Reimagine your AI development with a data-centric platform. Learn how to use Sama to transform data into advanced AI applications
Because job candidates are able to describe their skills and experiences in an infinite number of ways, their model had difficulty delineating the skills and normalizing them against the company’s internal terminology. To improve the quality of their matching, the software company tapped Sama to help support two annotation workflows, providing named entity recognition (NER) and named entity normalization (NEN) using a three-annotator consensus approach.
Internationally known for its popular content sharing mobile apps, a Global Fortune 500 company wanted to improve its foundation models for the North American market. The technology company had several projects they wanted to tackle around caption writing and prompt and response evaluation but lacked the expertise in both context and English language proficiency to achieve the high model accuracy they required.
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The future of AI depends on overcoming its biggest challenges, chief among them being hardware limitations. Joining us today is Jay Dawani, Founder and CEO of Lemurian Labs, to share how his company is addressing this central issue by building a platform designed to make AI development more efficient, affordable, and environmentally friendly.
Melissa shares the factors that determine whether an open-source community is healthy, speaks to Intel’s philosophy on innovation and open AI.
Thomas tells us all about reinforcement learning, their constant process of learning and reinvention, and the power of generative AI (with good data). Finally, Thomas shares some words of wisdom for anyone looking to forge a career in the world of AI.
Kandarp dives into the development of the Xactly AI Copilot before expanding on the complexities of measuring AI’s true value and impact. We also explore the future of AI, with Kandarp sharing his view that while AI may be overhyped in the short term, its long-term potential is vastly underappreciated.
How can we ensure that AI is used ethically in a rapidly evolving world? Today, we sit down with Srujana Kaddevarmuth to delve into AI ethics, workforce upskilling, and the need for global regulations to ensure ethical AI adoption and deployment.
Today on How AI Happens we are joined by the leader of digital change at UPS, Sunzay Passari. You’ll hear all about Sunzay’s extensive career, how he landed his role at UPS, how he plans on driving technological transformation, and how AI has made its way into the company in recent years.
Martin is a former University Professor and renowned Research Scientist at Google DeepMind. His work focuses on advancing the field of artificial intelligence through deep reinforcement learning. We discuss what reinforcement learning does differently in executing complex tasks, overcoming feedback loops in reinforcement learning, the pitfalls of typical agent-based learning methods, and how being a robotic soccer champion exposed the value of deep learning. We unpack the advantages of deep learning over modeling agent approaches, how finding a solution can inspire a solution in an unrelated field, and why he is currently focusing on data efficiency.
Jia shares her background as an adjunct professor at Stanford University as well as her journey to Co-Founding and serving as President & Chief AI Officer at LiveX, as well as why she is so excited about the field of AI agents and the crucial import of a multi-modal approach.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
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