Deep Learning needs context
Over the past few weeks, models have been the focus of interest for our listeners.16 Dec 2021
In our year-end episode, we look back at 2021 with Deep Learning pioneer Prof. Dr. Sepp Hochreiter. In addition to the training and marketing of models, Hochreiter believes Deep Learning needs more context. Humans remember situations – for example, they associate a white dress with weddings, love and other types of celebrations. But, says Hochreiter, “AI only recognizes the white dress.” It lacks memory, experience (laws, episodes, associations). To humans, many things seem immediately familiar. In this case, our systems fail. This is what we are researching. In the podcast conversation (German language), Hochreiter discusses how he feels about GPT 3, why he supports Clip from Open AI and what Hopfield networks can do in the future.
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