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Podcast: How AI will Impact the News with Noah Giansiracusa
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
Podcast: HPCC – Open-Source Platform High-Performance Computing on Large-Scale Data
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
Trial, Error, Triumph: Lessons Learned Using LLMs for Creating Machine Learning Training Data
The broad availability and performance of large language models (LLMs) enables practitioners to automate a variety of time-consuming tasks. Obtaining a large number of quality labels for a machine learning training dataset is a critical step in supervised learning, but can require prohibitive amounts of time... Read more
Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics
Imagine if your job was to sort a massive pile of 40,000 stones into about 200 buckets based on their unique properties. Each stone needs to be carefully examined, categorized, and placed in the correct bucket, which takes about five minutes per stone. Fortunately, you’re not... Read more
Machine Learning and Data Science: Academia vs. Industry
Machine Learning (ML) technologies are becoming increasingly popular and have various applications, ranging from smartphones and computers to large-scale enterprise infrastructure that serves billions of requests per day. Building ML tools, however, remains difficult today because there are no industry-wide standardized approaches to development. Many engineering... Read more
How to Optimize ML Models Serving in Production
Today, the use of AI for image classification tasks has become ubiquitous. Millions of images are processed daily with increasing quality standards. However, beyond the quality of classification, optimizing other aspects such as model speed is crucial. Here, we delve into the proper optimization techniques for... Read more
9 Must-Have Generative AI Phone Apps
It’s clear that generative AI has become an integral part of many phone apps, providing users with innovative and powerful tools right at their fingertips. Here are a few generative AI phone apps, some familiar and others not, that you can use on your phone today.... Read more
Causal AI: From Data to Action by Dr. Andre Franca
At this year’s ODSC East, there was a wealth of content related to cutting-edge technologies and emerging techniques that are the latest developments in artificial intelligence. While much progress has been made in predictive tasks such as generating the next word in a sequence, the technology... Read more
New DynGAN Framework May Resolve Mode Collapse in GANs
Generative adversarial networks (GANs) have become increasingly popular as generative AI applications expand. However, this development has also made these models’ flaws all the more prevalent. Mode collapse is perhaps the most prominent of these shortcomings, but a new framework called DynGAN may pose a solution.... Read more
May 2024 Top LLM & Generative AI News, Research, & Open-Source Tools
Every month, there are countless updates in the world of large language models. Between new tools being announced, updates to existing ones, and funding rounds for growing companies, there’s plenty going on in the space. Generative AI news, apps, chatbots, LLMs, frameworks, and other projects are... Read more