Generative AI and LLMs for Dummies
Snowflake Special Edition
The author has acquired a copy.
One needs to be creative when completing the form if you're not a business.
Access the ResourceThe Role of Data in AI Projects
- As impressive as they are at language generation, reasoning, and translation [read People also ask], gen AI applications that have been built on public data can't realize their full potential in the enterprise until they're coupled with enterprise data stores.
- Most organizations store massive amounts of data, both on-premises and in the cloud.
- Many of these businesses have data science practices that leverage structured data for traditional analytics, such as forecasting.
- To maximize the value of gen AI, these companies need to open up to the vast world of unstructured and semistructured data as well.
MIT Research Findings
According to a February 2021 report from MIT titled "Tapping the Power of Unstructured Data", 80 to 90 percent of data is unstructured — locked away in text, audio, social media, and other sources.
Referencing added. Links added. This content represents a random sample from the resource.