Ai

Picture this: generating web or phone apps is no longer a daunting task - you can simply describe your desired functionality in plain English and watch as lines of high-quality code are generated before your eyes. The ability to understand, learn and create code using cutting-edge code Generative AI (GenAI) tools has far-reaching implications, such as dramatically reducing time and effort required for software development, allowing developers to spend more time on the more creative aspects of coding. Instead of manually researching how to use various libraries, developers can manage multiple AI bots that perform coding tasks for them using powerful Large Language Models (LLMs) built on state-of-the-art deep learning techniques and trained on vast datasets. With the ability to convert human language into optimized, high quality code with astonishing accuracy and speed, the future of coding looks incredibly bright and filled with amazing innovation. ...

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. ...

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. ...

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 Find Practical Information on AI/ML ...