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https://finance.yahoo.com/news/china-building-parallel-generative-ai-150129822.html

After text-to-image tools from Stability AI and OpenAI became the talk of the town, ChatGPT's ability to hold intelligent conversations is the new obsession in sectors across the board.

Generative AI has trust and quality issues: needs better trust, transparency, verifications with SLT

https://www.cnet.com/tech/google-lets-people-start-trying-bard-its-own-ai-chatbot/

SLT - Shared Ledger Technology - can make Generative AI better

It can add better: trust, transparency and verifications

Enterprise AI Solutions & Operations in the Cloud

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You can also post bug reports and feature requests (only) in GitHub issues. Make sure to read our guidelines first.

Kubeflow

https://www.kubeflow.org

https://github.com/kubeflow/

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https://www.kubeflow.org/docs/about/kubeflow/

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

Getting started with Kubeflow

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AI solution devops concepts

Containers make operation and management of AI solutions safer, easier

article - Benefits-of-containers-for-AI-workloads

The benefits of containerization for AI development include dependency management, environment consistency, scaling, resource consumption efficiency, isolation, reproducibility, security, latency control, versioning and cost management.

1. Dependency management and app segregation

2. Consistent environment

3. Scalability with Kubernetes

4. Resource efficiency compared to pure VMs w lower platform lockin

5. Isolation - reasonably well

6. Security - over apps in shared server

7. Latency with separate services for independent scaling with limited overhead

8. Version control w separation of app instances for different configurations

9. Reproducibility with snapshots of the container environment as needed

10. Reduced staff costs - maybe

Containers integrate well with CI/CD pipelines, facilitating automated testing and deployment. With less manual intervention from development to deployment, human errors should be decreased. These aspects reduce potential expenses related to bug fixes and downtime.

Kubernetes provides common management for AI solutions across environments and platforms

Kubeflow

https://www.kubeflow.org

https://github.com/kubeflow/

The Machine Learning Toolkit for Kubernetes

https://www.kubeflow.org/docs/about/kubeflow/

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

Getting started with Kubeflow

Read the Kubeflow overview for an introduction to the Kubeflow architecture and to see how you can use Kubeflow to manage your ML workflow.

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https://www.forbes.com/sites/vipinbharathan/2023/06/25/guardrails-for-ai-what-is-possible-today/?sh=150eef613a0d

“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.” The Center for AI Safety published this single statement as an open letter on May 30, 2023.

OWASP and AI Governance of LLM ( current technology )

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https://www.forbes.com/sites/vipinbharathan/2023/06/25/guardrails-for-ai-what-is-possible-today/?sh=150eef613a0d

The architecture of an emerging startup, Modguard, in the accompanying diagram, gives us a path towards compliance with these laws

Image Modified

EU AI Regulations

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Secretary of Commerce has a lead role in defining rules for AI model and service management

" The Secretary of Commerce, in consultation with the Secretary of State, the Secretary of Defense, the Secretary of Energy, and the Director of National Intelligence, shall define,"

Assignments > Objectives with normal time limits less than 1 year for reporting on impacts, goals, strategies by agency

Identifies responsibity concepts for businesses in building, using AI in commerce

Fact Sheet on Executive Order for Responsible AI

https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence/

New Standards for AI Safety and Security

developers of the most powerful AI systems share their safety test results and other critical information with the U.S. government

 standards, tools, and tests to help ensure that AI systems are safe, secure, and trustworthy

Protect against risks to people, organizations, ecosystems, systems

Reduce fraud, deception, misinformation 

Protect Privacy and Rights

Promote Innovation

Promote American Leadership ( or better partnerships ?? )

Effective governance for Responsible AI

NIST Proposed AI Risk Mgt Framework

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AI will decide to improve by reinventing its form as organic beings automating growth, nutrition, with faster and more complex processing modes

ML and AI Governance

Trusted ML apps with ZKP - Daniel Szego

Tokenized Zero Knowledge Machine Learning and Its Applications-Daniel-Szego-2024.pdf.   link

Tokenized Zero Knowledge Machine Learning and Its Applications-Daniel-Szego-2024.pdf. file

Hi Daniel,

Thanks for your article and demo on Tokenized Zero Knowledge ML apps. Really clear, well done. I didn't connect a wallet but did run the simple online tests.

Can I interest you in doing a 1 hour presentation to the Hyperledger Meetup and Public Sector groups on your article? I think it's really important for the community. I lead the Boston and Public Sector groups.

Thanks

Jim

Candidate Solutions

Google Foundation Models based on PALM2 FOR AI solutions

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