From Proprietary Data to Expert AI with Lamini and KitOps
Build AI tailored to your data. Fine-tune LLMs with Lamini and deploy securely using KitOps for maximum privacy and ease of integration.
Jesse Williams COO/CMO · September 24, 2024
The Jozu Blog
Critical LLM Security Risks and Best Practices for Teams
Protect your LLMs from data breaches and attacks. Explore the critical security risks and strategies to protect your models and sensitive data.
Jesse Williams COO/CMO · September 17, 2024
How to Extend Your DevOps Pipeline to MLOps with KitOps
Learn how to unify DevOps and MLOps pipelines with an open-source tool, reducing costs and complexity in ML model deployment and operations.*
Jesse Williams COO/CMO · September 4, 2024
Turn Your Existing DevOps Pipeline Into an MLOps Pipeline With ModelKits
In today’s world, where almost every company is embracing artificial intelligence (AI) and machine learning (ML) into their software offering, maintaining two separate pipelines for ML-powered software systems and conventional software projects can pose challenges. This also introduces friction within the team, which can slow down the development and deployment process.
Jesse Williams COO/CMO · August 27, 2024
Empowering Developers with Advanced Machine Learning Knowledge
Advance your career with Jozu Learning Center, a free resource for software developers who want to learn about ML.
Jesse Williams COO/CMO · August 26, 2024
From Jupyter Notebook to deployed application in 4 steps
Deploy your Jupyter Notebook effortlessly with a ModelKit. Learn the 4-step process from unpacking and fine-tuning to pushing and deploying your ML models.
Jesse Williams COO/CMO · August 14, 2024