Fine-Tuning and RLHF
Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.
Fine-tuning and RLHF are critical processes that enable businesses to harness the power of foundation models for sustainable AI programs. By adapting these best-in-class models to your specific data, you can build successful AI solutions that cater to your enterprise's unique needs. This approach ensures long-term strategic differentiation and empowers you to make the most of your enterprise data.
Deliver Value Faster with Deep ML Expertise
Why Virtual AI ?
Virtual AI helps you accelerate the development of AI across the eCommerce and retail shopping experience. We work with leaders in retail to transform the customer experience and advance innovation.
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Hybrid Tech & HitL Engine
Complex ecommerce data, including edge cases and shifting preferences, is efficiently handled by Virtual AI human-AI synergy, proprietary tools, and labeling expertise.
Category Coverage
Our experience with product categories ranging from fashion to grocery (20+ L1 categories) helps us build increasingly powerful ML to tackle the long-tail of categories and attributes.
Proven Virtual AI and Size
We process 10M products weekly across 5+ languages and 10+ markets for the largest global ecommerce marketplaces. We know what it means to scale.