Jesse Williams articles - 48 total
KitOps: Bringing DevOps Discipline to Machine Learning Artifacts
Yesterday, KitOps project lead and Jozu CTO, Gorkem Ercan joined Docker Captain, Brett Fisher to...
Jozu Hub–Your private, on-prem Hugging Face registry
We've covered how to secure and deploy Hugging Face models with Jozu Hub, creating a solid pipeline...
Advanced LLM Security Best Practices You Must Know
Large Language Models (LLMs) process a wealth of sensitive information. They also introduce serious...
Automating ML Pipeline with ModelKits + GitHub Actions
Building machine learning (ML) applications doesn’t end with training the models. Managing machine...
10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
Building and shipping solutions faster has become the benchmark for innovation today. However, for...
Deploying ML projects with Argo CD
Machine learning (ML) projects often involve numerous dependencies, convoluted model management...
Accelerating ML Development with DevPods and ModelKits
In this guide, you will learn how to quickly create a virtual development environment for your ML...
We built KitOps to simplify the deployment, management, and security of your AI projects. It's awesome to see community members finding value.
7 Kubernetes Tools that will end your Infrastructure...
Why We Need Purpose-Built Platform Engineering Tools for AI/ML
Artificial Intelligence (AI) or Machine Learning (ML)-powered applications are rapidly transforming...
AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
Most businesses today leverage different methodologies and tools to keep their systems running...
Understanding the MLOps Lifecycle
Imagine you spend weeks building a machine learning algorithm to predict churn rates. The model...
Platform Engineering vs. MLOps: Key Comparisons
\Organizations must streamline traditional software development and machine learning (ML) workflows...
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How to Turn Your OpenShift Pipelines Into an MLOps Pipeline
Note, this post was updated to resolve technical inacuracies, published in the original post on...
Why are KitOps and #MLflow the perfect pair for ML projects? Together, they allow developers to set up AI projects in minutes, monitor and compare experiments, and deploy models seamlessly to production. This tutorial will help you master it
How to Use KitOps with MLflow ...
How to Use KitOps with MLflow
As artificial intelligence (AI) projects grow in complexity, managing dependencies, maintaining...
Jozu Hub vs. Docker Hub? Which One Works Best for AI/ML?
Container registries like Jozu Hub and Docker Hub offer developers a way to manage their container...
Deploying AI Projects Through a Jenkins Pipeline
Note, this post has been updated since it's original publication date on November 20, 2024. Imagine...
20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
Open source AI tools offer ML developers and data scientists a cost-effective way to build, share,...
The Fastest Way to Start Your AI Project–Quickstart ModelKits
The potential of AI projects is immense, but data science and machine learning teams often face...
AI Security: How to Protect Your Projects with Hardened ModelKits
Securing AI systems has become a critical focus as generative AI (GenAI) advances bring new threats...
KitOps Community Newsletter #0002
Hey everyone! October has come to a close and so has the 2024 Hacktoberfest! This was our first...
What AI/ML Models Should You Use and Why?
Machine learning (ML) engineers and data scientists regularly need to choose the right machine...
Top Threats for AI/ML Development and How to Eliminate Them
According to a recent McKinsey & Company report, global adoption of artificial intelligence...
10 MLOps Tools That Comply With the EU AI Act
The EU AI Act has introduced strict guidelines to regulate the development and deployment of AI...
Building an MLOps pipeline with Dagger.io and KitOps
According to industry analysts, over 85% of machine learning models will never make it to production....
Free Online Tutorials to Help You Develop Machine Learning Applications
The machine learning (ML) and data science space have always been interesting, particularly because...
Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
The AI boom has been characterized by huge advancements in research and computing hardware, with open...
From Proprietary Data to Expert AI with Lamini and KitOps
If you’ve used ChatGPT or similar services, you know it’s a flexible chatbot that can help with tasks...
Critical LLM Security Risks and Best Practices for Teams
Large language models (LLMs) have received global attention in recent years. LLMs such as ChatGPT,...