Artwork

Innhold levert av Lukas Biewald. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lukas Biewald eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex

57:35
 
Del
 

Manage episode 393547135 series 3011550
Innhold levert av Lukas Biewald. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lukas Biewald eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu, CEO of LlamaIndex. Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies, addressing challenges in data retrieval, analysis, and conversational memory. We also delve into the future of AI-driven systems and LlamaIndex's role in this rapidly evolving field. This episode is a must-watch for anyone interested in AI, data science, and the future of technology.

Timestamps:

0:00 - Introduction

4:46 - Differentiating LlamaIndex in the AI framework ecosystem.

9:00 - Discussing data analysis, search, and retrieval applications.

14:17 - Exploring Retrieval Augmented Generation (RAG) and vector databases.

19:33 - Implementing and optimizing One Bot in Discord.

24:19 - Developing and evaluating datasets for AI systems.

28:00 - Community contributions and the growth of LlamaIndex.

34:34 - Discussing embedding models and the use of vector databases.

39:33 - Addressing AI model hallucinations and fine-tuning.

44:51 - Text extraction applications and agent-based systems in AI.

49:25 - Community contributions to LlamaIndex and managing refactors.

52:00 - Interactions with big tech's corpus and AI context length.

54:59 - Final thoughts on underrated aspects of ML and challenges in AI.

Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.

Connect with Jerry:

https://twitter.com/jerryjliu0

https://www.linkedin.com/in/jerry-liu-64390071/

Follow Weights & Biases:

YouTube: http://wandb.me/youtube

Twitter: https://twitter.com/weights_biases

LinkedIn: https://www.linkedin.com/company/wandb

Join the Weights & Biases Discord Server:

https://discord.gg/CkZKRNnaf3

#OCR #DeepLearning #AI #Modeling #ML

  continue reading

104 episoder

Artwork
iconDel
 
Manage episode 393547135 series 3011550
Innhold levert av Lukas Biewald. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lukas Biewald eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu, CEO of LlamaIndex. Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies, addressing challenges in data retrieval, analysis, and conversational memory. We also delve into the future of AI-driven systems and LlamaIndex's role in this rapidly evolving field. This episode is a must-watch for anyone interested in AI, data science, and the future of technology.

Timestamps:

0:00 - Introduction

4:46 - Differentiating LlamaIndex in the AI framework ecosystem.

9:00 - Discussing data analysis, search, and retrieval applications.

14:17 - Exploring Retrieval Augmented Generation (RAG) and vector databases.

19:33 - Implementing and optimizing One Bot in Discord.

24:19 - Developing and evaluating datasets for AI systems.

28:00 - Community contributions and the growth of LlamaIndex.

34:34 - Discussing embedding models and the use of vector databases.

39:33 - Addressing AI model hallucinations and fine-tuning.

44:51 - Text extraction applications and agent-based systems in AI.

49:25 - Community contributions to LlamaIndex and managing refactors.

52:00 - Interactions with big tech's corpus and AI context length.

54:59 - Final thoughts on underrated aspects of ML and challenges in AI.

Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.

Connect with Jerry:

https://twitter.com/jerryjliu0

https://www.linkedin.com/in/jerry-liu-64390071/

Follow Weights & Biases:

YouTube: http://wandb.me/youtube

Twitter: https://twitter.com/weights_biases

LinkedIn: https://www.linkedin.com/company/wandb

Join the Weights & Biases Discord Server:

https://discord.gg/CkZKRNnaf3

#OCR #DeepLearning #AI #Modeling #ML

  continue reading

104 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett