MLOps

05 Nov

Top 10 MLOps Tools for 2025

stp2y0 CommentsNewscoding, community, development, devops, engineering, inclusive, machinelearning, MLOps, software

With the rapid growth of AI, MLOps tools are becoming a must-use for research and development teams. These tools simplify the development, deployment, and management of machine learning models, making complex processes more manageable. There's a huge demand for ML support. 86% of organizations needed help generating business value from their machine learning (ML) investments in 2023. Hence, MLOps tools address these issues by automating recurring tasks, ensuring reproducibility, and freeing up teams to focus on innovation. What are MLOps Tools? MLOps, which stands for Machine Learning Operations, is a set of practices that weave machine learning into software and data engineering. It…

31 Oct

Distill Your LLMs and Surpass Their Performance: spaCy’s Creator at InfoQ DevSummit Munich

stp2y0 CommentsNewsai, Architecture & Design, development, efficient mlops llm distillation, large language models, ML & Data Engineering, MLOps, Model Distillation

In her presentation at the inaugural edition of InfoQ Dev Summit Munich, Ines Montani built on top of the presentation she had earlier this year at QCon London and provided the audience with practical solutions for using the latest state-of-the-art models in real-world applications and distilling their knowledge into smaller and faster components that you can run and maintain in-house. She began by stating that using black box models hidden behind APIs would prevent us from satisfying the properties of good software: modular, transparent, explainable, data-private, reliable, and affordable. Further, Montani pointed out that GenAI can be helpful in multiple situations…