Large Language Models (LLM): Top 3 of the Most Important Methods

Author(s): Anil Tilbe

Originally published on Towards AI.

3 requirements to ensure your large language models (LLMs) you are training or working with provide optimal outputs and results

By ThisIsEngineering from Pexels

Large language models (LLM) currently apply across natural language specific implementations, such as machine translation, speech recognition, and text generation. LLMs are trained on large amounts of data and can be composed of many layers.

Example 1: Google Translate is a large language model that uses artificial intelligence to translate one language into another. It supports over 100 languages and can handle multiple dialects of each language. Foundationally, Google Translate’s use of LLM informs the translations between languages. Furthermore, because many users interact with it on a daily basis, the model is continuously updated.

In more detail: When someone… Read the full blog for free on Medium.

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Published via Towards AI