LLM Fine-Tuning and Model Selection Using Neptune and Transformers

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. But here’s the catch — you’re working with limited computational resources and can’t rely on expensive, high-power machines for fine-tuning. How do…

challenge computational dataset fine-tuning imagine language language model large language large language model llm model selection natural language processing resources transformers