Generative AI
Discover the fundamentals of generative AI and how it differs from traditional ML methods. Learn about language models like GPT-4 and image generators such as DALL-E, their processes, security concerns, and applications. Understand the challenges and limitations of these models to better mitigate risks in ML pipelines.
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Generative AI is a highly studied field at the moment due to the rising popularity of language models (LMs) and GANs. Certainly one of the flashiest types of ML algorithms, GenAI algorithms are different from traditional ML because they’re not meant to predict; they use training data to create semi-original content. GANs are commonly used for creating synthetic rows, for example, but other more famous algorithms like Stable Diffusion or GPT-4 allow for more varied and creative outputs.
Language models
With the rise of ChatGPT, the hype around language modeling has never been greater. However, language modeling originated quite a long time ago and has only recently come to the spotlight. LMs are simply ways of ...