Vaibhav Puranik’s Post

"AI is not just about efficiency gains, it's about opening up new possibilities, unlocking human potential and solving some of society's biggest challenges."This quote by Yoshua Bengio, a renowned computer scientist and Turing Award laureate, highlights AI's transformative potential beyond just improving productivity.

In Build a Large Language Model (from Scratch), you’ll discover how LLMs work from the inside out. In this insightful book, bestselling author Sebastian Raschka guides you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. You’ll go from the initial design and creation to pretraining on a general corpus, all the way to finetuning for specific tasks. Ganesh Prasanna Balakrishnan Adam King Iris Fu John Hawkins Reean Liao Gireek Bansal Ajit Sarkaar Sanja Widmer Saniya Naphade Ken Weiner

The New York Times - Investors Pour $27.1 Billion Into A.I. Start-Ups, Defying a Downturn - https://lnkd.in/gmrNVWgw Funding for A.I. firms made up nearly half the $56 billion in U.S. start-up financing from April to June, according to PitchBook.

"One day the AIs are going to look back on us the same way we look at fossil skeletons on the plains of Africa. An upright ape living in dust with crude language and tools, all set for extinction." - Nathan (Oscar Isaac) Ex Machina (2014)

GumGum Verity is a leading contextual intelligence platform designed to process and analyze text, images, and videos for effective digital advertising. Utilizing advanced AI technologies like computer vision and natural language processing, Verity can extract nuanced insights from various types of media, ensuring that ads are placed in contextually relevant and brand-safe environments. This platform has received content-level accreditation from the Media Rating Council (MRC), highlighting its precision and reliability across multiple digital formats including connected TV (CTV), desktop, and mobile web. Verity's capabilities go beyond basic text analysis, incorporating audio and video content to provide comprehensive contextual understanding. This allows advertisers to target their audiences with high accuracy and relevance, reducing wasted impressions and enhancing engagement. By offering a cookieless solution for pre-bid targeting, Verity ensures privacy and compliance with evolving data regulations while maintaining effective ad placement. Adam Schenkel Noe Marti Segui Lane Schechter Megha Jain Phil Schraeder Ken Weiner Rob Hall Hailey Denenberg Iris Fu Michele Larson Corey Gale John Hawkins Jonathan Mullins

Here is what Elon Musk said about this book - “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” I highly recommend this book for people who want to get into Deep Learning. Deep Learnin gby Ian Goodfellow, Yoshua Benjio and Aaron Courville.

ChatGPT has been very helpful in handling some mundane tasks. But ChatGPT can help data scientists in many ways as well. It can help them in data exploration and preprocessing, feature engineering and even model building and evaluation! Here is an excellent blogpost from our own data scientist Reean Liao - https://lnkd.in/gT9wG9NX John Hawkins Iris Fu Bryce Lackenby Adam King Sanja Widmer Keishin Nishiyama Ajit Sarkaar Gireek Bansal Ken Weiner Lane Schechter Karla Belista Priyabrata Karmakar, PhD

Didn't know this existed! Cooking Genie - the AI-powered cooking companion app that’ll take your culinary skills to new heights! Simply input your available ingredients or name a recipe, and Cooking Genie will magically generate a list of delicious meals you can make. Whether you’re planning breakfast, lunch, dinner, or dessert, Cooking Genie has got you covered. It also allows you to easily adjust the recipe for the number of people and provides a comprehensive breakdown of calories, macronutrients, and micronutrients!

Papers With Code (https://paperswithcode.com) is a remarkable open-source platform that serves as a comprehensive hub for cutting-edge machine learning research papers, code implementations, datasets, and evaluation benchmarks.  This community-driven resource aims to foster collaboration and accelerate progress in the field by providing a centralized repository where researchers, practitioners, and enthusiasts can explore the latest advancements, access open-source code, and compare model performance across various tasks and datasets. Ken Weiner Iris Fu John Hawkins Reean Liao Keishin Nishiyama Adam King Gireek Bansal Saniya Naphade Ajit Sarkaar