Top ML Papers of the Week (Jan 9-15): – DreamerV3
– DeepMatcher
– Multimodal deep learning
– Transformer compiler for RASP
– Potential misuses of LMs and mitigations
– Scaling laws for generative mixed-modal LMs
– Time series forecasting with generative modeling
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Top Machine Learning Papers of the Week
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Machine Learning Types and Applications Infographic Guide
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Want to know more about #machinelearning? Check out the #infographic for a breakdown of the different types and their applications.
Learn more with @ingliguori #AI #deeplearning #DigitalTransformation #ArtificialIntelligence #Python #datascience #NeuralNetworks #GenerativeAI -
Open Architecture vs Fair Data Compensation in AI
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Seems to me that there are two orthogonal issues:
– should your architecture be open? – where do you get your data from/are contributors justly compensated? Both are tricky. But virtue in one doesn’t logically entail virtue in the other. -
Computer CoPilot Vision Now Tractable Through Text Translation
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Computer CoPilot. Was very much the vision with OpenAI Universe https://
openai.com/blog/universe/ , though it was too early. Now feels tractable if you translate everything to/from text (e.g. like in WebGPT). Could be built e.g. as an extension of natbot https://
github.com/nat/natbot -
LLMs Lack True Compositional Reasoning Capabilities
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Read http://
rebooting.ai; it went to press just before LLMs became popular but lays out many challenges for genuine intelligence. I don’t see how LLMs resolve any of them. It’s not compositional and can’t reason, so it’s just a giant but superficial statistical approximator -
7 Machine Learning Cheat Sheets To Ace Technical Interviews
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7 Super Cheat Sheets You Need To Ace Machine Learning Interview: Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round. https://
kdnuggets.com/2022/12/7-supe
r-cheat-sheets-need-ace-machine-learning-interview.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=7-super-cheat-sheets-you-need-to-ace-machine-learning-interview
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ChatGPT Boon or Curse: Educational Impact and Ethical Concerns
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From being 'mildly terrifying' to doing #Homework, is #ChatGPT a boon or curse? https://
businessinsider.in/tech/news/from
-being-mildly-terrifying-to-doing-homework-is-chatgpt-a-boon-or-curse/amp_articleshow/97000516.cms
… #opensource #RLHF #100DaysOfCode #Python #tech #developers #architect #AI #ML #DL #AIEthics #OpenAI #chatgpt3 #code #Coding #GPT3 #gpt4 #gptchat #gpt3chat #chatbot #ChatbotAI -
ChatGPT Impact on Education: Teachers vs Technology
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AI, do my homework! How #ChatGPT pitted teachers against #tech https://
m.economictimes.com/tech/technolog
y/ai-do-my-homework-how-chatgpt-pitted-teachers-against-tech/articleshow/97003255.cms
… #opensource #RLHF #100DaysOfCode #100Devs #javascript #Python #developers #architect #AI #ML #DL #AIEthics #OpenAI #chatgpt3 #code #coding #GPT3 #gpt4 #education #gpt3chat #chatbot #ChatbotAI -
ChatGPT Productivity Tips for Software Developers
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How to use ChatGPT to boost your #developers productivity https://
dev.to/developeratul/
how-to-use-chatgpt-to-boost-your-developer-productivity-3e5a
… #ChatGPT #OpenSource #RLHF #100DaysOfCode #100Devs #javascript #Python #tech #architect #AI #ML #DL #AIEthics #OpenAI #chatgpt3 #code #Coding #GPT3 #gpt4 #gptchat #gpt3chat #chatbot #ChatbotAI -
Superficial AI Progress Masks Deeper Problems and Misinformation Risks
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not in the areas that I have emphasized for over two decades. in my view we have tons of superficial progress, but little progress in the deeper problems that would get us to genuine and trustworthy intelligence. And are entering a mess of misinformation we are ill prepared for