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Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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The Evolution of AI, Large Language Models & Finding the Right Balance Between Research and Application - What's AI Episode 14

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Manage episode 372142545 series 3496315
Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This new episode features Felix Tao, CEO of Mindverse AI, and his years of experience working as a researcher at Facebook and Alibaba, mostly involved in language applications and AI. In this interview, Felix gives his insights on the evolution of AI, large language models, and finding the right balance between research and application. ►Felix Tao: https://www.linkedin.com/in/felix-tao-96456623/

►Mindverse AI: https://www.mindverse.ai/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

►Support me on Patreon: https://www.patreon.com/whatsai

►Join Our AI Discord: https://discord.gg/learnaitogether

Chapters:

00:00:06 Intro

00:00:35 Introduction of Felix Tao

00:01:57 Is Ph.D. still worth it?

00:03:52 Is the research path still relevant?

00:07:36 Future of Ph.D. in A.I.

00:09:26 Work at Facebook

00:14:35 Waking up of A.I. consciousness

00:21:56 Future of Large Language Models in specific tasks

00:27:51 Aim of Mindverse with MindOs

00:31:59 Mindverse's take on mitigating the risk of hallucinations

00:38:04 Is hallucination-free output possible?

00:39:58 Tough challenge faced by Mindverse

00:45:38 Improve your work using Mindverse and MindOs

00:53:48 The thing A.I. need to have in future

00:55:56 Upcoming challenges in A.I.

00:58:04; A.I. in next five years

01:00:01 Can ChatGTP improve further?

  continue reading

39 episodios

Artwork
iconCompartir
 
Manage episode 372142545 series 3496315
Contenido proporcionado por Louis-François Bouchard. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Louis-François Bouchard o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This new episode features Felix Tao, CEO of Mindverse AI, and his years of experience working as a researcher at Facebook and Alibaba, mostly involved in language applications and AI. In this interview, Felix gives his insights on the evolution of AI, large language models, and finding the right balance between research and application. ►Felix Tao: https://www.linkedin.com/in/felix-tao-96456623/

►Mindverse AI: https://www.mindverse.ai/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

►Support me on Patreon: https://www.patreon.com/whatsai

►Join Our AI Discord: https://discord.gg/learnaitogether

Chapters:

00:00:06 Intro

00:00:35 Introduction of Felix Tao

00:01:57 Is Ph.D. still worth it?

00:03:52 Is the research path still relevant?

00:07:36 Future of Ph.D. in A.I.

00:09:26 Work at Facebook

00:14:35 Waking up of A.I. consciousness

00:21:56 Future of Large Language Models in specific tasks

00:27:51 Aim of Mindverse with MindOs

00:31:59 Mindverse's take on mitigating the risk of hallucinations

00:38:04 Is hallucination-free output possible?

00:39:58 Tough challenge faced by Mindverse

00:45:38 Improve your work using Mindverse and MindOs

00:53:48 The thing A.I. need to have in future

00:55:56 Upcoming challenges in A.I.

00:58:04; A.I. in next five years

01:00:01 Can ChatGTP improve further?

  continue reading

39 episodios

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