Predibase's first edition of their newsletter, Fine-Tuned, reflects on a year of exciting developments in AI, while also providing insights into recent product updates and upcoming events. The newsletter highlights the introduction of support for fine-tuning and serving the Mixtral-8x7B model and outlines Predibase's aim to share best practices for building production AI, hands-on tutorials, and updates on their open-source projects Ludwig and LoRAX. Featured content includes webinars on fine-tuning open-source models like Zephyr-7B for customer support automation, leveraging LoRA for task-specific applications, and the benefits of adapter-based training. Predibase also emphasizes the potential for cost-effective deployment of AI systems using open-source models and introduces new features like a prompting experience in their UI and dedicated A100 capacity for training and serving models. The platform's updates include the release of LoRA Exchange (LoRAX) with expanded support for various models and quantization techniques, offering a comprehensive solution for efficiently fine-tuning and serving large language models.