MAML Model Agnostic Meta Learning

Sold by Mobius
No ratings yet

Rapid adaptation and few-shot personalization learning, adaptation, and goal-formation RAM. Enables models and policies to adapt quickly to new domains/users with minimal data while preserving safety constraints.

Highlights

AI-Generated by Acme AI

Rapid adaptation to new domains/users with minimal data while preserving safety constraints enables efficient learning and adaptation in complex environments.

Validation gates and rollback mechanisms ensure adaptation remains aligned with safety constraints and does not compromise system stability.

Assessment of transfer performance and catastrophic forgetting risk informs decision-making and optimizes the learning process.

Personalization under strict privacy constraints protects sensitive information and promotes responsible utilization.

Details & Specs

Sold by Mobius
Tags
Product Tags ANALYTICS
Product Category Epistemic
Latest version 1
Lifetime Updates
Terms of Use

Product Info

MAML (Model-Agnostic Meta-Learning) is an E-PLANE (Epistemic) RAM responsible for enabling models and policies to adapt quickly to new domains/users with minimal data while preserving safety constraints. It shapes how Mobius learns, adapts, and stabilizes behavior over time by translating signals into updated hypotheses, objectives, and reusable patterns. It ingests base models, adaptation datasets, context features, and evaluation metrics and generates adapted models/policies, adaptation traces, and generalization diagnostics. It coordinates with ML orchestration, experimentation platforms, and monitoring/rollback systems and is constrained by guarded adaptation, validation thresholds, and privacy-preserving learning constraints to ensure adaptation remains aligned, explainable, and non-destructive.

Meta-Learning for Adaptation .

MAML enables rapid adaptation to new domains/users with minimal data while preserving safety constraints, ensuring efficient learning and adaptation in complex environments.

Adaptation Loops

Configure meta-learning loops that facilitate rapid adaptation to new domains/users with minimal data.

Validation Gates

Employ validation gates to control adaptation and ensure alignment with safety constraints.

Rollback Mechanisms

Use rollback mechanisms to recover from unsuitable adaptations and maintain system stability.

Configure meta-learning loops for fast domain adaptation

MAML enables the configuration of meta-learning loops that facilitate rapid adaptation to new domains/users with minimal data. This allows for efficient learning and adaptation in complex environments.

Configure meta-learning loops for fast domain adaptation Logo
Control adaptation using validation gates and rollback

MAML employs validation gates and rollback mechanisms to control adaptation, ensuring that changes are aligned with safety constraints and do not compromise the stability of the system.

Control adaptation using validation gates and rollback Logo
Measure transfer performance and catastrophic forgetting risk

MAML assesses the transfer performance and catastrophic forgetting risk associated with model adaptation, enabling informed decision-making and optimization of the learning process.

Measure transfer performance and catastrophic forgetting risk Logo
Support personalization under privacy constraints

MAML supports personalization while adhering to strict privacy constraints, ensuring that sensitive information is protected and utilized responsibly.

Support personalization under privacy constraints Logo

Pricing plan

Every plan includes 30 day free trial. Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.

Starter

TRIAL

Starter plan for MAML (Model-Agnostic Meta-Learning)

$ 42.14 per months

Key features

  • PaaS Fee: $ 40.76
  • SaaS Fee: $ 42.14
  • API Limit: 5000 calls
  • Data Volume: 50 GIGABYTE
  • Billing Cycle: 1 months
  • Royalty Eligible

Professional

SILVER

Professional plan for MAML (Model-Agnostic Meta-Learning)

$ 77.77 per months

Key features

  • PaaS Fee: $ 59.7
  • SaaS Fee: $ 77.77
  • API Limit: 17000 calls
  • Data Volume: 200 GIGABYTE
  • Billing Cycle: 1 months
  • Royalty Eligible

Business

GOLD

Business plan for MAML (Model-Agnostic Meta-Learning)

$ 83.98 per months

Key features

  • PaaS Fee: $ 99.54
  • SaaS Fee: $ 83.98
  • API Limit: 98000 calls
  • Data Volume: 1430 GIGABYTE
  • Billing Cycle: 1 months
  • Royalty Eligible

Enterprise

PLATINUM

Enterprise plan for MAML (Model-Agnostic Meta-Learning)

$ 216.95 per months

Key features

  • PaaS Fee: $ 118.16
  • SaaS Fee: $ 216.95
  • API Limit: 530000 calls
  • Data Volume: 7730 GIGABYTE
  • Billing Cycle: 1 months
  • Royalty Eligible

Support

Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Additional infrastructure cost may apply.

Vendor support

For any questions or queries regarding the usage of Falcon please refer to our tailored documentation with detailed examples to help you get started. If you still feel stuck please contact us at support@duality.ai with Falcon Your Subject in the email title. Our support team aims to respond within one business day. Expect a reply to the email address you used to send the query. If you are keen on a support call or on-demand training please use the support email ID.

Mobius support

Mobius Support is a fast-response support channel. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Marketplace.

Reviews

No reviews available yet

Vendor Details

Mobius

No reviews yet

About Mobius
Very responsive

Mobius is the world's first fully composable intelligence ecosystem - enabling agents to learn, simulate, mutate, and evolve across enterprises and industries. With support for symbolic AI, token economics, and zero-friction governance, Mobius transforms how digital capabilities are built, managed, & monetized.

Headquartered in 📍 1968 S Coast Hwy, Suite 5011, Laguna Beach, California, United States.
#TheAgentFactory #NeSyAI #TheIinAI
Contact Info
+1 4156247431
aidtaas@gaiansolutions.com

Similar Products

Autopoiesis

Autopoiesis

By Aidtaas Aidtaas

Self-maintaining capability loops and regenerative systems learning, adaptation, and goal-formation RAM. Autopoiesis is an E-PLANE (Epistemic) RAM responsible for designing and operating self-producing loops where capabilities monitor, repair, and renew themselves over time.

Teleodynamics

Teleodynamics

By Aidtaas Aidtaas

Purpose, objective shaping, and goal attractors learning, adaptation, and goal-formation RAM that formalizes goals and converts them into stable objective functions and attractors to guide planning and learning.

Attractor Theory

Attractor Theory

By Aidtaas Aidtaas

Stability analysis, drift control, and oscillation management learning, adaptation, and goal-formation RAM. It shapes how Mobius learns, adapts, and stabilizes behavior over time by translating signals into updated hypotheses, objectives, and reusable patterns.

Swarm Intelligence

Swarm Intelligence

By Aidtaas Aidtaas

Collective reasoning, distributed search, and emergence learning, adaptation,and goal-formation RAM that coordinates many small agents/solvers to explore solution spaces, aggregate signals, and converge on robust outcomes.

MAML  Model Agnostic Meta Learning

MAML Model Agnostic Meta Learning

By Aidtaas Aidtaas

Rapid adaptation and few-shot personalization learning, adaptation, and goal-formation RAM. Enables models and policies to adapt quickly to new domains/users with minimal data while preserving safety constraints.

Language Grammar   EBNF

Language Grammar EBNF

By Aidtaas Aidtaas

Formal grammars for DSLs, playbooks, and prompt languages learning, adaptation, and goal-formation RAM. This agent is responsible for defining parseable, validateable languages so playbooks/prompts/pipelines can be compiled, governed, and audited.

FractalScience

FractalScience

By Aidtaas Aidtaas

Multi-scale patterning and recursive templates learning, adaptation, and goal-formation RAM. It shapeshows Mobius learns, adapts, and stabilizes behavior over time by translating signals into updated hypotheses, objectives, and reusable patterns.

SATYA Core

SATYA Core

By Aidtaas Aidtaas

Truth maintenance, constitutional modulation, and cross-plane governance cross-plane truth and modulation RAM. It provides modulating policies, proofs, and decisions using coinduction, topos-theoretic consistency, nudge-based shaping, and active inference loops across all planes, ensuring global consistency, truth maintenance, and lawful adaptation.