The Turing Test is nearly done. It’s time for a Modern Turing Test which measures what an AI can DO, not just what it can SAY. This is my suggestion:
RESEARCH
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Cohere Launches AI Research Grant Program for Academic Researchers
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We are excited to foster greater coordination between academic researchers and industry through the launch of the Cohere For AI Research Grant Program. The program will help provide research access that is critical for transparency and scholarship in the growing field of NLP.
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Microsoft LongNet: Processing Billion-Token Sequences Efficiently
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Scaling neural networks to new heights with Microsoft LongNet! A novel AI transformer model variant that handles sequences of over 1 billion tokens without compromising the speed of shorter ones. Read in detail in this segment of 'AI Insights': https://
rb.gy/bxha0 -
India Advances AI for Weather Prediction and Climate Intelligence
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@UN @CGTNOfficial @_DigitalIndia @GoI_MeitY @NeGD_GoI @nasscom #ai #weatherconditions #MachineLearning #INDIAai
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AI Advances in Extreme Weather Prediction
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AI takes a giant leap in predicting extreme weather! Advanced ML algorithms are revolutionizing our ability to anticipate & prepare for severe climatic events. Want to read more about the innovations that are shaping the future of weather forecasting? Tap:
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Generative AI: Foreshock to AI Singularity Explained
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Generative #AI may only be a foreshock to AI singularity https://
bit.ly/3EaB4Qb via @Venturebeat #DigitalTransformation -
Transformers Are Popular But Simple Baselines Still Matter
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Yeah. I doubt that there will be a follow-up paper though. I think the point was more like "transformers are the shiny new toy, but don't forget about also implementing simple baselines when you start a new project".
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Disclosure Differences Between LLMs and BERT Models
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Interesting point. For LLMs like GPT-3 & 4 we simply don't know because it's not disclosed. For BERT we do know though. There's separate BERT-English and BERT-multilingual models, for example, etc.
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Gzip and kNN: Text Similarity Through Compression
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In short, the idea behind this gzip + kNN approach is that a given text A is close to the size of two concatenated texts A + B when compressed using Gzip. Or, the compressed size of A+A is similar to the compressed size of just A (plus a constant value for the back reference)
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HyperDreamBooth: Fast Text-to-Image Model Personalization with HyperNetworks
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HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models paper page: https://
huggingface.co/papers/2307.06
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… Personalization has emerged as a prominent aspect within the field of generative AI, enabling the synthesis of individuals in diverse contexts and styles, while