Dive into the core of #DataScience with this insightful visual! From domain expertise to advanced computing, each element is crucial for mastery. Enhance your understanding with 'The Digital Edge' https://
bit.ly/3u4pILl. By @ingliguori #AI #Tech
RESEARCH
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Core Elements of Data Science Mastery and Advanced Computing
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Specialized Open-Source Models Outperform Generalist Models
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Specialized models based on open-source > generalist models for most tasks (+ cheaper, faster, easier to run/maintain/build)! https://
reddit.com/r/LocalLLaMA/c
omments/1cp2h1v/3b_model_beating_gpt4_on_medical_summarisation
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Open Source Impact on Science and Technology Development
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Responsible development and use of Open Source projects and software have changed the world and propelled science and technology in public and private sectors, benefitting developers, researchers, students, entrepreneurs, businesses, etc – Human Genome, Linux, ImageNet, PyTorch,
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Search vs Interpolation: Sampling from Actual Game Space
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You aren't sampling from a learned manifold of the game space, you are sampling from the *actual* game space. You aren't in any way limited by what you've previously learned. That's the difference between search and interpolation.
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LLM-generated training data differs from actual game data like AlphaGo
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No, I'm talking about using a LLM to generate LLM training data, ungrounded (with no selection by a non-DL system). AlphaGo game data is actual game data, it isn't generated by a LLM.
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Fair Use for AI Derivatives: Legal Boundaries and Licensing Markets
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You agree it's a derivative, but claim all downstream uses except licensing in the same market are covered by "Fair Use"?
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Jensen Huang Pioneered Physics Informed Neural Operators at GTC
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With all the attention on Neural Operators at #ICLR2024 and AI4differentialequations workshop, one of the first visionaries who saw its potential is none other than Jensen at @nvidia Here's clip of him talking about Physics Informed Neural Operator, way back in #GTC 2021… pic.twitter.com/GESKW6Yl2a
— Prof. Anima Anandkumar (@AnimaAnandkumar) 11 mai 2024With all the attention on Neural Operators at #ICLR2024 and AI4differentialequations workshop, one of the first visionaries who saw its potential is none other than Jensen at
@nvidia Here's clip of him talking about Physics Informed Neural Operator, way back in #GTC 2021 -
Quantization Explained: Why Tech Concepts Confuse Normal People
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Which normal person understands quantization? I work in tech and I barely know what it means let alone my mom?
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Data Science, AI, and Machine Learning: Key Differences and Intersections
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Navigating the realms of #DataScience, #ArtificialIntelligence, and #MachineLearning? This infographic simplifies their unique aspects and intersections. Follow @ingliguori for more insights. Enhance your tech strategy with 'The Digital Edge': https://
bit.ly/3u4pILl #Innovation -
Mastering Data Storytelling: Essential Elements for Data-Driven Success
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Mastering #DataStorytelling is key in today’s data-driven world. This visual highlights the crucial elements from visual design to narrative context. Want to dive deeper? Check out 'The Digital Edge' https://
bit.ly/3u4pILl for more insights! #AI #DataScience By @ingliguori