What does Adaptive ML do and what problem does it solve?
Adaptive ML provides a platform to evaluate, tune, and serve the best LLMs for your business, solving the problem of selecting and optimizing models for specific use cases. It uses reinforcement learning to optimize models based on measurable metrics, such as reducing hallucinations by 25% over GPT-4o for an insurance chatbot case study.
What does Adaptive ML offer or include in terms of features, surfaces, or integrations?
Adaptive ML offers a platform for LLM evaluation, tuning, and serving, powered by its Adaptive Engine. The service includes use cases for adapt, evaluate, and serve workflows. Based on its tags and description, it integrates reinforcement learning with fine-tuning, synthetic data, and A/B testing to optimize models.
How is Adaptive ML priced or packaged?
The evidence does not provide specific information on the pricing or packaging of Adaptive ML. The website prompts users to 'book a demo,' suggesting a sales-led or enterprise pricing model rather than public, self-serve tiers.
What is Adaptive ML used for and in what situations?
Adaptive ML is used for reinforcement learning operations (RLOps) to build, own, and deploy specialized LLMs, driving business value through optimization. It is used in situations like improving factuality for customer support chatbots, enhancing multilingual content moderation, or building use cases like text-to-SQL and document RAG, as seen with deployments at companies like AT&T and SK Telecom.
Who is Adaptive ML for?
Adaptive ML is designed for businesses and enterprises that need to build, evaluate, and deploy specialized large language models, with a focus on developers and AI teams. Its case studies feature enterprise clients like Aïkan, SK Telecom, and AT&T, indicating it targets organizations looking to fine-tune models for specific, measurable outcomes.
What is Adaptive ML?
Adaptive ML is an RLOps platform for evaluating, tuning, and serving large language models, where the core is model development and deployment infrastructure. It is categorized as a 'Developer & AI Platform' product.