Analysis of Thinking Machines Lab's new open-weight 975B MoE LLM, Inkling, including benchmarks, architecture details, and comparisons.
A technical tutorial on fine-tuning the Llama 2 7B large language model using AWS Trainium instances and Hugging Face libraries.
A technical guide on fine-tuning LLaMA 2 models (7B to 70B) using QLoRA and PEFT on Amazon SageMaker for efficient large language model adaptation.
A technical tutorial on fine-tuning a 20B+ parameter LLM using PyTorch FSDP and Hugging Face on Amazon SageMaker's multi-GPU infrastructure.
A tutorial on fine-tuning a BERT model for text classification using the new PyTorch 2.0 framework and the Hugging Face Transformers library.
A technical guide on fine-tuning large FLAN-T5 models (XL/XXL) using DeepSpeed ZeRO and Hugging Face Transformers for efficient multi-GPU training.
A tutorial on fine-tuning Google's FLAN-T5 model for summarizing chat and dialogue using the samsum dataset and Hugging Face Transformers.
A tutorial on fine-tuning a German GPT-2 language model for text generation using Huggingface's Transformers library and a dataset of recipes.
