Predibase has made significant advancements in model support and capabilities, enhancing the efficiency and effectiveness of fine-tuning and serving models. The platform now supports a wider range of models, including the Llama series and Upstage's Solar Pro, which are optimized for complex tasks and enterprise environments. Vision-Language Models (VLMs) have been enhanced to improve image and text processing tasks, with streamlined deployment processes and automated data preprocessing. The platform also supports embedding models for applications like semantic search and text classification, and introduces continuous training with incremental fine-tuning to reduce resource demands. Additionally, new features such as request logging and support for fine-tuning function calling enhance transparency, decision-making, and integration with existing systems. The introduction of Turbo LoRA accelerates model throughput while maintaining accuracy, and multi-GPU fine-tuning significantly reduces training times for large datasets. These developments underscore Predibase's commitment to providing high-quality AI solutions and maintaining its leadership in the fine-tuning technology space as it looks to further innovations in 2025.