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bmk.sh | ||
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evjang.com
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| | | | | This blog post outlines a key engineering principle I've come to believe strongly in for building general AI systems with deep learning. This principle guides my present-day research tastes and day-to-day design choices in building large-scale, general-purpose ML systems. Discoveries around Neural Scaling Laws, unsupervised pretraining on Internet-scale datasets, and other work on Foundation Models have pointed to a simple yet exciting narrative for making progress in Machine Learning: Large amounts of d... | |
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www.assemblyai.com
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| | | | | Learn how ChatGPT works under the hood in this easy-to-follow guide. | |
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www.alignmentforum.org
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| | | | | On March 29th, DeepMind published a paper, "Training Compute-Optimal Large Language Models", that shows that essentially everyone -- OpenAI, DeepMind... | |
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findingourway.design
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| | | Joining Peter and Jesse to talk about what's next for design is Dr. Sara Beckman, Professor at Berkeley's Haas School of Business and longtime observer and commentator of the dynamic between design and business. We'll be talking more about the legacy and impact, for better or worse, of design thinking, how design leaders should talk... | ||
