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Why use the human-in-the-loop (HITL) approach in ML?
Did you hear about the self-driving Uber car that hit and killed a woman in Arizona? On another occasion, a facial recognition solution profiled an innocent man of color as a criminal in New Jersey, and Amazon’s AI-powered recruitment tool displayed bias against female candidates.
Sep 248 min read


LLM training: the process, stages, and fine-tuning gritty details
Have you ever tried to learn how a large language model works under the hood? Behind every smart AI tool lies an intensive but really fascinating training regimen. Training large language models (LLMs) is not a one-and-done activity—it’s a multi-stage process that turns raw data into powerful instruction datasets. From processing billions of words to mastering the art of not saying the wrong thing—the path from a blank-slate model to a specialized AI assistant is truly extrao
Jun 99 min read


How synthetic data generation using generative AI helps create better, more efficient models
How synthetic data generation using generative AI helps create better, more efficient models
Dec 22, 20248 min read
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