Ml on DataThrillz

A Machine Learning Engineer’s Top 5 Predictions for the Future of Generative AI

Wed, 25 Jan 2023 12:30:00 +0000

What is GenAI?

Generative AI (GenAI) empowers end-users to generate content, such as images and text, quickly and easily. Entrepreneurs are taking advantage of this technology to create a growing number of startups that utilize GenAI models for various aspects of content creation. In the coming year, we can expect to see a proliferation of new products that build on GenAI models like titans GPT-3 and Stable Diffusion. The GenAI renaissance is just beginning and the recent boom in niche end-user applications for this technology is just the tip of the iceberg. These models will serve as the foundation for many future applications ushering in a new GenAI-economy replete with add-ons to existing software and entirely new offerings for end-users. With GenAI, the possibilities for content creation are endless and entrepreneurs are poised to capitalize on this powerful technology to revolutionize the way we create and consume media.

Best 2021 Resources for Learning about AI/ML

Wed, 20 Jan 2021 19:10:59 +0000

For upskilling on AI/ML, I prefer taking a top-down approach i.e. starting with high level concepts then proceeding to more foundational topics (read: delve more into the theory) . I liked taking the breadth-first approach (rather than a depth-first approach) to initially understand AI/ML. Once I had a solid foundation, I easily pivoted to learning a specific topic, like masked regional CNNs, for building expertise through real-world experience.

I took multiple courses and read several authors at the same time. You want to find the right sources of information for you and there are so many options out there, so explore. Sometimes I need to read or watch something a few times from different folks before it just clicks. This ultimately accelerated my learning of concepts. Completion of courses should not be the ultimate goal as some courses cover trivial topics and others go too deep into other topics.

Staying Up-To-Date on AI/ML

Tue, 24 Nov 2020 16:14:54 +0000

Great Email Newsletters on AI/ML

All newsletters are released weekly.

Import AI - AI newsletter that summarizes recent news articles and research; I enjoy how honest and succinct this newsletter is; also like that the implications of new algorithms are always discussed by Jack, who is an advocate for improved ML model explicability and data privacy.
AI News Weekly - curated list of AI-related articles; presents a brief summary of each article describing the latest news, applied use cases and ethics; has ads
AI Applied use Cases Top News - curated list of the latest AI news articles; subscribers can customize their newsletters according to topics of interest; weekly
The Batch - newsletter from deeplearning.ai more academic with discussion of recent AI research papers; great breakdown of topics e.g. what’s new, why it matters and the implications
TOPBOTS - list of various AI articles recently released on TOPBOT.com; articles cover a wide array of topics e.g. NLP, ML in marketing and interpretability; articles tend to be more technical
PyImageSearch - articles on using Python to tackle real-world computer vision and deep learning problems; very practical, well-done computer vision blog. I highly recommend Adrian’s free email courses.
ODSC - newsletter with articles spanning various topics geared to beginners, experts and everyone in between. They also offer webinars (free and paid) as well as online meetups.

Podcasts

Data Skeptic has short episodes that cover various ML concepts
TWIML AI - Formally This Week in ML & AI is hosted by Sam Charrington who asks really strong questions to the latest and greatest AI/ML researchers.
Practical AI - aims to make AI accessible to everyone