Jay Shah
Jay Shah
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Instruction Tuning, Prompt Engineering, & Self Improving LLMs | Dr. Swaroop MishraInstruction Tuning, Prompt Engineering, & Self Improving LLMs | Dr. Swaroop Mishra
Instruction Tuning, Prompt Engineering, & Self Improving LLMs | Dr. Swaroop Mishra
zhlédnutí 1,6KPřed 23 dny
Swaroop is a research scientist at Google-Deepmind, working on improving Gemini. His research expertise includes instruction tuning and different prompt engineering techniques to improve reasoning and generalization performance in large language models (LLMs) and tackle induced biases in training. Before joining DeepMind, Swaroop graduated from Arizona State University, where his research focus...
Role of Large Language Models in AI-driven medical research | Dr. Imon BanerjeeRole of Large Language Models in AI-driven medical research | Dr. Imon Banerjee
Role of Large Language Models in AI-driven medical research | Dr. Imon Banerjee
zhlédnutí 545Před 3 měsíci
Dr. Imon Banerjee is an Associate Professor at Mayo Clinic in Arizona, working at the intersection of AI and healthcare research. Her research focuses on multi-modality fusion, mitigating bias in AI models specifically in the context of medical applications & more broadly building predictive models using different data sources. Before joining the Mayo Clinic, she was at Emory University as an A...
How Google Maps uses AI to improve travel time predictionsHow Google Maps uses AI to improve travel time predictions
How Google Maps uses AI to improve travel time predictions
zhlédnutí 198Před 8 měsíci
Full conversation with Peter: czcams.com/video/oNEE7jKYjc4/video.html Dr. Petar Veličković is a Staff Research Scientist at Googe DeepMind and an Affiliated lecturer at University of Cambridge. He is known for his research contributions in graph representation learning; particularly graph neural networks and graph attention networks. At DeepMind, he has been working on Neural Algorithmic Reason...
Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar VeličkovićAlgorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
zhlédnutí 1,7KPřed 9 měsíci
Dr. Petar Veličković is a Staff Research Scientist at Googe DeepMind and an Affiliated lecturer at University of Cambridge. He is known for his research contributions in graph representation learning; particularly graph neural networks and graph attention networks. At DeepMind, he has been working on Neural Algorithmic Reasoning which we talk about more in this podcast. Petar’s research has fea...
Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou YangCombining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang
Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang
zhlédnutí 892Před 9 měsíci
Dr. Yezhou Yang is an Associate Professor at Arizona State University and director of Active Perception Group at ASU. He has research interests in Cognitive Robotics and Computer Vision, and understanding human actions from visual input, and grounding them by natural language. Prior to joining ASU, he completed his PhD from University of Maryland and his postdoctoral at Computer Vision Lab and ...
Risks of AI in real-world and towards Building Robust Security measures | Hyrum AndersonRisks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson
Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson
zhlédnutí 267Před rokem
Dr Hyrum Anderson is a Distinguished Machine Learning Engineer at Robust Intelligence. Prior to that he was Principal Architect of Trustworthy Machine Learning at Microsoft where he also founded Microsoft’s AI Red Team; he also led security research at MIT Lincoln Laboratory, Sandia National Laboratories, Mendiant and was Chief Scientist at Endgame (later acquired by Elastic). He’s also the co-...
Being aware of Systematic Biases and Over-trust in AI | Meredith BroussardBeing aware of Systematic Biases and Over-trust in AI | Meredith Broussard
Being aware of Systematic Biases and Over-trust in AI | Meredith Broussard
zhlédnutí 224Před rokem
Meredith is an associate professor at New York University and research director at the NYU Alliance for Public Interest Technology. Her research interests include using data analysis for good and ethical AI. She is also the author of the book “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and we will discuss more about this with her in this podcast. Time stamps of the ...
Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David StutzWorking at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz
Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz
zhlédnutí 11KPřed rokem
Part-2 of my podcast with David Stutz. (Part-1: czcams.com/video/J7hzMYUcfto/video.html) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind he was a PhD student at Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to ...
Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan SaleNegotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale
Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale
zhlédnutí 739Před rokem
Rora helps top AI researchers and professionals negotiate their pay often as they transition from academia into industry. Moving into tech is a huge transition for many PhDs and post-docs the pay is much more significant and the terms of employment are often quite different. In the past 5 years, the Rora team has helped over 1000 STEM professionals negotiate more than $10M in additional earning...
Part-1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David StutzPart-1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz
Part-1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz
zhlédnutí 949Před rokem
Part-1 of my podcast with David Stutz. (Part-2: czcams.com/video/IumJcB7bE20/video.html) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind he was a PhD student at Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to ...
Promises and Lies of ChatGPT - understanding how it works | Subbarao KambhampatiPromises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati
Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati
zhlédnutí 1,8KPřed rokem
Dr. Subbarao Kambhampati is a Professor of Computer Science at Arizona State University and the director of the Yochan lab where his research focuses on decision-making and planning, specifically in the context of human-aware AI systems. He has been named fellow of AAAI, AAAS, and ACM in recognition of his research contributions and also received distinguished alumnus award from the University ...

Komentáře

  • @yadavadvait
    @yadavadvait Před 7 dny

    great podcast! swaroop had some really good insights.

  • @rischiraj786
    @rischiraj786 Před 22 dny

    Clear explanation as 5th standard person can understand

  • @PrabinKumarRath-kf1rv

    LLMs LLMs.... KIDS, KIDS 👀

  • @saliexplore3094
    @saliexplore3094 Před 23 dny

    I love how Swaroop uses analogies to convey ideas. I wonder if that’s also his strategy for developing understanding of abstract concepts :)

  • @aliasjon8320
    @aliasjon8320 Před měsícem

    Bookmark

  • @aliasjon8320
    @aliasjon8320 Před měsícem

    Bookmark: 28:58

  • @aliasjon8320
    @aliasjon8320 Před měsícem

    Google later: 1:37:44

  • @rasmienalenka5956
    @rasmienalenka5956 Před měsícem

    So effective ❤

  • @aniketbhanderi5927
    @aniketbhanderi5927 Před měsícem

    I am ML researcher, your podcasts inspires me a lot and are very informative. Thankyou for sharing

  • @saliexplore3094
    @saliexplore3094 Před 2 měsíci

    Petar is very humble and fun to listen to. Also, some really valuable tips for early-career researchers!

  • @flueepwrien6587
    @flueepwrien6587 Před 3 měsíci

    its funny how the most videos technically informative videos are so least sought after. The beginer stuff is popular the actually rewarding expert stuff is not.

  • @sagarhande1891
    @sagarhande1891 Před 3 měsíci

    video aacha he but add kaam daal bhai

  • @shrikarmadhu2776
    @shrikarmadhu2776 Před 3 měsíci

    As someone’s who is also researching from IISc on multi modal research in healthcare specifically treating post operative patients recovery, really loved this episode. As always you keep bringing such great content & researchers on your pod with some really interesting insights 😇✨

  • @swatirajwal
    @swatirajwal Před 3 měsíci

    one of the most techincally sound podcast!

  • @user-yq9zm1us3b
    @user-yq9zm1us3b Před 3 měsíci

    Is Nvidia pays well to PM role .

  • @ashwiniashtankar1044
    @ashwiniashtankar1044 Před 3 měsíci

    Great podcast! I am forever going to stick with - "You don't have to keep working on your weaknesses all the time. Just let your Strengths shine!"

  • @suri4Musiq
    @suri4Musiq Před 5 měsíci

    Renee is really articulate and amazing suggestions and thoughts. Loved the episode!

  • @DistortedV12
    @DistortedV12 Před 5 měsíci

    Natasha is great man!

  • @peakyblinderzz
    @peakyblinderzz Před 6 měsíci

    The resume architect who assisted millions in crafting their resumes.

  • @akmaurya07
    @akmaurya07 Před 6 měsíci

    This is great session, kudos Jay and Amey for putting this together :)

  • @_Harsh_Yadav
    @_Harsh_Yadav Před 7 měsíci

    Being a master's student of Computer Science, I really enjoyed the podcast and learnt a lot while watching it. Thankyou Jay and David, for this amazing podcast and your time!

  • @CTRLALTDUDLEY
    @CTRLALTDUDLEY Před 7 měsíci

    Heyyy it's Rao! My original grad advisor :). Working at Google now, and I attribute so much of my interest in grand concepts to the conversations that happened every day in that lab. This seems like yesterday czcams.com/video/LHCnyAT3wx4/video.html

  • @user-vn6nu2bt1u
    @user-vn6nu2bt1u Před 8 měsíci

    Very informative session. Thanks a lot for arranging this discussion

  • @eprohoda
    @eprohoda Před 8 měsíci

    you uploaded to pupload-Jay!😉

  • @Anna_Swamy_Nageshwar
    @Anna_Swamy_Nageshwar Před 8 měsíci

    ABC of democracy is that the guys who has power should not exercise the power and the guys exercise the power should not have power.

  • @Anna_Swamy_Nageshwar
    @Anna_Swamy_Nageshwar Před 8 měsíci

    what a beautiful talk.

  • @snehavardhankandregula5926
    @snehavardhankandregula5926 Před 8 měsíci

    Great video. Recently I got shortlisted for a Google interview for the Software Engineer (ML) role. In my experience I never used DSA, but I know a few concepts that literally never used. Can anyone suggest to me a course, and resources needed. Happy to connect!

  • @jjwilson6434
    @jjwilson6434 Před 9 měsíci

    I am fortunate enough to have some personal interactions with Petar and always find what he says very inspiring and useful. It's always lovely to hear these fruitful conversation.

  • @pappu10714
    @pappu10714 Před 9 měsíci

    very insightful. love from india.

  • @AIBrewingWithNik
    @AIBrewingWithNik Před 9 měsíci

    Major Takeaway: You cannot wait to talk about your research and present to others. That's why you want results, performance, paper, publication and acceptance. Its how you enjoy the process of Research. <3

  • @AIBrewingWithNik
    @AIBrewingWithNik Před 9 měsíci

    I like the podcast topics and personalities you invite to your channel. Showing interest from Toronto - Uni of Toronto - Research Scientist - AI Lab

  • @MoTopiwala
    @MoTopiwala Před 9 měsíci

    Excited to listen to this conversation! I've attended Prof. Yang's course before and I adore his humble demeanor

  • @samprasdsouza6993
    @samprasdsouza6993 Před rokem

    great work

  • @krish-dev
    @krish-dev Před rokem

    Cool Jay, how do you network with type of peoples ? I'm from india, and looking for remote jobs, it would be really great if provide more info on that! Thanks

  • @ItsSid66
    @ItsSid66 Před rokem

    Leave it to Subbarao Kambhampati to explain things in a very accessible way. He has not lost form in the last few decades or so of teaching AI and been making AI intuition accessible to ordinary people through these forums. I hope he can continue doing this.

  • @marcusreynolds226
    @marcusreynolds226 Před rokem

    "Promo sm" 😭

  • @ratan6246
    @ratan6246 Před rokem

    Thats such an informative session 🎉

  • @karnaghose4784
    @karnaghose4784 Před rokem

    They're combining Brain and Deep Mind into Google Deep Mind, right?

  • @saliexplore3094
    @saliexplore3094 Před rokem

    Perfect timing! Thanks Jay.

  • @alokshah8977
    @alokshah8977 Před rokem

    Superb Content

  • @bytesizedbraincog
    @bytesizedbraincog Před rokem

    The aspect of Human memory - non verdical memory - he has given an amazing point, as we compare neural network and brain on neurons level, there is so much to do in memory side as well, I was thinking in the side of "lossy compression" of human beings - how it creates impact - These podcasts, I hear whenever I go for a walk, I have heard hours and hours of podcasts, but only certain aspects I record sticks to my mind, otherwise its a nice fluid of information that I can resonate. I think it puts a another factor on creators to make it "lossless compression" to listeners.

  • @summergautier5608
    @summergautier5608 Před rokem

    This is a VERY insightful video! Definitely Subscribed.

  • @viktoriiaoliinyk6781

    Amazing interview!

  • @hannakuss8209
    @hannakuss8209 Před rokem

    We collaborate with Karyna and Label Your Data team project basis. They’re very professional 👌

  • @MrKaktopox
    @MrKaktopox Před rokem

    1:07:16 great advice, awesome interview overall 👏

  • @daria345
    @daria345 Před rokem

    Thanks a lot for the interview. Great role model.

  • @namratachilwant581
    @namratachilwant581 Před rokem

    This could have been very good podcast if audio was better

  • @namratachilwant581
    @namratachilwant581 Před rokem

    Thank you for this interview jay. Surabhi was very insightful and explained very well. Even i as newbee understood lot of things.😊

  • @greenshadowooo
    @greenshadowooo Před rokem

    Thanks for your sharing!!

  • @prakharsaxena6501
    @prakharsaxena6501 Před rokem

    Hey there! I'm reaching out for some advice on PhD. admissions. I completed my BTech from a college that may not be well-regarded ( it's affiliated to AKTU ), and I had to learn everything on my own from open-source materials provided by renowned institutions like MIT, Stanford, IITs, books, and more. Despite the challenges, I secured a good rank in GATE, which would allow me to pursue my MTech from an older IIT, like IIT Guwahati. My plan is to work for a few years to pay off some family loans before applying to PhD. programs in the USA. However, I'm concerned if my undergraduate degree with a 9.0 CGPA would hinder my chances of getting into reputable PhD. schools in the USA. Your guidance would be greatly appreciated! Thanks in advance.

    • @Jay-Shah
      @Jay-Shah Před rokem

      Hey! Can we connect on LinkedIn or email jgshah1@asu.edu to continue the conversation?