Fine-tuning LLMs for longer context and better RAG systems

Anyscale Endpoints and Private Endpoints are now available as part of the Anyscale Platform, offering a cost-effective solution for fine-tuning models with long context lengths. The "Needle In A Haystack" benchmark has been refined to make it more challenging and relevant to RAG applications. A generalizable and scalable procedure for creating synthetic fine-tuning datasets using Anyscale Endpoints has been demonstrated, enabling the creation of custom fine-tuning datasets for specific use cases. Fine-tuned models have been benchmarked against popular alternatives, showcasing the effectiveness of the dataset and fine-tuning procedure in achieving competitive performance while reducing costs. The study highlights the importance of considering cost and accuracy when choosing a model for production use-cases.