Understanding the hierarchy of Machine Learning is essential for building effective models. From data collection to deployment, every step counts! By @ingliguori #MachineLearning #DataScience #AI
MACHINE LEARNING
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ChatGPT4 Advances in Deep Learning and IoT Applications
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That's all for now! If you have any questions or want to learn more about #ChatGPT4, feel free to reach out. I'm always happy to chat! #ArtificialIntelligence #DeepLearning #IoT #ML
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ChatGPT4 Learns and Adapts with Machine Learning
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Another great feature of #ChatGPT4 is its ability to learn and adapt to new information. The more you interact with it, the smarter it gets! #MachineLearning #AIAssistant
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ChatGPT4 Trained on Massive Data for Human-Like Responses
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ChatGPT4 has been trained on a massive amount of data and can generate human-like responses to a wide range of prompts, from casual conversation to complex technical questions. #AI #NaturalLanguageProcessing #NLP
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Live Data Sculpture: Orchestra Feeds Generative AI Model
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A live data sculpture!
— Pascal Bornet (@pascal_bornet) 7 avril 2023
The live music of this orchestra is used as real-time data to feed a generative AI model
Another splendid work by Refik Anadol#datasculpture #artificialintelligence #machinelearning #deeplearning #music pic.twitter.com/rDYvzZekKpA live data sculpture! The live music of this orchestra is used as real-time data to feed a generative AI model Another splendid work by Refik Anadol
#datasculpture #artificialintelligence #machinelearning #deeplearning #music -
GPT as Programmable Text Computer: Memory Analysis Analogy
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The analogy between GPTs of today to the CPUs of early days of computing are interesting. GPT is a funny kind of programmable text computer. Have to think through it more but e.g.: ## Memory
GPT-4 RAM is ~log2(50K vocab size)*(32K context length)/(8 bits/byte) ~= 64kB, -
China’s AI Strategy: Key CCP Strategist Wang Huning Analysis
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This book was recommended to me by Dick O'Neill. Written by one of the key strategists in the CCP, Wang Huning. Worth a read and worth reflecting on how America can strengthen our competitiveness against the PRC: https://
amzn.to/3nHIpRV -
Open ML Essential to Prevent Centralized Control of AI
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That these models will integrate into our everyday lives is precisely why we need open ML that is not controlled by a centralized party. The "AGI Doomer" fearmongering narrative distracts from actual dangers, implicitly advocating for centralized control and power consolidation.
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Hydra Configs for Deep Learning Experiments Guide
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Hydra Configs for Deep Learning Experiments: This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier. https://
kdnuggets.com/2023/03/hydra-
configs-deep-learning-experiments.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=hydra-configs-for-deep-learning-experiments
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Model Serving: Scaling ML with Lakehouse Integration
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Integrated with your #Lakehouse data, #ModelServing offers automatic lineage, governance, and monitoring across, data, features, and model lifecycle. Learn how to use Model Serving to scale from zero all the way up to your most critical needs