I don’t know who needs to hear this, but you’ll never build a great Data Science product if you have a deeper seated disdain for Data Science and Data Scientists.
@tunguz
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Job interviews at Tyrell Corporation and AI identification testing
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So what’s the job interview like at the Tyrell Corporation? Do they make you take the Vought Kampff test?
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Is Human Governance Just Collective Hallucination?
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Hot take: most of what we call “human governance” is in fact a collective hallucination.
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Training Traditional AI Models on Massive Video Content
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I can't wait for someone to rain a trad AI waifu on 9 million hours of content.
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AI Researcher Value Compared to H100 GPU Worth
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“He’s a great AI researcher; he’s worth his weight in H100s.”
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Data Science Core: Data and Science Fundamentals
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Yeah, I have this radical idea that the *core* of Data Science is about two things: 1. Data
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Fine-tuning Large Language Models on Kaggle for Real Tasks
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"Fine-tuning a large language model on Kaggle Notebooks for solving real-world tasks — part 3" https://
medium.com/@lucamassaron/
fine-tuning-a-large-language-model-on-kaggle-notebooks-for-solving-real-world-tasks-part-3-f15228f1c2a2
… #AI #ArtificialIntelligence #GenerativeAI #GenAI #largelanguagemodels #llm #llms 4/4 -
Fine-tuning Machine Learning Models Using Kaggle Environment
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Nonetheless, with just a bit of tinkering, even those models can be easily tamed by most practicing Data Scientists. In his latest post @lucamassaron shows hot to do such fine tuning using nothing more than @Kaggle environment. Read more about it in the link below: 3/4
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Small Language Models: Accessible Training and Deployment Solutions
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Training large language models is a very technically demanding and resource intensive task. Many such models also require lots of specialized compute to use. Fortunately, we have recently been blessed by public releases of several "small" LLMs 1/4
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Hard Tasks Becoming Easy AI Progress and Capability Acceleration
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Hard tings are becoming easy, and easy things are becoming trivial.