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

Cloudera

The AMP demonstrates how organizations can create a dynamic knowledge base from website data, enhancing the chatbot’s ability to deliver context-rich, accurate responses. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.

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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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Apiumhub organizes the Global Software Architecture Summit in Barcelona, October 10, 2019

Apiumhub

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks.

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Android Architecture Course in Barcelona

Apiumhub

As a short summary: This October 10th we’re organizing the first Global Software Architecture Summit , an event that will take place in Barcelona and one we’re tremendously excited about. We’ve started working with open source projects , which we gladly share with the community. Short, but intense.

Course 8
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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. Then we introduce you to a more versatile architecture that overcomes these limitations.

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Deploying an LLM ChatBot Augmented with Enterprise Data

Cloudera

Powerful LLMs can cover diverse topics, from providing lifestyle advice to informing the design of transformer architectures. Privacy concerns loom large, as many enterprises are cautious about sharing their internal knowledge base with external providers to safeguard data integrity.