Prompting/In-context learning ; Transformers AND LMs: context length
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5 Documents
Albert Gu sur X : "Quadratic attention has been indispensable for information-dense modalities such as language... until now..."
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2023-12-05 About
Philipp Schmid sur X : “YaRN” allows you to scale LLMs like llama 2 to over 100k context!...
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2023-09-01 About
[2307.02486] LongNet: Scaling Transformers to 1,000,000,000 Tokens
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2023-07-06 About
Aran Komatsuzaki sur Twitter : "Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System Enables LLMs to outperform ChatGPT in scenarios involving ultra-long document summarization or long-term conversations."
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2023-04-27 About
Aran Komatsuzaki sur Twitter : "Scaling Transformer to 1M tokens and beyond with Recurrent Memory Transformer..."
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2023-04-25 About