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YOLOv9: Computer vision is alive and well
Practical AI: Machine Learning, Data Science, LLM
Strategic Approach to AI Project Stages
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When embarking on an AI project, it is advisable to begin with exploring off-the-shelf models to understand if they suit the project's use case before fine-tuning or investing in specialized infrastructure. For generative AI use cases, tools like Olama and LM Studio can be experimented with locally. Next, consideration for the project's nature determines deployment decisions; for mobile apps processing private data, running models at the edge may be ideal, while for web apps, hosting via public endpoints or secure local environments is more suitable. This strategic decision-making process is increasingly integrated with software architecture, reflecting the growing importance of MLOps akin to DevOps in deployment and management strategies.
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