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#287Jun 2024Chip Huyen on AI Engineering, How META Trains LLMs at Scale, AI Search The Bitter Lesson, Uncensoring LLM Research, Apple AI Private Cloud Compute + more 🚀llms · privacy #261Dec 2023Billion Scale Vector Search, Mozilla's MemoryCache Local AI, Deep Learning Foundations Book, Google's Machine Learning for ML, Probabilistic Data Structures + more 🚀data-engineering · ml-education · privacy #247Sept 2023Andrew Ng: Opportunities in AI, 10y of Forecast Reconciliation, Glassdoor’s ML Platform Registry, Advanced NLP Course w SpaCy, Privacy Nightmare on Wheels + more 🚀mlops · nlp · privacy #154Nov 2021NeurIPS LXAI Opening Keynote, Reddit Production ML Architecture, State of Privacy Preserving ML, Organisational Data Challenges, Dynamic AI Learning Mind Map + more 🚀privacy · ai-ethics #147Oct 2021Real Time Fraud Detection at ING, Practical AI Ethics from MLOps, Federated Learning Research, The Road to Intelligent RPA, Technical Debt Opinion Survey + more 🚀ai-ethics · privacy #92Sept 2020Data Version Control with Dmitry, Differential Privacy Series, Which GPUs for Deep Learning, Reinforcement Learning Pathmind, Explainable AI Monitoring + more 🚀mlops · privacy · reinforcement-learning #78Jun 2020Outlier & Anomaly Detection ML, The State of ML in Python 2020, Applied Homomorphic Encryption, OpenAI NLP API Beta Launch, Continuous Delivery Podcast + more 🚀forecasting · privacy · nlp #70Apr 2020Privacy Preserving AI Lecture, Backpropagation 101 from Thinc, Harvard Offering Free Courses, GPT2 AI Dungeon Game Update + more 🚀privacy · ml-education · nlp #59Feb 2020Table Detection & NLP with DL, Towards general conv. agent, State of privacy preserving ML, Distributed Delayed Job Queueing, Applying confidence models + more 🚀privacy · data-engineering #36Aug 2019The state of Federated Learning, Data Science Best Practices, Progression of a Data Scientist, Observability 3 year retrospective, Intro to transformer architecture + more 🚀privacy · llms #32Jul 2019E2e ML Pipelines in Enterprise, Code-free deep learning Ludwig, ML Reidentification and Privacy, OSS + AI will take us to the Moon, Large Scale Distributed Systems + more 🚀mlops · privacy #26Jun 2019PyTorch Hub + Reproducible ML, Privacy-preserving AI free course, MLFlow for pipeline management, E2E NLP Pipelines with Kubeflow, The Brains behind SpaCy + more 🚀mlops · privacy · nlp #14Mar 2019Domain knowledge in DL, Federated learning in Tensorflow, Live ggplots for your twitter rants, Evolving Jupyter in the Lab, 8 Books for Computer Vision, Qrash Course on RL, Introducing data labelling section + more 🚀privacy · reinforcement-learning #12Mar 2019Bias and Explainability in ML, Federated Learning with PyTorch, Data Visualisation Deep Dive, Practical recommenders tutorial, Learning Curves in ML evaluation, Machine Learning Cybersecurity + more 🚀explainability · privacy · recommender-systems #9Feb 2019Tools to scale your production ML, Outlier Detection by ML for ML, How Facebook scales their ML, Transfer Learning to improve DL, Towards Federated Learning, Quantum ML Online Course + more 🚀mlops · forecasting · privacy