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JFrog & Qwak: Accelerating Models Into Production – The DevOps Way

Blog post from JFrog

Post Details
Company
Date Published
Author
Yuval Fernbach, JFrog VP and CTO MLOps
Word Count
1,435
Company Posts That Month
5
Language
English
Hacker News Points
-
Post removed?
No
Summary

Qwak's integration into the JFrog family marks a strategic milestone aimed at enhancing both companies' capabilities in delivering machine learning (ML) and artificial intelligence (AI) applications. Founded to empower ML engineers, Qwak's platform addresses challenges in building, training, and deploying ML models, particularly with the rise of generative AI and large language models (LLMs). The collaboration with JFrog focuses on bridging MLOps with DevSecOps, providing accelerated development, enhanced security, and improved collaboration across teams. This integration offers a unified pipeline for ML model management, robust version control, and compliance measures to ensure secure and efficient deployment. Together, JFrog and Qwak aim to streamline the production of ML models, providing a "model as a package" approach that facilitates a trusted software supply chain, thereby enabling organizations to meet the increasing demands of AI initiatives with confidence and efficiency.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 4 3,003 371 151 +0%
AI Model Fine-tuning 2 893 127 70 +79%
Real-time 2 2,587 688 208 +9%
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