This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In fact, according to Lucidworks’ global generative AI benchmark study released August 10, 96% of executives and managers involved in AI decision processes are actively prioritizing generative AI investments, and 93% of companies plan to increase their AI spend in the coming year. You have to get your data and annotate it,” he says. “So
It’s a cost-effective and time-efficient way for businesses to get valuable background information, trends, and benchmarks, helping them make strategic decisions and complementing their primary research efforts. This data type is readily accessible and specific to the organization , making it highly relevant for internal analysis.
Innovative companies use competitive intelligence to benchmark against competitors and see which ones are growing stronger or executing particularly well. Competitor analysis helps companies make better strategic decisions and rise to the top.
LLM benchmarks could be the answer. LLM benchmarks are the measuring instrument of the AI world. The value of benchmarks lies in their ability to bring order to the diversity of models. The quality and diversity of the data sets used is crucial to the validity of a benchmark.
We organize all of the trending information in your field so you don't have to. Join 11,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content