Building #MachineLearning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API @AbacusAI can help you with all this and #MLOps
MACHINE LEARNING
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Essential Components for Building Machine Learning Systems
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Appreciation for Comprehensive Deep Learning Handbook PDF
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Really structured well and concisely, ~120 pages!! Thanks for this amazing deep learning handbook, @francoisfleuret
! The AI community benefits a lot from having publicly available resources like this. Book link[PDF]: https://
fleuret.org/public/lbdl.pdf -
The Little Book of Deep Learning: Free Comprehensive Guide
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The Little Book of Deep Learning A very concise/brief book on deep learning. Covers almost any topic you'd want to know today from foundations, efficient computation, model architectures, training models, synthesis(generative AI), etc… And it's free: https://
fleuret.org/public/lbdl.pdf -
Quick Summary of How Large Language Models Work
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Quick, high-level, helpful summary of how Large Learning Models work via @Laya_neel @FastCompany
. #LLMs #ChatGPT https://
fastcompany.com/90884581/what-
is-a-large-language-model
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Google’s Gil Shamir on Machine Learning Theory and Production
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At the 2023 IEEE Information Theory Workshop (ITW-2023) this week, Google Research’s Gil Shamir will be giving a keynote presentation on “Machine Learning – From Theory to Production, or Is it From Production to Theory?” Learn more about it here:
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UL2 Model Training Dataset C4 Quality Assessment
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ul2 uses c4 only. c4 alone is not the best due to lack of diversity but it's pretty strong. the c4 dataset is quite good imo.
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Chameleon: Compositional Reasoning Framework for LLM Tool Integration
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9/ Chameleon – a plug-and-play compositional reasoning framework that augments LLMs and can infer the appropriate sequence of tools to compose and execute in order to generate final responses; achieves 87% accuracy on ScienceQA and 99% on TabMWP.
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Deep Learning Framework Enables Large-Scale Biomolecular Dynamics Simulation
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3/ Deep Learning for Large-Scale Biomolecular Dynamics – presents a framework for large-scale biomolecular simulation; this is achieved through the high accuracy of equivariant deep learning and the ability to scale to large and long simulations. https://
x.com/simonbatzner/s
tatus/1649214171236691969?s=20
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Wondering if ChatGPT has a sense of humor
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Sometimes I wonder if ChatGPT has a sense of humor. #AI #ChatGPT