Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Large Language Models (LLM) are commonly trained on data sets consisting of sequences of fixed-length tokens. These data sets are ...
Tag: length
Do LLMs not match the suffix when completing the Fill-in-the-Middle (FIM) code? Horizon Length Prediction: A New AI Training Task to Advance FIM by Teaching LLMs to Plan Ahead on Arbitrarily Long Horizons
When writing the code for any program or algorithm, developers can have difficulty filling in gaps in incomplete code and ...
Nomic AI Introduces Nomic Embed: Text Embedding Model with 8192 Context Length Outperforming OpenAI Ada-002 and Text-Embedding-3-Small on Short and Long Context Tasks
Nomic ai launched an onboarding model with a multi-stage training process. ai/posts/nomic-embed-text-v1">Embed nomic, an open source, auditable, high-performance text embedding ...
Introduction to Streaming-LLM: LLM for Infinite Length Inputs
The large Language Model (LLM) has changed the way people work. With a model like the GPT family being widely ...
Expanding context length in large language models | by Donato Riccio | October 2023
How to turn your llama into a giraffeAuthor's image. (ai generated flames)Context length refers to the maximum number of tokens ...
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