Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022 – YouTube
https://bit.ly/3Mpa9TY
#AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Stanford Course on Multi-Task Learning and Meta-Learning
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Scalable Video AI: Implementation and Strategic Applications Guide
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Why And How To Use Scalable AI
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/nu0730svHTl -
Annual State Of Data Quality Survey 2023
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The Annual State Of Data Quality Survey, 2023 https://
bit.ly/3Mt9dhM #AI #MachineLearning #DeepLearning #LLMs #DataScience -
SlimPajama Reduces AI Training Compute Costs by 50 Percent
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Why we built SlimPajama – it's all about training efficiency. Without de-duplication, a model would have to go through 1.2T tokens before seeing ~600B unique tokens. SlimPajama sees 600B tokens in half the time. That saves you 50% on compute costs! https://
cerebras.net/blog/slimpajam
a-a-627b-token-cleaned-and-deduplicated-version-of-redpajama
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Open-Sourcing Research Work for CVPR 2023 Conference
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In support of open science and the research community, we're open-sourcing this work — and we'll be presenting it at #CVPR2023 next week. Training code and model checkpoints
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I-JEPA Delivers Strong Computer Vision Performance with Efficiency
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The approach taken with I-JEPA delivers strong performance across a number of computer vision tasks and does so with greater computational efficiency compared to other widely used computer vision models.
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I-JEPA: Self-Supervised Computer Vision Learning Through Prediction
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Today we're releasing our work on I-JEPA — self-supervised computer vision that learns to understand the world by predicting it. It's the first model based on a component of @ylecun
's vision to make AI systems learn and reason like animals and humans. Details -
LLaMA-Adapter and LoRA: Multimodal Input Advantages
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Good question. I'd say LLaMA-Adapter and LoRA are both good methods. The advantage of LLaMA-Adapter though is that you can also embed multimodal inputs (images and others)
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System Validation Team Hiring for ML ASIC Products
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Do you enjoy product development with strong cross-team collaboration? Join our System Validation team and work on all current and future #MachineLearning #ASIC-based products. #hiring #hiringtoptalent https://
groq.com/careers/?gh_ji
d=5575903003
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Free Open Source Audio Machine Learning Course Launch
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And if you're interested in going deeper into ML for Audio, we are releasing our Audio Course this Wednesday (Jun 14th)! It's fully open source and 100% free Sign up for the course http://
eepurl.com/insvcI
Our launch event https://
youtube.com/watch?v=wqkKRe
sXWB8
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