Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • CAREER COLUMN

What’s the best chatbot for me? Researchers put LLMs through their paces

When it comes to large language models, there’s one for every occasion. Find the most appropriate match for you in our AI speed-dating feature.
  1. Elizabeth M. Humphries

    1. Elizabeth M. Humphries is a postdoctoral fellow in the Fred Hutchinson Cancer Center Data Science Lab in Seattle, Washington.

    View author publications

    You can also search for this author in PubMed  Google Scholar

  2. Carrie Wright

    1. Carrie Wright is a senior staff scientist in the Fred Hutchinson Cancer Center Data Science Lab in Seattle,

    View author publications

    You can also search for this author in PubMed  Google Scholar

  3. Ava M. Hoffman

    1. Ava M. Hoffman is a senior staff scientist in the Fred Hutchinson Cancer Center Data Science Lab in Seattle, Washington.

    View author publications

    You can also search for this author in PubMed  Google Scholar

  4. Candace Savonen

    1. Candace Savonen is a data scientist in the in the Fred Hutchinson Cancer Center Data Science Lab in Seattle, Washington.

    View author publications

    You can also search for this author in PubMed  Google Scholar

  5. Jeffrey T. Leek

    1. Jeffrey T. Leek is vice-president and chief data officer of the Fred Hutchinson Cancer Center and director of the Fred Hutchinson Cancer Center Data Science Lab in Seattle, Washington.

    View author publications

    You can also search for this author in PubMed  Google Scholar

The widely hyped and controversial large language models (LLMs) — better known as artificial intelligence (AI) chatbots — are becoming indispensable aids for coding, writing, teaching and more. Their growing popularity has been matched by an increase in user-friendly options that are accessible through Internet browsers. By our count, there are at least eight major options, and even more niche ones; you might have even tried a few. But you probably haven’t had time to systematically test your prompts on several bots at once, so you might not be getting the most out of them.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

doi: https://doi.org/10.1038/d41586-023-03023-4

This is an article from the Nature Careers Community, a place for Nature readers to share their professional experiences and advice. Guest posts are encouraged.

References

  1. Ziwei, J. et al. ACM Comput. Surv. 55, 248 (2023).

    Article  Google Scholar 

Download references

Competing Interests

J.T.L. teaches Coursera courses that cover topics in AI, which generate revenue; is a co-founder of a company, Synthesize Bio, that uses AI but does not develop LLMs; and is a co-foudner of a Papr, a company that is developing an app for rapid peer review.

Subjects

Latest on:

Nature Careers

Jobs

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing

Search

Advanced search

Quick links