Large Language Model (LLM) Development Framework

A Large Language Model (LLM) Development Framework is an AI model development framework that provides training infrastructure and optimization tools for creating large language models.

• Context:
  • It can typically provide LLM Training Infrastructure through distributed training systems.
  • It can typically support LLM Architecture Implementation through transformer building blocks.
  • It can typically enable LLM Dataset Processing through tokenization pipelines.
  • It can typically implement LLM Training Optimization through gradient accumulation techniques.
  • ...
• Example(s):
  • PyTorch LLM Training Frameworks, such as:
    • Hugging Face Transformers for transformer model training.
    • DeepSpeed for distributed LLM training.
    • FairScale for model parallelism training.
  • JAX-based LLM Training Frameworks, such as:
    • T5X for scalable transformer training.
    • Mesh Transformer JAX for model parallel training.
  • ...
• See: LLM-System Development Framework.

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