Pattaniyil, Ravi, & Zengin - Using LLMs to improve your Search Engine

[NitikaBahl]

I would like to add timestamps to this video

[Anuradha-Chaurasia]

Hi @NitikaBahl, I would like to contribute by adding timestamps for the video titled "Pattaniyil, Ravi, & Zengin - Using LLMs to improve your Search Engine." I'll start reviewing the video and add the relevant timestamps here shortly.

Thanks for the opportunity to contribute!

[RSzipper]

I would like to add timestamps to this video

Pattaniyil, Ravi, & Zengin - Using LLMs to Improve Your Search Engine

• Introduction:

  • Start – 0:00 to 1:59
  • Agenda – 2:01 to 3:24
  • Learning Objectives – 3:26 to 4:03

• Understanding E-Commerce Search:

  • E-Commerce Search Problems – 4:03 to 4:18
  • Query Understanding – 4:18 to 5:01
  • Item Understanding – 5:02 to 9:17
  • E-Commerce Search Overview – 9:18 to 9:45

• Simple Retrieval System:

  • Overview – 9:48 to 25:45
  • Key Takeaways – 25:47 to 26:34

• Overview of Large Language Models:

  • What is an LLM – 27:16 to 28:07
  • Recent LLM Moments – 28:08 to 31:20
  • Steps in Training – 31:21 to 33:36
  • Dataset Size – 33:37 to 34:45
  • Architecture – 34:48 to 36:59
  • Evaluating LLM – 36:00 to 39:54
  • Example of Prompting – 39:55 to 44:37

• Hands-On Session:

  • Lab – 44:38 to 1:02:28
  • Prompting by Nidhin – 1:02:39 to 1:14:41

• Fine-Tuning LLMs:

  • Fine-Tuning Overview – 1:14:42 to 1:18:43
  • LORA (Low-Rank Adaptation) – 1:18:44 to 1:20:55
  • QLORA (Quantized LORA) – 1:20:56 to 1:22:32

• Production Use Cases:

  • Real-World Examples – 1:24:09 to 1:29:39
    Hi @NitikaBahl, I've watched the video and added detailed timestamps to improve navigation. Please review and let me know if any changes are needed. Thanks!