The only way you can counter it is via ML. You need to use all available signals to make a judgment call on whether an account's activity is spam or not. It's a game of cat and mouse, ever shifting. Very solvable, but it requires actual people labeling your data everyday.
MACHINE LEARNING
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Infini-attention: Google’s approach to infinite context in LLMs
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Can LLMs have infinite context? Researchers from Google say yes. A new paper proposed Infini-attention, which lets LLMs have infinite context. How Infini-attention works:
• has local attention like any transformer
• has global attention via compression
• combines local and -
Congratulating Yi Tay on Impressive Model Launch with Honest Benchmarks
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Congrats @YiTayML on this launch. It is impressive that a small team can train a strong model so quickly. What I also like is that the PR is not full of unfounded hype. Just plainly states the model's benchmark scores and you can immediately try out the model yourself for free.
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Dataset Cartography: Managing Training Data in AI
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A year ago, William Huang of Capital One explored ""dataset cartography"" and its value in training data management. Check out this must-watch video to stay updated on the latest trends in the field:
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Large-scale data processing for generative AI model training
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Yeah, anything that has to do with processing large amounts of data. I actually think this would be amazing for helping train new models as well. You could use large batches of image classification and then use the results to train a model at the quality level of DALL-E.
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Refactoring Diffusion Models: Updates on Generative AI Research
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Spent some time refactoring the 2021 post on diffusion model with new content: https://
lilianweng.github.io/posts/2021-07-
11-diffusion-models/
… Then another short piece on diffusion video models: https://
lilianweng.github.io/posts/2024-04-
12-diffusion-video/
… (Yes, I had an intensive weekend) -
AI Competition Intensifies as Progress Accelerates Industry-Wide
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Possibly — but competitors are getting closer each day. Progress is accelerating for everyone.
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Daily Content on Python Data Science Machine Learning and MLOps
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Foundation Models Shaping AI Future Applications
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Have you ever wondered how foundation models are shaping the future of AI? If you're keen on understanding how these large models trained on enormous datasets are used in downstream applications, this is a must-watch. Watch the full video here: https://
youtube.com/watch?v=9s7- -
Understanding Camera Components for Computer Vision Engineers
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🎥 New Video Alert 🎥https://t.co/8NN10oFfCI
— Satya Mallick (@LearnOpenCV) 15 avril 2024
Just as a good Software Engineer must understand a computer's inner workings, a proficient Computer Vision Engineer needs to grasp the intricacies of a camera. In our latest video, we discuss the essential components of a camera,… pic.twitter.com/Ptog63dqFlNew Alert https://
youtube.com/watch?v=F7h9rr
ATXLg
… Just as a good Software Engineer must understand a computer's inner workings, a proficient Computer Vision Engineer needs to grasp the intricacies of a camera. In our latest video, we discuss the essential components of a camera,