AWS Machine Learning - AI
NOVEMBER 27, 2024
Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.
CIO
OCTOBER 24, 2024
We end up in a cycle of constantly looking back at incomplete or poorly documented trouble tickets to find a solution.” Educate and train help desk analysts. Equip the team with the necessary training to work with AI tools. The number one help desk data issue is, without question, poorly documented resolutions,” says Taylor.
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CIO
AUGUST 21, 2024
Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises. Not so with unstructured content.
CIO
SEPTEMBER 9, 2024
But Stephen Durnin, the company’s head of operational excellence and automation, says the 2020 Covid-19 pandemic thrust automation around unstructured input, like email and documents, into the spotlight. “We This was exacerbated by errors or missing information in documents provided by customers, leading to additional work downstream. “We
CIO
AUGUST 21, 2024
As explained in a previous post , with the advent of AI-based tools and intelligent document processing (IDP) systems, ECM tools can now go further by automating many processes that were once completely manual. That relieves users from having to fill out such fields themselves to classify documents, which they often don’t do well, if at all.
Cloudera
NOVEMBER 13, 2024
LLMs deployed as internal enterprise-specific agents can help employees find internal documentation, data, and other company information to help organizations easily extract and summarize important internal content. Given some example data, LLMs can quickly learn new content that wasn’t available during the initial training of the base model.
CIO
JANUARY 9, 2025
The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. Traditionally, such an application might have used a specially trained ML model to classify uploaded receipts into accounting categories, such as DATEV. This makes their wide range of capabilities usable.
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