What are large language models — and how are they used in generative AI?

When ChatGPT arrived in November 2022, it made mainstream the idea that generative artificial intelligence (AI) could be used by companies and consumers to automate tasks, help with creative ideas, and even code software.

If you need to boil down an email or chat thread into a concise summary, a chatbot such as OpenAI’s ChatGPT or Google’s Bard can do that. If you need to spruce up your resume with more eloquent language and impressive bullet points, AI can help. Want some ideas for a new marketing or ad campaign? Generative AI to the rescue.

ChatGPT stands for chatbot generative pre-trained transformer. The chatbot’s foundation is the GPT large language model (LLM), or a computer algorithm that processes natural language inputs and predicts the next word based on what it’s already seen. Then it predicts the next word, and the next word an so on until its answer is complete.

In the simplest of terms, LLMs are next-word prediction engines.

Along with OpenAI’s GPT-3 and 4 LLM, popular LLMs include open models such as Google’s LaMDA and PaLM LLM (the basis for Bard), Hugging Face’s BLOOM and XLM-RoBERTaNvidia’s NeMO LLMXLNetCo:here and GLM-130B.

Open-source LLMs in particular, are gaining traction, enabling a cadre of developers to create more customizable models at a lower cost. Meta’s February launch of LLaMA (Large Language Model Meta AI) kicked off an explosion among developers looking to build on top of open-source LLMs.

Source : https://www.computerworld.com/article/3697649/what-are-large-language-models-and-how-are-they-used-in-generative-ai.html#tk.rss_all

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