dsaed

5 ms·

1.
by dsaed 2y ago
To accelerate our industry’s path to an open standard, we have submitted KitOps to the CNCF so that others can more easily contribute to it, and benefit from it.
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KitOps modules are now available on the Daggerverse(daggerverse.dev)
4 points by dsaed 2y ago|0 comments
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How to Run Meta Llama 3.1 405B with Nebius AI Studio API(nebius.com)
1 points by dsaed 2y ago|0 comments
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by dsaed 2y ago
KitOps is a packaging, versioning, and sharing system for AI/ML projects, using open standards to work seamlessly with your existing AI/ML, DevOps, and development tools, all stored in your enterprise container registry. KitOps ge
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ModelKit: Transforming AI/ML artifact sharing and management across lifecycles(kitops.ml)
12 points by dsaed 2y ago|1 comments
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by dsaed 2y ago
As an OCI-compliant packaging format, ModelKit encapsulates datasets, code, configurations, and models into a single, standardized unit. This approach not only streamlines the development process but also ensures broad compatibility and int
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by dsaed 2y ago
Yes, it supports around 50 OCI registries and tools.
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KitOps: Only Standards-Based Packaging and Versioning Tool for AI/ML Projects(kitops.ml)
17 points by dsaed 2y ago|2 comments
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Honeycomb – A Case Study in Fine Grained Authorization(permit.io)
4 points by dsaed 2y ago|0 comments
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by dsaed 2y ago
AI is everywhere, but security and privacy remain major concerns. Tools that leverage LLMs offline and maintain strong context awareness can offer the best solution for assisting users while safeguarding their privacy.
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Ask HN: Best practices for the 24 hours before a Product Hunt launch?
1 points by dsaed 2y ago|0 comments
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Tool that can bring MFST "recall" feature" to any PC platform with added privacy
6 points by dsaed 2y ago|2 comments