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Adaptive

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RLOps platform to evaluate, tune, and serve specialized LLMs optimized via reinforcement learning for enterprise use.

ウェブサイト:https://www.adaptive-ml.com/
追加日:2026年7月13日
月間訪問者数:
23.6K
ソーシャルと電子メール:
RLOpsLLM fine-tuningReinforcement learningSpecialized LLMsEnterprise AIModel evaluation
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Adaptive
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Adaptiveとは何ですか?

Adaptive is an RLOps platform that helps businesses build, own, and deploy specialized large language models. It supports evaluating model performance, fine-tuning with reinforcement learning, and serving specialized LLMs in production to drive business value.

コア機能

  • Adaptive Engine

    RLOps platform for industrialized intelligence that enables adapting, evaluating, and serving LLMs.

  • Bootstrap with Reinforcement Learning

    Tune open models using reinforcement learning and synthetic annotations to improve performance over base and frontier models.

  • Evaluate with bespoke AI judges

    Assess LLM performance using custom AI judges tailored to business metrics.

  • Guarantee performance with A/B testing

    Validate model improvements through A/B testing before production deployment.

  • Optimize with production feedback

    Continuously refine models using real production data and feedback loops.

  • Adapt, Evaluate, Serve

    End-to-end workflow to adapt models, evaluate them, and serve specialized LLMs in production.

使用例

  • #1

    Enterprise Search

    Optimize LLMs for enterprise search applications.

  • #2

    Business Intelligence

    Support business intelligence workflows with specialized models.

  • #3

    Customer Support

    Tune chatbots and support systems to reduce hallucinations and improve resolution on document-based queries.

  • #4

    Text-to-SQL

    Fine-tune models for accurate text-to-SQL generation in enterprise environments.

  • #5

    Call Summarization

    Improve models for summarizing customer or operational calls.

  • #6

    Document RAG

    Enhance retrieval-augmented generation over domain documents for higher factuality and helpfulness.

  • #7

    Multilingual Content Moderation

    Tune small open models to outperform larger proprietary models on multilingual content moderation tasks.

以下に最適:Enterprises building specialized LLMsOrganizations needing domain-specific model fine-tuningTelecom companiesInsurance and customer support teams

料金プラン

No pricing details, plans, or cost information are provided on the official homepage. A demo booking option is offered.

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よくある質問

What is Adaptive?
Adaptive is an RLOps platform that helps businesses build, own, and deploy specialized large language models by evaluating performance, fine-tuning with reinforcement learning, and serving them in production.
What is the Adaptive Engine?
The Adaptive Engine is the core RLOps platform for industrialized intelligence. It enables adapting, evaluating, and serving LLMs through an end-to-end workflow.
What use cases does Adaptive support?
Adaptive supports enterprise search, business intelligence, customer support, text-to-SQL, call summarization, document RAG, and multilingual content moderation, among other domain-specific LLM applications.
How does Adaptive improve LLMs?
It bootstraps open models with reinforcement learning and synthetic annotations, evaluates them using bespoke AI judges, validates improvements via A/B testing, and optimizes continuously with production feedback.
Is pricing information available for Adaptive?
No pricing details, plans, or cost information are clearly published on the official homepage. A demo booking option is offered.
Who is Adaptive designed for?
Adaptive is designed for enterprises building specialized LLMs, organizations needing domain-specific model fine-tuning, telecom companies, and insurance and customer support teams.

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料金モデルUnknown
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タグ
RLOpsLLM fine-tuningReinforcement learningSpecialized LLMsEnterprise AIModel evaluation
言語英語
最終更新日2026年7月16日
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