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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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Building LLM Apps & the Challenges that come with it. The What's AI Podcast Episode 16: Jay Alammar

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Manage episode 372142543 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.

My interview with Jay Alammar, widely known inthe AI and NLP field mainly through his great blog on transformers and attention.

►Watch on YouTube: https://youtu.be/TO0IV9e2MMQ

►LLM University: https://docs.cohere.com/docs/llmu

►Jay's blog: http://jalammar.github.io/illustrated-transformer/

►Twitter: https://twitter.com/JayAlammar, 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 How to start in AI/ML - A Complete Guide: ►https://www.louisbouchard.ai/learnai/ Become a member of the YouTube community, support my work and get a cool Discord role : https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join

Chapters:

0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.

00:43 Introduction of Jay Alammar

04:00 Why Jay got into AI 8 years ago?

08:07 Why teach after learning

16:12 What is a Transformer?

21:03 What the blocks are made of and how they work?

26:27 Training steps of LLM explained in simple words

39:31 Re-rank Systems

41:47 How to know that your problem can be solved by LLM?

45:31 Chatbot on private or proprietary data

47:10 Challenges with AI Apps

50:51 The requirement to create AI apps

56:11 Mitigate model hallucination from your side

59:05 How does ChatGPT work with any language you type in?

01:02:56 AI evolution in next few years

01:05:38 Jay wants AI to be able to do this

01:08:10 AI apps used by Jay

01:10:10 Projects of Jay

  continue reading

39 episodios

Artwork
iconCompartir
 
Manage episode 372142543 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.

My interview with Jay Alammar, widely known inthe AI and NLP field mainly through his great blog on transformers and attention.

►Watch on YouTube: https://youtu.be/TO0IV9e2MMQ

►LLM University: https://docs.cohere.com/docs/llmu

►Jay's blog: http://jalammar.github.io/illustrated-transformer/

►Twitter: https://twitter.com/JayAlammar, 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 How to start in AI/ML - A Complete Guide: ►https://www.louisbouchard.ai/learnai/ Become a member of the YouTube community, support my work and get a cool Discord role : https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join

Chapters:

0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.

00:43 Introduction of Jay Alammar

04:00 Why Jay got into AI 8 years ago?

08:07 Why teach after learning

16:12 What is a Transformer?

21:03 What the blocks are made of and how they work?

26:27 Training steps of LLM explained in simple words

39:31 Re-rank Systems

41:47 How to know that your problem can be solved by LLM?

45:31 Chatbot on private or proprietary data

47:10 Challenges with AI Apps

50:51 The requirement to create AI apps

56:11 Mitigate model hallucination from your side

59:05 How does ChatGPT work with any language you type in?

01:02:56 AI evolution in next few years

01:05:38 Jay wants AI to be able to do this

01:08:10 AI apps used by Jay

01:10:10 Projects of Jay

  continue reading

39 episodios

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