Jan 13, 2024 · We propose an Efficient and Extreme length extension method for Large Language Models, called E 2 -LLM, with only one training procedure and dramatically ...
E 2 -LLM is meticulously designed to enhance the model's robustness to diverse relative positions. The experimental results on multiple benchmark datasets ...
Sep 26, 2024 · We introduce a novel solution named Efficient and Extreme length extension for Large Language Models (E2-LLM).
We propose an Efficient and Extreme length extension method for Large Language Models, called E 2 -LLM, with only one training procedure and dramatically ...
Abstract. In this paper, we aim to align large language models with the ever-changing, complex, and diverse human values (e.g., social norms) across time ...
Jan 13, 2024 · This paper proposes E²-LLM, a method that streamlines the length extension of LLMs in an efficient manner, using shorter context lengths for ...
To address the aforementioned issues, we introduce a novel solution named Efficient and Extreme length extension for Large Language Models (E2-LLM). E2-LLM ...
Typically, training LLMs with long context sizes is computationallyexpensive, requiring extensive training hours and GPU resources.
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Jan 20, 2024 · This paper presents an efficient and extreme length extension method for large language models (LLMs) called E2-LLM.
In this survey, we provide a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main ...