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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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Heyday lands $6M to build a knowledge base from the services you already use

TechCrunch

Launched in 2021, Heyday is designed to automatically save web pages and pull in content from cloud apps, resurfacing the content alongside search engine results and curating it into a knowledge base. Investors include Spark Capital, which led a $6.5 million seed round in the company that closed today. For every piece of content (e.g.,

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UPS delivers customer wins with generative AI

CIO

“The journey with MeRA is just beginning,” says the chief digital and technology officer, noting that the tool has prompted UPS to rethink and refine its approach to AI training. The AI tool dips into the knowledge base used by customer agents to gain access to corporate procedures, as well as data to respond to myriad customer questions.

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How to Start a Knowledge Base: Simple Yet Surefire Approach

Ivanti

After the initial product training, I was pointed to a lab computer and told to start diagnosing a set of customer issues. The challenge with this method was that this vast empirical knowledge was locked in each analyst’s brain. Eventually, a knowledge base initiative was started. I felt completely lost.

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Tractor Supply enlists AI to deliver ‘legendary’ customer service

CIO

With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply. It makes the team member much more efficient.”

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The $400 billion opportunity for AI in customer service

CIO

As a ‘copilot’ for call center workers, a generative AI-trained assistant can help them quickly access information or suggest replies by linking to the customer knowledge base,” says Condell. “We We can pass auto-generated replies as an internal note to the ticket, where the agent can quickly review, rework if needed, and send.”

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ChatGPT, the rise of generative AI

CIO

GPT stands for generative pre-trained transformer. ChatGPT was trained on a much larger dataset than its predecessors, with far more parameters. ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). What is ChatGPT?