What is Adaptive ML?
Adaptive ML offers Adaptive Engine, a comprehensive platform designed to optimize and deploy large language models (LLMs) for enterprise applications. The platform allows businesses to evaluate, tune, and serve LLMs, leveraging reinforcement learning to achieve optimal performance based on specific business metrics.
Adaptive Engine facilitates a continuous improvement cycle, starting with model adaptation through reinforcement fine-tuning and synthetic data generation. It then moves to evaluation using bespoke AI judges tailored to predict production performance. Rigorous A/B testing ensures performance validation before full deployment, and ongoing optimization is achieved through real-time tracking of business metrics and model interactions, using production feedback to continuously enhance model accuracy and effectiveness.
Features
- Reinforcement Fine-tuning: Generate synthetic data and fine-tune models with reinforcement learning.
- Bespoke AI Judges: Evaluate models with AI judges predictive of production performance.
- A/B Testing: Validate user preference with A/B testing before going to production.
- Production Feedback Optimization: Continuously improve model performance using real-time feedback from production.
Use Cases
- Enterprise RAG: Enable access to enterprise knowledge at scale.
- Text-to-SQL: Create specialized AI agents to accelerate business analytics.
- Customer Support: Transform your customer experience with personalized AI agents.
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Adaptive ML Uptime Monitor
Average Uptime
100%
Average Response Time
218.9 ms
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