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leogao.dev | ||
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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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research.google
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| | | | | Posted by Adam Roberts, Staff Software Engineer and Colin Raffel, Senior Research Scientist, Google Research Over the past few years, transfer le... | |
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slingingbits.com
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| | | | | After benchmarking the R1 1776 model and seeing how post training influenced its performance (full post here), I realized another gap. Models that can technically handle a huge context window often degrade long before you hit their max token limit. Plenty of benchmarks test for raw throughput or model quality | |
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ljvmiranda921.github.io
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| | | In this blog post, I want to demonstrate how we can leverage large language models like GPT-3 as a viable affordance to reduce a human annotator's cognitive ... | ||
