Adaptive ML

Adaptive ML is a Coding & Development tool that helps businesses evaluate, tune, and serve specialized LLMs. It uses reinforcement learning to optimize models and reduce hallucinations, outperforming frontier APIs.

Claim this tool

4Views

At a glance

Pricing

Likely Not Free

Free tier

API

—

Skill level

Technical

About

What is Adaptive ML?

Adaptive ML provides a platform, Adaptive Engine, for businesses to build, own, and deploy specialized Large Language Models (LLMs) by leveraging reinforcement learning. The tool focuses on evaluating, tuning, and serving LLMs to drive business value. Key capabilities include generating synthetic data, fine-tuning models with reinforcement learning to outperform frontier APIs, and evaluating performance with bespoke AI judges tailored to business outcomes. It also guarantees performance through A/B testing and optimizes models with real-time production feedback, ensuring continuous improvement and knowledge retention. Adaptive ML is designed to help enterprises bridge the gap from prototype to autonomous production for their AI initiatives.

Best used for

Ideal for data scientists and product managers who need to build, own, and deploy specialized LLMs, improve model accuracy, and reduce hallucinations. Especially valuable for enterprises looking to optimize LLMs for specific business needs like enterprise search, business intelligence, and customer support, ensuring models outperform generic APIs.

Common actions

tune LLMs

evaluate LLMs

deploy LLMs

optimize AI models

reduce hallucinations

AI chatbots

Capabilities

Key features

Reinforcement learning tuning
Synthetic data generation
Bespoke AI judges
A/B testing validation
Production feedback optimization
Specialized LLM deployment

Target Audience

data scientistproduct managerdeveloperstartup founder

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Contact for Pricing

FAQs

What is Adaptive Engine?

Adaptive Engine is Adaptive ML's RLOps platform designed for industrialized intelligence. It enables businesses to bootstrap with reinforcement learning, generate synthetic data, fine-tune models, and deploy specialized LLMs that can outperform frontier APIs. The platform also includes tools for evaluation and continuous optimization.

How does Adaptive ML reduce LLM hallucinations?

Adaptive ML uses reinforcement learning to tune LLMs, significantly reducing hallucinations. For example, in a case study, tuning a Llama 3.1 8B model reduced hallucinations by 25% over GPT-4o and 42% over the base model, using synthetic annotations to optimize the training process.

What types of LLMs can be optimized with Adaptive ML?

Adaptive ML can optimize various LLMs, including open models like Llama 3.1 8B and Gemma 3 4B. The platform is designed to help businesses build and deploy specialized LLMs tailored to their specific use cases, such as text-to-SQL, customer support, call summarization, and document RAG.

Trending

Subcategories trending in Coding & Development

Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce