7 segment display font autocad8/22/2023 ![]() ![]() Large language models emerged as a consequence of availability of Internet-wide large datasets and parallelizable AI accelerators, initially CPUs, allowing fast enough computation. Notable LLMs include GPT-4, LLaMa, PaLM, BLOOM, Ernie 3.0 Titan, and Claude. Older, specialized supervised models for specific linguistic tasks, have been made largely obsolete by the emergent abilities of LLMs, which are thought to acquire embodied knowledge about syntax, semantics and "ontology" inherent in human language corpora, but also inaccuracies and biases present in the corpora. The 2017 invention of the transformer architecture drove a series of breakthroughs in LLM development. ![]() As language models, they work by taking an input text and repeatedly predicting the next token or word. They are trained using specialized AI accelerator hardware to parallel process vast amounts of text data, mostly scraped from the Internet. They are built with artificial neural networks, (pre-)trained using self-supervised learning and semi-supervised learning, typically containing tens of millions to billions of weights. ![]() A large language model ( LLM) is a language model characterized by emergent properties enabled by its large size and the transformer-based attention mechanism. ![]()
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