Large language models: 6 pitfalls to avoid

There has recently been incredible progress in artificial intelligence (AI), due mainly to the advances in developing large language models (LLMs). These are the beating heart of text and code generation tools such as ChatGPT, Bard, and GitHub’s Copilot.

These models are on course for adoption across all sectors. But serious concerns remain about how they are created and used—and how they can be abused. Some countries have decided to take a radical approach and temporarily ban specific LLMs until proper regulations are in place.

Let’s look at some real-world adverse implications of LLM-based tools and some strategies to mitigate them.

1. Malicious content

LLMs can improve productivity in many ways. Their ability to interpret our requests and solve fairly complex problems means we can offload mundane, time-consuming tasks to our favorite chatbot and simply sanity-check the results.

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