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Large Language Models Aren‘t the Silver Bullet for Conversational AI

2 years ago thenewstack.io
Large Language Models Aren‘t the Silver Bullet for Conversational AI

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

Machine Learning’s Large Language Models (LLMs) — like https://thenewstack.io/beware-chatgpt-a-language-model-in-the-shape-of-shakespeare/, https://thenewstack.io/openais-gpt-3-makes-big-leap-forward-for-natural-language-processing/ and BERT — have recently captured the attention of the world. Put simply, LLMs are artificial intelligence (AI) tools that read, summarize, translate and generate text.

The excitement around large language models is similar to what we saw early on with computer vision.

For example, you could use an LLM as a starting point for a conversational AI system built for customer support.

Similar to traditional LLMs, additional layers of controllability will allow businesses to create never-before-seen custom conversational AI use cases with ChatGPT.

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