Description:

Creating a recommender system using Generative AI (GenAI) involves leveraging advanced AI techniques to generate personalized recommendations for users based on their preferences, behaviors, and interactions. This type of system can be particularly effective in areas such as e-commerce, media streaming, and content platforms, where understanding user preferences is crucial for engagement and satisfaction.

Outline: Theoretical Coverage( 10 mins ) Introduction Exploring code interpreter TF-IDF and OpenAI Text Embeddings

Demo: ( 15 mins )

Create a news recommender model using TF-IDF(code-interpreter) Create a news recommender model using OpenAI Text embeddings Conclusion

Q&A ( 5 mins )

Video URL:

https://drive.google.com/file/d/1B8uLKq4uIVIW1RcLy_TldHNuIVLdL6F2/view?usp=sharing

Content URLs:

https://docs.google.com/presentation/d/1AaR3_4_u_06xoZmoODvqBmTer3oFkjcQ/edit?usp=sharing&ouid=108489640476963410208&rtpof=true&sd=true

Speaker Info:

Arun is a lead data engineer at Presidio over 7 years of experience on AWS Cloud technologies. He works on designing/developing the data pipeline for streaming as well as batch processing as prescribed by AWS best practices. He also worked on designing the data pipeline architecture for a new product that quickly scaled from 0 to 125000 daily active users. He is also a blockchain enthusiast.

Speaker Links:

https://www.linkedin.com/feed/update/urn:li:activity:7186749215568510977/ https://medium.com/@aruun1995 https://www.meetup.com/aws-budapest-cop/events/295047932/ --> mentioned 16.00 hrs to 16.30 hrs https://sessionize.com/arun-kumar-n/