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Meet LLMs Expert at NVIDIA! Ft. Jay Rodge!
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NVIDIA AI Summit coming: Use code INFHSINGH to get 20% off
00:00 Intro
00:33 Jay's Introduction
02:57 Career goals in NVidia
04:29 How did you figure out your passion for LLM?
06:06 3 biggest things you have learned in NVidia in AI space
07:48 Problems and their solutions in the current scenario
09:31 Difference between machine learning before V/S now
11:38 Explanation of NIMS
17:35 Impact of NIMS on the future of companies
19:42 NEMO and its impacts on developers
22:19 How NEMO helps in existing models?
26:03 What skills you would like to see in 20-year-old engineers?
28:50 What projects you would like to see in their resumes?
29:27 What would you build if you were in their place?
30:27 How you got good in LLMs?
31:54 Most impactful works in the field of LLMs
32:54 Future of LLMs
37:47 Future of Process Driven Development
39:57 Hacks/ways to reduce the cost per token
40:36 Security threats in building, using, and inferencing an LLM
43:05 NVidia conference coming up in India
My Gear:-
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MUSIC CREDITS:
00:00 Intro
00:33 Jay's Introduction
02:57 Career goals in NVidia
04:29 How did you figure out your passion for LLM?
06:06 3 biggest things you have learned in NVidia in AI space
07:48 Problems and their solutions in the current scenario
09:31 Difference between machine learning before V/S now
11:38 Explanation of NIMS
17:35 Impact of NIMS on the future of companies
19:42 NEMO and its impacts on developers
22:19 How NEMO helps in existing models?
26:03 What skills you would like to see in 20-year-old engineers?
28:50 What projects you would like to see in their resumes?
29:27 What would you build if you were in their place?
30:27 How you got good in LLMs?
31:54 Most impactful works in the field of LLMs
32:54 Future of LLMs
37:47 Future of Process Driven Development
39:57 Hacks/ways to reduce the cost per token
40:36 Security threats in building, using, and inferencing an LLM
43:05 NVidia conference coming up in India
My Gear:-
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Follow me on -
MUSIC CREDITS:
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