[Download 496-page PDF eBook] Applied Causal #Inference Powered by #MachineLearning and #AI: https://
arxiv.org/abs/2403.02467 #ML #DataScience #Algorithms #Statistics
RESEARCH
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Applied Causal Inference with Machine Learning and AI
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Yi 34B Tech Report Reveals Model Architecture and Capabilities
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Wondering what's powering the trending #yi34b? Curious about the tech behind it? At @01AI_Yi
, we've written a tech report revealing the inside scoop on:
Base and chat models
200K long context model
Depth-upscaled model
Vision-language model
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Multi-Stage Learning Rate Scheduler Improves Model Training Performance
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We've also introduced a multi-stage infinite Learning Rate Scheduler that enables us to adjust the model's learning speed during training, optimizing our sessions and enhancing overall performance. Read the report here: https://
arxiv.org/abs/2402.17834 (3/3) -
Multilingual LLM Model Outperforms Google Gemma 2
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Leading in the OpenLLM leaderboard across multiple languages including English, German, Spanish, French, Italian, Dutch, and Portuguese, our model achieves top scores when ranked against larger sized models such as Google’s Gemma 2. (2/3)
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Stable LM 2 1.6B: State-of-the-art Small Language Model
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We’ve published our technical report on Stable LM 2 1.6B; our state-of-the-art small language model trained on multilingual data. This in-depth study covers the training methods utilized for both the base and instruction-tuned versions of the model. (1/3)
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Y Chromosome Loss Triggers Epigenetic Switch in Heart Macrophages
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@NatureCVR The loss of Y chromosome in older men is associated with heart failure, but the mechanism is unknown. As determined via single-cell omics, an epigenetic switch occurs for heart macrophages to become pro-fibrotic https://
nature.com/articles/s4416
1-024-00439-7
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Stanford Fellow Wins Berkeley Tech Integrity Award
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Congratulations to @StanfordHAI fellow @kingjen for winning the 2024 @UCBerkeley Tech Integrity Awards, which honor those advancing responsible tech innovation and policy! 1/2
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Privacy and Data Protection Legislation Impact on AI Development
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Her latest @StanfordHAI white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era. Read more here: https://
hai.stanford.edu/white-paper-re
thinking-privacy-ai-era-policy-provocations-data-centric-world
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Technology Trends Reshaping the World by 2034
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The Biggest Technology Trends In The Next 10 Years
— Bernard Marr (@BernardMarr) 8 mars 2024
By 2034, #technology will redefine our world with #AI seamlessly integrated into everyday life, the merging of digital and physical realities.https://t.co/RXLskxpuEB pic.twitter.com/owtVk88f3MThe Biggest Technology Trends In The Next 10 Years By 2034, #technology will redefine our world with #AI seamlessly integrated into everyday life, the merging of digital and physical realities. https://
bernardmarr.com/the-biggest-te
chnology-trends-in-the-next-10-years/
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GPT-4 Benchmark Bias: Circular Evaluation Problem
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I could not agree more, to the point that I have lost trust in most of these benchmarks. Plus, if GPT-4 is used to run the evals, isn't that an inherent bias of the system?