
Unlocking Custom Large Language Models Using Bedrock Fine-Tuning
One of the projects we are working on involves generating code for a custom dialect of a programming language using a large language model (LLM). With a dataset of instructions and their corresponding implementations, we aim to fine-tune a model to automate this process. Given the rapid advancements in AI, fine-tuning LLMs can significantly enhance their performance for specific tasks, offering tailored solutions that generic models might not provide.