Thrilled about Domino Data Lab's role in the #AI revolution, as highlighted in this @SDTimes article from NVIDIA's GTC conference! Our partnership empowers data scientists to develop & deploy cutting-edge models. https://
domino.buzz/3ZjBATH #NVIDIA #DataScience #MLOps
MACHINE LEARNING
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Domino Data Lab Advances AI Model Development with NVIDIA Partnership
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Run 30000 ML Apps Locally with New Docker Feature
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THIS IS BIG! It's now possible to take any of the >30,000 ML apps from Spaces and run them locally (or on your own infrastructure) with the new "Run with @Docker
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AI proved useless for this task, used search instead
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Bon l'AI m'a été inutile pour ça, j'ai fait avec un recherche 🙂 #Ai
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AI Hallucination and Inference Explained by Experts
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Exactement c'est le principe de l'hallucination qui est en fait l' "inférence" ma conf avec @nguyen_nico de la semaine dernière au #seosquare est en replay, tu peux la revoir. Et fais moi confiance @_Re_ maîtrise le sujet. https://
seosquare.semji.com -
NVIDIA RTX 4080 GPU and DLI Credits Giveaway Winners Announced
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Congratulations to Aaron Kennington on being the proud owner of an NVIDIA RTX 4080 GPU and our five DLI Credits Winners worth $90 each. Follow us to stay updated on future giveaways. #NVIDIA #AI #computervision #deeplearning #MachineLearning #artificialintelligence
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Free Role-Based AI Training and Certifications Now Available
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The rumors are true: we’re offering no-cost, role-based onboarding training to our customers, partners, and anyone else who’s interested! These live trainings and certifications cover topics across data engineering, ML, analytics, and more!
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Comparing Neural Parameters to LLM Parameters: Apples and Oranges
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Yeah, I agree, I would not use number of neurons/synapses/dendrides/etc as the number of parameters that can be compared to LLM parameters. These are very different systems. It's like comparing apples and oranges 🙂
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Physics-Grounded AI Agents: Learning, Reasoning, Robotics Integration
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1) learning from experience (although you already mentioned it in the dynamic memory part) 2) physics grounding: llm-agent that can observe and act in an environment, reason spatially, plan, etc 3) integration with robotics
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Google CoLT5 Processes Long Inputs via Conditional Computation
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Google’s CoLT5 Processes Extremely Long Inputs via Conditional Computation https://
syncedreview.com/2023/03/28/goo
gles-colt5-processes-extremely-long-inputs-via-conditional-computation/
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ChatGPT and GPT-4: Parameter Efficiency in Knowledge Distillation
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We don't appreciate enough that ChatGPT & GPT-4, using just a few hundred GB of parameters, can distill immense human knowledge, and display exceptional reasoning & generalization skills. And you? How many GB of parameters are in your brain?