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
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Essential Components for Building Machine Learning Systems
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ChatGPT Code Generation Compared to Traditional Programming Tools
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They're literally describing the usual programming workflow (when using SO/etc as a code snippet reference). Why do people insist on saying "ChatGPT wrote this program" when this is not at all what's happening? Do they also say "my compiler wrote this" or "SO/Google wrote this"?
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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://
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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://
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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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Replit Hiring: Developer Advocates and Technical Writer
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We're looking for 2 Developer Advocates and a Technical Writer Come change how the world develops, deploys, and consumes software. Apply today and join our endless SHPNG SZN! https://
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Join Our New Developer Relations Team
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Calling all DevRels! Do you love to ship fast and make an impact? You have the opportunity to join on the ground-floor of our brand new Developer Relations team
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Replit: 20M+ Developers on Leading Cloud IDE Platform
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With 20M+ developers, we're among the world's most-used developer platforms. As a full-stack language-agnostic IDE and hosting platform in the cloud, Replit is a developer's paradise.
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Machine Learning Engineering: Patience, Detail, and Deep Thinking
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Machine learning engineering is primarily about patience, attention to detail, and thinking deeply about small things. The day-to-day can be quite tedious & frustrating — but the results of proper execution make it worth it.
