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the principle problem with symbolic AI is always that people still need to manually encode their knowledge of the entire world in the symbolic AI program, rather than enabling it to look at and encode relationships By itself.
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an increase in large language styles or LLMs, such as OpenAI’s ChatGPT, creates an unlimited change in overall performance of AI and its opportunity to push business benefit. With these new generative AI practices, deep-learning versions is usually pretrained on huge amounts of data.
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risk actors can goal AI styles for theft, reverse engineering or unauthorized manipulation. Attackers might compromise a product’s integrity by tampering with its architecture, weights or parameters; the core parts that figure out a product’s conduct, precision and effectiveness.
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