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1. How to train your large language model: A new technique speeds up the process

   This article discusses the process of training a large language model (LLM) using reinforcement learning from human feedback (RLHF) and a new alternative method called Direct Preference Optimization (DPO). The article explains how these methods help align the LLM with human expectations and make it more efficient.

   2024-05-15 Tags: llm, reinforcement learning, human feedback, openai, chatgpt, rlhf, dpo, training by klotz
2. 14 Free Large Language Models Fine-Tuning Notebooks

   - 14 free colab notebooks providing hands-on experience in fine-tuning large language models (LLMs).
   - The notebooks cover topics from efficient training methodologies like LoRA and Hugging Face to specialized models such as Llama, Guanaco, and Falcon.
   - They also include advanced techniques like PEFT Finetune, Bloom-560m-tagger, and Meta_OPT-6–1b_Model.

   2024-02-10 Tags: llm, lora, hugging face, llama, guanaco, falcon, peft, fine tune, mpt-instruct, phi, self-supervised, rlhf by klotz

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