According to Elon, Grok 4.2 is based on foundation model v8:
0.5T parameters, trained on Hoppers, with major data-quality shortcomings. The new v9 model is 1.5T parameters, trained with a better recipe, better data curation, and optimized for Blackwell. Better model with heat
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Grok 4.2 v8 vs v9: 0.5T to 1.5T parameters, better training
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Scenethesis: LLM + vision module for text-to-3D scene generation
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Want to generate interactive 3D scenes from just a text description? NVIDIA Research and Purdue University present Scenethesis. It combines an LLM for rough scene layout with a vision module that refines object placement using image guidance, plus optimization to prevent
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AI and Machine Learning for Spatial Omics Data Analysis
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Spatial Multi Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self-Supervised Graph Learning! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless
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Practical optimization tips for using Claude AI models
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Sure! 1. Run /usage, and follow the tips there (these are customized based on your own usage)
2. Use Sonnet, or Opus w/ medium effort
3. Always run /clear after coming back to a long session after more than an hour
4. Disable subagents (you can ask Claude to do it for you) Note -
Technical Book Recommendation on Transfer Learning for Machine Learning
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TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Mathematical Methods in Data Science and Machine Learning
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #AI #Algorithms -
50 Machine Learning Projects to Understand LLMs and Transformers
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
Codex AI tool shows significant agentic capabilities on Mac
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gotta say Codex is completely unrecognizable from 3 months ago. guys went extreme founder mode on this thing @gabrielchua was demoing this and i was like “you guys have agentic excel on mac”
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Tensor Decompositions for Machine Learning and Data Science
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Tensor Decompositions for Data Science [and Computational Science]: http://
amzn.to/4s2B5g1
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#ML #MachineLearning #DataScientist #DataScience #Mathematics
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Note: Extensive background materials in linear algebra, optimization, probability, and statistics are included as -
Handbook of Data Science and AI for Business
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The Handbook of Data Science and AI for Business — Generate Value from Data with Machine Learning and Data Analytics: http://
amzn.to/3Wc1Iiz