Recently, ChatGPT passed the United States Medical Licensing Examination (USMLE). This test normally takes 4 years of medical school and 2+ years of clinical rotations to pass. http://
medrxiv.org/content/10.110
1/2022.12.19.22283643v2.full
…
LLMS
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ChatGPT Passes US Medical Licensing Exam Without Medical Training
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GPT-4 Writer Style Mimicry Detection Challenges
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I've wondered about that myself. Surely a big part of it is simply that you can instantly see elements of other artists style in imagery, and it's much harder to sense that copying and remixing in text? If gpt4 can very effectively mimic particular writers it might change.
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25K Followers Milestone and Community Introduction
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25K it is. Thank you everyone I talk about Python, Data Science, Machine Learning, and Large Language Models on Twitter. If you are new here Introduce yourself below, let's keep building this amazing community.
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Microsoft Pushes Hard to Lead the LLM Market
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Microsoft is pretty serious with riding the LLM wave and be on the top!
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LLMs deliver meeting summaries and action items automatically
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Yup, meeting highlights with action items delivered right into your inbox. Welcome to the world of LLMs!
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Microsoft integrates ChatGPT into Teams for $7/mo premium features
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The Microsoft+OpenAI integration has begun: Microsoft just announced it is rolling out a premium Teams messaging, powered by ChatGPT to 'simplify' meetings. ChatGPT will generate automatic meeting notes, recommend tasks, and create meeting templates, for $7/mo.
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Top AI News January 2023 ChatGPT Machine Learning
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Top #AI News of January 2023 via @rpnickson @ElunaAi #ArtificialIntelligence #ChatGPT #MachineLearning #BigData #Analytics #OpenAI @data_nerd @Shi4Tech @avrohomg @sallyeaves @CatherineAdenle @HaroldSinnott @anijov @AkwyZ @FmFrancoise @Kevin_ODonovan #DataScience #DeepLearning
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Stanford’s DetectGPT Uses Curvature-Based LLM Detection
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Stanford U’s DetectGPT Takes a Curvature-Based Approach to LLM-Generated Text Detection
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CAPEX vs OPEX: AI Infrastructure and Data Spending Economics
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maybe if you compare compute CAPEX vs data OPEX, but if you amortize CAPEX then for major players they are similar orders of magnitude data spend will stay high because while # of hrs goes down, specialization will increase $/hr (and model value) & prod models need validation
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Compute spending will vastly outpace data investment
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do you really think? im pretty sure we will outspend on compute by a _huge_ margin, and at least for companies like openai data spend will go down as models get smarter. curious if i am missing something!