CRAFT – Contextual Retrieval Augmented Fine Tuning
Achieve superior fine-tuning for AI models with CRAFT, a groundbreaking approach that combines advanced retrieval and fine-tuning techniques at a fraction of the traditional cost.
CRAFT transforms LLM fine-tuning through the Contextual Retrieval Augmented Fine Tuning system, merging the latest retrieval techniques with traditional fine-tuning. This innovative approach allows for more efficient and effective model training by incorporating relevant information during the process, leading to smarter AI models with enhanced performance. Perfect for improving AI models without the high costs associated with conventional methods.
- Easy Integration: Incorporate the advanced CRAFT approach into your existing AI workflows to boost model performance.
- High Performance: Achieve faster and more accurate AI models, suitable for a wide range of applications and use cases.
- User-Friendly: Designed for individuals, developers, and enterprises, CRAFT offers a simple setup and user experience.
- Cost-Effective: Enjoy significant savings on fine-tuning—CRAFT is much more affordable than traditional methods.
- Handling Big Data: Efficiently process and fine-tune models with large datasets, enhancing the ability to extract and use relevant insights.
- Cutting-Edge Technology: Leverage the latest in AI training technology to stay ahead in a competitive landscape with improved model accuracy and efficiency.
CRAFT excels in optimizing AI models by integrating relevant data into the fine-tuning process, making it ideal for managing extensive datasets. This combination of advanced retrieval and fine-tuning techniques ensures that your AI models are trained effectively, offering better performance and efficiency.
Private Beta: CRAFT is currently in private beta. Join the waitlist to get early access and be among the first to experience this innovative fine-tuning solution.