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Lawrence Hecht

Transforming Information Into Knowledge

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Lawrence Hecht

Transforming Information Into Knowledge

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Tag: LLM

March 31, 2025May 9, 2025Snippet of The New Stack article

Observability Is Most Cited Challenge for ML and LLM Adoption

Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in the fourth quarter of 2024. The other key takeaway is that custom-built tools […]

developer unemployment at highest level since 2019 accompanied by rise in self employed and contractors
July 27, 2024February 14, 2025Snippet of The New Stack article

Salary Pressures, Not AI, Vex Developers, Says Stack Overflow

Professional developers’ adoption of AI tools in the development process has risen rapidly, going from 44% in 2023 to 62% in 2024.

54% of ml or data science specialists utilize pytorch
August 23, 2023February 14, 2025Snippet of The New Stack article

How Important Is Open Source to AI Adoption?  

Among the whopping survey respondents who are using or planning to use LLMs, only 27% actually expect a commercial version to be used in production. Almost half (47%) of those with no plans to use a commercial LLM cited a desire not to share proprietary information with vendors. In comparison, only 17% said the reason is because commercial LLMs are too expensive to scale.

infrastructure code deployment with a delivery pipeline
May 15, 2017February 14, 2025Published in The New Stack Update

Going All In on Infrastructure-as-Code

Infrastructure code needs the same best practices used with application code, but as Dawn Foster told TNS readers, buggy software is foiling dreams of infrastructure-as-code. A recent survey by Justin Garrison, a systems engineer at Walt Disney Animation Studios, sheds light on how often continuous delivery and unit testing […]

© 2025 Lawrence Hecht.