Adaptive: Enhancing AI Models with Advanced RAG, Text-to-SQL, and Customer Support Solutions

Adaptive is an AI platform developed by Adaptive ML, Inc., designed to improve the accuracy and reliability of large language models (LLMs) through advanced techniques like reinforcement fine-tuning, AI judges, and A/B testing. It specializes in reducing model hallucinations and optimizing Retrieval-Augmented Generation (RAG) for enterprise use cases such as customer support, text-to-SQL conversion, and data-driven decision-making. Built for developers, enterprises, and businesses, Adaptive offers a robust toolkit to evaluate, tune, and serve LLMs efficiently.

Key Features:

• Reinforcement Fine-Tuning: Enhances model performance using AI judges and production feedback.
• Text-to-SQL Optimization: Delivers specialized models for schema-aware query generation, outperforming GPT-4o and Llama 3.1 8B by 55%.
• RAG Accuracy Improvements: Reduces hallucinations and boosts knowledge retrieval precision.
• Custom AI Judges: Enables tailored evaluation of model outputs.
• One-Click PPO/GRPO/DPO: Simplifies policy optimization for LLMs.
• Synthetic Data Recipes: Generates high-quality training data for specialized tasks.
• Automated Reasoning Tuning: Streamlines model adaptation for specific use cases.
• Proprietary Inference Engine: Ensures fast, scalable deployment of AI solutions.
• On-Premise and Cloud Support: Flexible integration for enterprise environments.
• A/B Testing & Model Interactions Browser: Facilitates iterative model improvement.

Pricing:

Adaptive offers a free tier with access to core features, alongside enterprise plans tailored for large-scale deployment. Demo sessions are available for potential users to explore its capabilities.

Conclusion:

Adaptive is a cutting-edge platform that empowers enterprises and developers to build reliable, high-performing AI systems. With its focus on customization, efficiency, and accuracy, it stands out as a vital tool for modern AI workflows.