpartners@RajanAnandan Indian Deep Tech Startup ecosystem is certainly coming of age and is a strong force pushing the economy forward! Capturing insights from several deep tech ecosystem enablers on my podcast 'Deep Tech Musings' here- https://t.co/F3F6NFD5dx.
#DTM#Podcast🚀 Sonal, VP at @3one4Capital is driving exponential growth by partnering with generational companies & transforming markets. Join us as we explore startup success, deep tech, investment strategies, and more!🌟
Listen or read summary here - https://t.co/M5AAmRgVvJ
Thanks for putting forward this viewpoint so succinctly. I have captured similar thoughts in detail on the 3 levels of utilizing open-source LLMs here- https://t.co/WqB8fqotpT.
I don't include pertaining as a level because LLM computing costs need to come down a lot for that to be beneficial for enterprises, but I hope that day comes soon!
In addition to prompting LLMs, many developers are now also experimenting with fine-tuning. I describe in The Batch how to choose from the growing menu of options for building applications with LLMs: Prompting, few-shot, fine-tuning, pre-training. https://t.co/NgPg0snzNt
This seems to be written in good faith, so I'll provide (one) Indian VC's perspective.
The most salient fact about India venture is the extreme scarcity of late-stage capital providers*. You can count on the fingers of one hand funds who can write a $30M cheque on their own. 1/
Three ingredients to a great B2B startup idea:
1. You solve a problem that is important to people
2. Existing solutions are doing a subpar job of solving the problem
3. You’re excited about solving this problem
More below.
🎙️#DTM New Episode🎙️
Join me as I chat with Ankit, founder of ZedBee (incubated at @iitm_respark), an energy management startup using IoT & AI/ML.
Get insights on pre-seed funding, idea validation, & building startup moats!
Listen or read summary here - https://t.co/C6P799IxFl
Use cases for encoder LLMs (classification) & decoder LLMs (chatbots) are obvious.
Seq2seq tasks like translation, where it makes sense to have access to the whole input, is where it gets interesting.
Re encoder-decoder LLMs (eg T5): Is there still a benefit of using an encoder?
2nd SWP (Systematic Withdrawal Plan) thread on conservative withdrawal.
Lumpsum: 1 Cr & 50 Lakh
Time Frame: 12yrs
Withdrawal %: 6%
Assumption: have own house, kids are settled & they are moving partial savings in SWP.
I am picking funds randomly. No Discrimination.
Lets go⤵️
@lulumeservey@ChrisMancil Congrats! Podcasting is powerful, I have heard few similar stories from my podcast guests as well. Makes the journey worthwhile! - https://t.co/F3F6NFD5dx
Finally got a chance to spend some time with the 77-page Llama 2 paper (https://t.co/KNRiVzVJ0J). Here are some takeaways at a glance.
Appreciate that someone finally did a comprehensive supervised finetuning vs RLHF evaluation! (Lower right)
🎉 We've hit the big 50!
Join us for this special 50th episode of DTM podcast with the OG of Indian Deep-Tech, @arpiit from @BlumeVentures as we explore the history, challenges, and future of Deep-Tech in India.
Listen or read the summary here - https://t.co/HjP2AxZ5hP