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Practical Generative AI with ChatGPT
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Fast forward from November 2022 to today, we have witnessed a huge amount of innovation in the field of GenAI. Many of these innovations are linked to the brand-new models developed and released to the public, like the OpenAI’s GPT-4o and DALL-E3, but also Google Gemini, Meta Llama 3, Microsoft Phi3 and many others.
However, the most remarkable achievements probably lie in the way we interact with and build applications around those models. In this section, we are going to explore three main advancements that have marked the most popular reference architectures for GenAI-powered applications.
One of the first limitations of ChatGPT and, generally speaking, of LLMs, was that of the knowledge base cutoff. In fact, the knowledge of LLMs is limited to the training set (made od public information from the internet) they have been trained on and, as long as this can be exhaustive, it’s not up to date...