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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MACHINE LEARNING
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Specialized Open-Source Models Outperform Generalist Models
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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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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 -
Training AI Models on Synthetic Roleplay Input Data
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Have you tried training a model on actual RP inputs to act as the user? Write a couple hundred of them yourself, it’ll go pretty far.
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AI and Machine Learning in Smart Manufacturing Decision-Making
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Join Tim Gaus, Principal and Smart Manufacturing Business Leader at @Deloitte
, at IIoT World Manufacturing Days! Tim's session promises valuable insights into #AI and #MachineLearning decision-making. Register now! https://
buff.ly/49lF0dW #sponsored #ge_iiot #cirrus_iiot #iiot -
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 -
Low-field MRI with deep learning transforms affordable point-of-care imaging
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How low field MRI (0.05 Tesla) with deep learning #AI is transforming this imaging to low cost, point of care, with high resolution @ScienceMagazine https://
science.org/doi/10.1126/sc
ience.adm7168https://www.science.org/doi/10.1126/science.adp0670
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