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Technology
by Özgür Demir
Prior to training AI models, it is thus crucial to eliminate PII from datasets to safeguard individual privacy and adhere to data protection regulations such as GDPR, CCPA, and HIPAA.
Read PostTechnology
by Özgür Demir
The current stack of technologies a ML Engineer / Data Scientist needs to know is quite large.
Read PostTechnology
by Özgür Demir
One of the first steps when embarking on a real-world machine learning (AI) project is to consider metrics and Key Performance Indicators (KPIs) for evaluating a model's performance.
Read PostProcess
by Özgür Demir
Many data scientists, especially those with an academic background, solely focus on model prediction performance. However, in industrial settings, other factors like maintainability, scalability, and explainability are equally important.
Read PostProcess
by Özgür Demir
Job interviews aren't just about being questioned; they're an opportunity for you to explore the company and role you’re interviewing for. Discover how asking the right questions can guide you toward the perfect company and role fit.
Read PostTechnology
by Özgür Demir
Most companies use publicly available APIs to incorporate LLMs into their own products. While this is not a bad approach, especially if you're just starting with LLMs, it also has some drawbacks.
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