Large language models like GPT-3 arent good enough for pharma and finance

Big Models, Bad Math: The GenAI Problem In Finance To overcome the problem of hallucination, Yseop relies on having humans in the loop at every stage. The company’s algorithms and neural networks are co-developed by math wizards, linguistics experts, and AI developers. Their databases consist of data sourced directly from the researchers and businesses being …

Read moreLarge language models like GPT-3 arent good enough for pharma and finance

Big Models, Bad Math: The GenAI Problem In Finance

LLMs In Finance: Balancing Innovations With Accountability If you come across an LLM with more than 1 trillion parameters, you can safely assume that it is sparse. This includes Google’s Switch Transformer (1.6 trillion parameters), Google’s GLaM (1.2 trillion parameters) and Meta’s Mixture of Experts model (1.1 trillion parameters). LLMs’ greatest shortcoming is their unreliability, …

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