nemo-mbridge-perf-moe-dispatcher-selection

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Fine-tune large language models using DeepSpeed on local or remote GPUs.

Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing…

Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization. Use when implementing…