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The public has been fascinated by the experience of interacting with large language models, or LLMs, like OpenAI's ChatGPT and Google's Gemini. Inaccuracies, called hallucinations, continue to appear in LLM output. Some lawyers, among others, continue to use these outputs without verifying their accuracy. Doing so damages their work product and reputations.
In this episode of Exploring AI Matters we will be looking at current work with LLMs that plays to their strengths and involves a lower risk of inaccurate outputs. In particular we will look at the use of LLMs to translate between languages.
In this episode we talk with Archie McKenzie, the founder of a Silicon Valley startup that is offering internationalization services to software teams.
By MarcThe public has been fascinated by the experience of interacting with large language models, or LLMs, like OpenAI's ChatGPT and Google's Gemini. Inaccuracies, called hallucinations, continue to appear in LLM output. Some lawyers, among others, continue to use these outputs without verifying their accuracy. Doing so damages their work product and reputations.
In this episode of Exploring AI Matters we will be looking at current work with LLMs that plays to their strengths and involves a lower risk of inaccurate outputs. In particular we will look at the use of LLMs to translate between languages.
In this episode we talk with Archie McKenzie, the founder of a Silicon Valley startup that is offering internationalization services to software teams.