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AI Crash Course

github.com · 555 words · saved by 1 readers

AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks There was an error while loading. Please reload this page. AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks Intro: I’m Henry Shi and I started Super.com in 2016 and grew it to $150MM+ in annual revenues and recently exited. As a traditional software founder, I needed to quickly catch up to the frontier of AI research to figure out where the next opportunities and gaps were. I compiled a list of resources that were essential for me and should get you caught up within 2 weeks. For more context, checkout the original twitter thread Start Here: Neural Network -> LLM Series Then get up to speed via Survey papers: LLM Survey - 2024 Agent Survey - 2023 Prompt Engineering Survey - 2024 AI Papers: (prioritize ones with star *) Foundational Modelling: Transformers* (foundation, self-attention) - 2017 Scaling Laws/GPT3* (conviction to scale up GPT2/3/4) -

AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks Intro: I’m Henry Shi and I started Super.com in 2016 and grew it to $150MM+ in annual revenues and recently exited. As a traditional software founder, I needed to quickly catch up to the frontier of AI research to figure out where the next opportunities and gaps were. I compiled a list of resources that were essential for me and should get you caught up within 2 weeks. For more context, checkout the original twitter thread Start Here: Neural Network -> LLM Series Then get up to speed via…

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