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Foundation Models Tutorial, and Why Not to Fine Tune Them
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How Data Can Close the Foundation Model Performance Gap
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Foundational Models are the Future but... with Alex Ratner CEO of Snorkel AI // MLOps Podcast #139
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How Microsoft Cognitive Services Builds on AI Breakthroughs
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LIGER: A Fusion of Foundation Models and Weak Supervision
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Unveil AI Facts and Myths with Stanford's Abigail See
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Foundation Model Deep Dive with Percy Liang
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How To Harness LLMs To Extract Insights from Text Data
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Building Domain-Specific AI: The Making of BloombergGPT
48:02
Data-Centric Development is Key to Production-Level AI
26:08
The Future is Neurosymbolic
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McKinsey Experts: Businesses must move fast to catch the AI/ML wave
29:39
Alfred: An Open-Source Tool for Building Training Data with Foundation Models and Weak Supervision
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Why GenAI Needs Careful Training Data Management
27:02
Google’s Cloud Partner Engineer Chief on AI Ethics
28:40
How Can We Get LLMs To Tell The Truth?
7:59
How Multitask Learning Boosts Zero-Shot Generalization
28:00
How to Improve Data and Modeling for Computer Vision Apps
24:21
How To Deliver Enterprise Value with Foundation Models
9:02
How to Harness the Power of LLMs with Prompting and Weak Supervision
34:35
Justin Gottschlich "Machine Programming and the Future of Data-Driven Software Development"
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Large language mode (LLM) training explainer intro #shorts
19:59
Mastering LLMs with Skill-it! and Zero-Shot Robustification
9:03
How Does Speech AI Work? NVIDIA's Sirisha Rella Explains
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AI Superalignment? First, we need to tackle enterprise alignment
29:49
Expert Panel: Decoding AI's Future with Open-Source
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The Making of RedPajama and the Future of Open-Source AI
9:05
Model Compression: Streamlining AI for Enterprises