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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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CVE-2021-39144: VMware Patches Critical Cloud Foundation Vulnerability in XStream Open Source Library

Tenable

VMware issues patches for end-of-life versions of Cloud Foundation Network Security Virtualization for vSphere (NSX-V) to address a critical vulnerability in an open source library. CVE-2021-39144 is a remote code execution vulnerability in XStream, an open source library used for object serialization. Background.

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Deepset raises $14M to help companies build NLP apps

TechCrunch

Against this backdrop, Deepset , the startup behind the open source NLP framework Haystack, today announced that it raised $14 million in a Series A investment led by GV with participation from Harpoon Ventures, System.One, Lunar Ventures, and Acequia Capital. Fortune Business Insights pegged the NLP market at $16.53 billion in 2020.

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Your Generative AI strategy could use a startup’s touch

CIO

Marketing departments may find ways to make information housed in knowledge-based articles and other content more easily discoverable. You might choose to bring the AI to your data by running an off-the-shelf or open-source solution in your corporate datacenter, ideally reducing complexity and risk.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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How We Integrated ChatGPT into Our Slack: Enhancing Privacy, Flexibility, and Collaboration

Xebia

Moreover, as we gain access to a wider variety of models from vendors such as Google and AWS, as well as open-source models from Databricks and HuggingFace, we can seamlessly integrate them to SlackGPT. One usecase we see is connecting SlackGPT to our internal knowledge base.

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