Artificial Inteligence Blog Generative AI Knowledge Base 
CIO
MAY 3, 2024
United Parcel Service last year turned to generative AI to help streamline its customer service operations. The LLM gives agents the ability to confirm all responses suggested by the model. Built to extend For UPS, contact center use of generative AI is just a springboard.
Cloudera
NOVEMBER 1, 2023
And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.
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CIO
OCTOBER 24, 2023
It’s been almost one year since a new breed of artificial intelligence took the world by storm. The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work.
AWS Machine Learning - AI
MAY 30, 2024
In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker.
Ivanti
JUNE 27, 2023
In the blog “ How Generative AI Can Benefit Knowledge Management ”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. Now, it’s time to look at how we can make it work well together.
Cloudera
OCTOBER 18, 2023
Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. Quickest wins!
AWS Machine Learning - AI
MAY 14, 2024
Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.
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