Search

Being Curious …

Jigyasa Grover

Category

Uncategorized

Goodbye to News Copy Writer’s Block: Supercharging Gemini Pro via Supervised Fine-Tuning πŸ“°

Are you tired of staring at a blank screen, struggling to craft captivating headlines and categorize news articles effectively? Say goodbye to news copywriter's block as we harness the power of Gemini Pro. In this article, we'll explore how this... Continue Reading →

Bifocal Perspective of Compound AI Systems using Gemini 1.5 Pro πŸ‘“

I recently came across a research publication titled The Shift from Models to Compound AI Systems on the Berkeley Artificial Intelligence Research (BAIR) Lab's website. Being on a time crunch I wanted a quick gist of the blog post without... Continue Reading →

Hyper-Personalized Ad Campaigns using Generative AI + Quick Demo using Google Gemini Pro Vision πŸŽ―

In the vast and ever-evolving landscape of online advertising, campaigns come in various forms, each with its unique approach to capturing the attention and imagination of internet users. Here is a fascinating spectrum of ad campaigns, from general to personalized... Continue Reading →

My top 3 papers in ML for 2022 πŸ‘€

How do you keep up with the countless innovations and state-of-the-art R&D. happening? This is one of the most commonly asked questions. πŸŽ™πŸ’­πŸ€” And I have a pretty standard response to it - you have to go above and beyond... Continue Reading →

Human Data Annotators: Lifeline of the AI pipeline!

I just read this very interesting article -- it talks about the life of human (especially women) data annotators based in small towns and villages in India. They are the lifeline behind the most unglamorous part of the AI pipeline:... Continue Reading →

Privacy-Preserving Machine Learning πŸ”

Lately, I’ve been working on #PrivacyPreservingML πŸ” I got looped in some projects after Apple launched AppTrackingTransparency (ATT) framework, requiring iOS apps to ask permission to share users’ data w/ 3rd parties. This has triggered an industry-wide discussion on best... Continue Reading →

Data Cascades in Machine Learning β›²οΈ

Machine Learning models are as good as the data they consume🍴Data impacts performance, fairness, robustness & scalability of #ML Systems. If not taken care of, it leads to a TON of tech debt over time in a corporate setting, downstream... Continue Reading →

BOOK LAUNCH πŸŽ‰ Sculpting Data for ML: The first act of Machine learning

2020 was unprecedented. My heart goes out to all who had a difficult year 🀍 Losing the privilege to socialize as much and be outdoors, it gave Rishabh Misra an opportunity to do something that was always on our bucket... Continue Reading →

Featured post

Research Reading: Approaches to click-through rate estimation (3/x) πŸ€“

Previously I shared two research readings (Part 1 and Part 2) for CTR estimation and keeping up with the spirit of this series, I am sharing an overview of a very interesting research paper Deep Interest Evolution Network for Click-Through... Continue Reading →

Create a website or blog at WordPress.com

Up ↑