Language agents help large language models ‘think’ better and cheaper
The large language models that have increasingly taken over the tech world are not “cheap” in many ways. The most prominent LLMs, GPT-4 for instance, took some $100 million to build in the form of legal costs of accessing training data, computational power costs for what could be billions or trillions of parameters, the energy … Read more
