Good old-fashioned AI remains viable in spite of the rise of LLMs

, By Team SNFYI
Artificial IntelligenceTech

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Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? That approach seemed to go out the window with the rise of generalized LLMs, but the fact is generalized […]

© 2023 TechCrunch. All rights reserved. For personal use only.

Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? That approach seemed to go out the window with the rise of generalized LLMs, but the fact is generalized
© 2023 TechCrunch. All rights reserved. For personal use only.  

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Good old-fashioned AI remains viable in spite of the rise of LLMs

, Published By Team SNFYI
Artificial IntelligenceTech

 ​

Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? That approach seemed to go out the window with the rise of generalized LLMs, but the fact is generalized […]

© 2023 TechCrunch. All rights reserved. For personal use only.

Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? That approach seemed to go out the window with the rise of generalized LLMs, but the fact is generalized
© 2023 TechCrunch. All rights reserved. For personal use only.  

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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Previous News
TC+ Roundup: Forestry tech is at an inflection point
Next News
KyberSwap hacker wants control, law firm says Aussie DeFi tax rules ‘non-binding’: Finance Redefined
Team SNFYI

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