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Inversion: fast, reliable structured LLMs (rysana.com)

AI LLM structured inference Developer Experience innovation

Inversion is a family of structured language models designed to solve speed, reliability, and reasoning issues in traditional AI systems, achieving up to 100× faster speeds and significantly lower latency.
Main Points
- Inversion models are highly efficientInversion models achieve high speed and reliability in structured tasks with less overhead and latency.
- Dynamic acceleration of inferenceInverted inference process leverages compiled structures to dynamically adjust compute needs, leading to acceleration.
- Continuous improvement in model performanceNew model generations aim for further improvements in latency, reliability, and quality.
- Prioritizing developer experienceDeveloper experience focuses on ensuring outputs always match expected data types.
- Advances in processing and input handlingExperiments promise significant advancements in attention processing and input handling.
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Ash 3.0 Teasers! (elixirforum.com)

Elixir Developer Experience Security Domain Modeling Ash 3.0

Ash 3.0 Teasers unveil a range of improvements, emphasizing domain modeling, security, and developer experience. Key features include centralized action definitions, domain-specific policies, increased action safety through explicitness, and comprehensive documentation enhancements.
Main Points
- Centralized action definitions through code interfacesAsh 3.0 introduces code interfaces on domain modules, centralizing action definitions and emphasizing domains in application structuring.
- Simplified security with domain-specific policiesDomain-specific policies in Ash 3.0 enable broad application of authorization logic, simplifying security management.
- Enhanced action safety and explicitnessThe new version prioritizes safety and explicitness in actions, making it necessary to explicitly declare attributes that an action accepts.
- Improved developer experience and documentationDeveloper experience improvements include enhanced autocomplete support and comprehensive documentation, particularly around code interfaces.
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