Kit is an open source #MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools
Explore a complete MLOps workflow using
→ KitOps for model packaging
→ Cog for local testing
→ KAITO for scalable Kubernetes deployment
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We built #KitOps to simplify the way AI/ML artifacts are shared and managed throughout the lifecycle of a projects. A big pain point for developers and DevOps teams.
We did this by building #ModelKits.
As an OCI-compliant packaging format, a ModelKit encapsulates datasets,
Fine-tune your first LLM today.
Getting started with LLMs can be intimidating.
This tutorial will walk you through fine-tuning a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
dev.to/kitops/fine-tu…
The friction in the #AIML development process is overwhelming.
Jupyter notebooks are great ... and suck ...
Containers, not optimal ...
The divide between data scientist and DevOps is growing ...
What do we do? Let's talk about it!
dev.to/kitops/why-ent…
When working on AI Projects, the collaboration process between data scientist, application engineers, and DevOps/SRE teams can become bottlenecked or even strained.
A lot of this has to do with the tools they are using and how compatible they are. In this post, we explore how
Awesome post by @nevodavid on @ThePracticalDev this morning to get you started with hosting and tuning your own models.
It covers how the team at @winglangio is building an #LLM to answer questions in their docs.
#TLDR - they tuned an LLM with Autotrain by @huggingface
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This weekend KitOps broke 200 stars on GitHub!
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Thanks for supporting our mission of easier AI project development. 🚀🚀🚀🚀🚀🚀
#KitOps#GitHubStars#SoftwareDevelopment#AIML
10 #OpenSource tools you can use to build an MLOps pipeline:
KitOps (kitops.ml) - KitOps, treats all components in an ML project as a single software unit, making it easier to package, version, and track those components.
This is called a ModelKit, and is based
We reached 150 #GitHub stars this weekend!
Thanks for the support everyone - We have an exciting release coming this week, keep an eye out 😉
Not familiar with the project? Check it out: github.com/jozu-ai/kitops
We're making it way easier to work with your AI projects.
#MLOps