In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. They enable researchers, developers, and enthusiasts to experiment, improve upon existing models, and create novel applications that benefit society as a whole. In this article, I want to briefly review the … [Read more...] about Beyond ChatGPT: Open-Source Projects in Generative AI
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Top 6 Research Papers On Diffusion Models For Image Generation
Midjourney Evolution. V1 – V5.1 In 2015, a research paper from Stanford University and UC Berkeley introduced diffusion models, coming originally from statistical physics, into the field of machine learning. According to the paper summary, “the essential idea is to systematically and slowly destroy the structure in a data distribution through an iterative forward diffusion … [Read more...] about Top 6 Research Papers On Diffusion Models For Image Generation
Similarity-Based Image Search for Visual Art
Similarity-based image search, also known as content-based image retrieval, has historically been a challenging computer vision task. This problem is especially difficult for visual art, because it is less obvious as to what a metric of “similarity” should be defined as and who should set that standard for art. For example, when I upload a photo of a wall mural … [Read more...] about Similarity-Based Image Search for Visual Art
Unconstrained Chatbots Condone Self-Harm
WARNING. This post contains references to self-harm and suicide. It includes conversations between a human and DialoGPT, with the sole purpose of surfacing the danger of uncontrolled AI. If you or a loved one are dealing or have dealt with suicidal thoughts, I suggest skipping this article. In the context of an accelerating mental health crisis, Natural Language … [Read more...] about Unconstrained Chatbots Condone Self-Harm
Google’s AutoML: Cutting Through The Hype
This is part 3 in a series. Part 1 is here and Part 2 is here. To announce Google’s AutoML, Google CEO Sundar Pichai wrote, “Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets … [Read more...] about Google’s AutoML: Cutting Through The Hype
What Do Machine Learning Practitioners Actually Do?
This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular. There are frequent media headlines about both the scarcity of machine learning talent (see here, here, and here) and about the promises of companies claiming their products automate machine learning and eliminate … [Read more...] about What Do Machine Learning Practitioners Actually Do?
4 Approaches To Natural Language Processing & Understanding
In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as “move the red pyramid next to the blue cube.” To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and … [Read more...] about 4 Approaches To Natural Language Processing & Understanding
Understanding The Limits Of Deep Learning
Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New A.I. startups pop up every day and claim to solve all your personal and business problems with machine learning. Ordinary objects like juicers and wifi routers suddenly advertise … [Read more...] about Understanding The Limits Of Deep Learning
How 26 Top Marketing Executives Use Artificial Intelligence
Artificial intelligence is rapidly transforming all digital industries and marketing is no exception. We asked 26 top marketing executives and entrepreneurs to share how they’ve leveraged A.I. and machine learning technologies to improve their products, simplify their customers’ lives, and address the top pain points in the industry. 1. Eric Stahl, SVP at … [Read more...] about How 26 Top Marketing Executives Use Artificial Intelligence
How AI Can Solve The Top 3 Pain Points In Marketing
3,874. That’s how many companies are featured on Scott Brinker’s behemoth 2016 Marketing Technology Landscape Supergraphic, which drives home the challenge of navigating the marketing industry. "Marketing has the unique challenge of not having a typical stack or process. If you look into any Fortune 500 company, they will have hundreds of products that they are … [Read more...] about How AI Can Solve The Top 3 Pain Points In Marketing