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research.google | ||
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blog.research.google
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| | | | | [AI summary] Google Research introduces TimesFM, a decoder-only foundation model for time-series forecasting with zero-shot capabilities, pre-trained on 100 billion real-world time-points, outperforming existing methods in various domains. | |
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deepmind.google
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| | | | | This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. | |
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ai.googleblog.com
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thesephist.com
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| | | [AI summary] The text provides an in-depth overview of research on sparse autoencoders (SAEs) applied to embeddings for automated interpretability. It discusses methods for analyzing and manipulating embeddings, including feature extraction, gradient-based optimization, and visualization tools. The work emphasizes the importance of understanding model representations to improve human-computer interaction with information systems. Key components include: 1) Automated interpretability prompts for generating feature labels, 2) Feature gradients implementation for optimizing embeddings to match desired feature dictionaries, and 3) Visualizations of feature spaces and embedding transformations. The text also includes FAQs addressing the use of embeddings over lan... | ||
