Fine Tuning LLMs
Customize, manage, and deploy Large Language Models (LLMs) for tailored applications and optimized performance.
How do businesses use Casp AI?
Finetuning LLMs or Deploy
Enhance LLM capabilities by fine-tuning models like OpenAI GPT, Google Gemini, and NVIDIA LLAMA for domain-specific tasks. Overcome generic limitations and create high-performing, specialized solutions.
Start, Progress, Stop, Deploy Models
Efficiently manage the LLM lifecycle. Start training workflows, monitor progress, halt processes for adjustments, and deploy fine-tuned models seamlessly for real-time or batch processing.
Deploy Model on Interactions
Use deployed models for tasks like information extraction and conversational interactions. Automate data retrieval and leverage fine-tuned LLMs for contextual, user-friendly responses.
Customizable Chat Configs
Optimize chat interfaces by configuring parameters such as tone, style, response length, and context memory. Incorporate domain-specific terminology to enhance user engagement and personalization.
End-to-End LLM Optimization
Streamline the entire LLM retraining and deployment process. Adapt LLMs to specific workflows, integrate with applications, and achieve faster time-to-market for AI-powered solutions.