Raphael Tang, Lead Research Scientist at Comcast Applied AI, breaks down the process of training and deploying an Automatic Speech Recognition (ASR) system in a challenging setting – with limited labels and computation. https://
youtube.com/watch?v=9WXGaC
dBtU8
…. #speechrecognition #appliedai
@snorkelai
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Training ASR Systems with Limited Labels and Computation
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Digital Biology and ML Transform Drug Discovery Process
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Thanks to the convergence of digital biology and machine learning, we are on the brink of a transformative shift. Daphne Koller presented insights on how they are revolutionizing drug discovery. https://
youtube.com/watch?v=xfWbbp
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Snorkel Flow: 96% Recall Model in Three Days Zero Labels
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From zero labeled data to a 96% recall, production-ready model in three days? It may sound impossible, but not with Snorkel Flow.
— Snorkel AI (@SnorkelAI) 28 mars 2024
Snorkel AI's Gabe Smith and Matt Casey recently talked through this impressive case.
Full video here: https://t.co/vGuMawe7LE pic.twitter.com/9FCtJclzBuFrom zero labeled data to a 96% recall, production-ready model in three days? It may sound impossible, but not with Snorkel Flow. Snorkel AI's Gabe Smith and Matt Casey recently talked through this impressive case. Full video here: https://
youtu.be/l4kmQZ50_WQ -
Snorkel AI: NLP Engineer Shares Year-Long Implementation Insights
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James Dunham, an NLP Engineer at Georgetown's CSET, offers key insights from a year of using Snorkel AI. He shared the experiences of several project teams, discussing the challenges they faced, how Snorkel helped, and the obstacles that remained.
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Foundation Models and Fine-tuning Explained by Stanford Researcher
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Last year, Ananya Kumar, a machine learning researcher from Stanford University, explained what foundation models are and investigated the common data science practice of fine-tuning these models. https://
youtube.com/watch?v=YzyBSD
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Paroma Varma’s Machine Learning Journey and Weak Supervision Research
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In a throwback to 2021, we revisit a pivotal episode of our Science Talks series, where we hear about Snorkel Co-Founder Paroma Varma's journey into machine learning and her groundbreaking research. https://
youtube.com/watch?v=Kl6Eaj
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… #machinelearning #weaksupervision #snorkelai #AI -
Zero-shot methods for improving foundation model embeddings
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Mark your calendars! Dyah Adila's talk on zero-shot methods for improving embeddings for foundation models is coming up on Friday, April 5th! Free & perfect for data scientists & researchers. Learn more & register: https://
snorkel.ai/event/better-f
m-performance-sans-fine-tuning-research-talk-with-dyah-adila/
… #LLMs #AI #AIresearch -
Data-Centric AI Transforms Insurance Industry Future
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Alejandro Zarate Santovena, esteemed Lecturer at Columbia University and Managing Director at Marsh, outlines the immense potential of Data-Centric AI in the Insurance Industry. : https://
youtube.com/watch?v=rYJUSy
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… #AI #Insurance #DataCentricAI #TechTalk #FutureOfInsurance -
Comcast Enhances Voice Interfaces with Data-Centric AI
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Jan Neumann, Vice President, Machine Learning at Comcast Applied AI and Discovery, offers a deep dive into how Comcast is leveraging data-centric AI to enhance their voice and conversational interfaces, making them more intuitive and user-friendly.
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James Zou on Interpretable and Trustworthy AI
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James Zou, Assistant Professor of Biomedical Data Science at Stanford University, provides a deep dive into the realm of interpretable and trustworthy AI.