LM-Kit.NET provides .NET developers with powerful tools for fine-tuning large language models to meet specific requirements. Utilize a variety of advanced training parameters such as LoraAlpha, LoraRank, AdamAlpha, and AdamBeta1, along with optimized algorithms and flexible sample handling to easily customize pre-trained models.
In addition to fine-tuning capabilities, LM-Kit.NET simplifies the process of model quantization, allowing developers to decrease model size without sacrificing accuracy. This transformation into lower-precision formats leads to quicker inference times and reduced resource usage, making it perfect for deployment on devices with constrained processing capabilities.
Moreover, the integration of LoRA enables efficient merging of modular adapters, allowing for swift adjustments to new tasks without the need for extensive retraining. With detailed documentation, APIs, and on-device processing features, LM-Kit.NET offers effective, secure, and tailored AI optimization seamlessly integrated into your .NET applications.