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Generative AI Beyond LLMs
Exploring generative models beyond LLMs, their applications, risks, mitigation strategies, and a live demo comparing confidence to practical real-world outcomes.
Generative AI is the most popular AI approach as today, every day a new model, a new metric and a new use case about GPT related technologies are making a revolution in our world, but generative AI is more than just LLMs, generative AI is a whole branch of use cases that we have been using in our live since years ago. Some implementations such as outliers detection, image filtering (as Instagram filters), word predictors and data augmentation have revolutionized the tech industry
All generative models bring the feature of learning (or mimic) a distribution based on sampling, so all outputs from generative models are in essence unreliable
In this talk I’ll be showing the gradients of generative models, how they can be used, what are the risks and how can we mitigate them. I’ll be bringing a small demo on generative AI to explore how these complex models perform under the hood and how can be approach to a real confidence in comparison to the real world