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In part 4 of our Generative AI series, we share how to build a system for fine-tuning & serving LLMs in 40 minutes or less.
Local Large Language Models
How to tune LLM Parameters for optimal performance
LLMs:《如何使用Ray + DeepSpeed + HuggingFace简单、快速、经济有效
大模型LLM微调的碎碎念- 知乎
Various Numbers Good to Know for Developers of Large Language Models - GIGAZINE
llm-numbers/README.md at main · ray-project/llm-numbers · GitHub
Patterns for Building LLM-based Systems & Products
Five Large Language Models You Can Fine-Tune Today
How to fine-tune your large language model (LLM) at home by using QLoRa and LoRa, by Hoessin Zare
LLM Fine-Tuning: How To Choose the Right Model?
Cost-Effective LLMs: Leveraging Generative AI with Limited Hardware
LLMs:《如何使用Ray + DeepSpeed + HuggingFace简单、快速、经济有效
Parameter-Efficient Fine-Tuning (PEFT) of LLMs: A Practical Guide