AWS Machine Learning

APRIL 16, 2024

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

Management 83

Management Hotels Resources Policies 83

AWS Machine Learning

MARCH 28, 2024

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

Innovation 110

Innovation Telecommunications System Travel 110

SuiteCX

JANUARY 19, 2015

Created standards and procedures to get all organiza2ons on the same page; allowed for individual company nuances Despite limited IT resources, worked with technology partners to achieve a phased approach to success Key Learning: A step-­‐by-­‐step managed process can ease the growing pains of a significant technology change.

Customer Journeys 100

Customer Journeys CRM Leadership Customer Centricity 100

AWS Machine Learning

NOVEMBER 20, 2023

We use two AWS Media & Entertainment Blog posts as the sample external data, which we convert into embeddings with the BAAI/bge-small-en-v1.5 When a user asks a question, perform a similarity search in Pinecone and add the content from the most similar documents to the prompt’s context. Deploy the BAAI/bge-small-en-v1.5

e-support 94

e-support Entertainment Data Resources 94

AWS Machine Learning

AUGUST 15, 2023

Efficiently discovering and searching for specific content within digital assets is crucial for businesses to optimize workflows, streamline collaboration, and deliver relevant content to the right audience. In reality, most of the digital assets lack informative metadata that enables efficient content search.

Video 73

Video Chatbots Knowledge Base Effort Score 73

AWS Machine Learning

FEBRUARY 9, 2024

For example, they may need to track the usage of FMs across teams, chargeback costs and provide visibility to the relevant cost center in the LOB. Teams (tenants) assigned to separate cost centers consume Amazon Bedrock FMs via an API service. Additionally, they may need to regulate access to different models per team.

Government 127

Government Resources Examples Data 127

AWS Machine Learning

APRIL 17, 2023

You can also choose to onboard using AWS IAM Identity Center (successor to AWS Single Sign-On) for authentication (see Onboard to Amazon SageMaker Domain Using IAM Identity Center ). Amazon Comprehend uses NLP to extract insights about the content of documents. Choose Python (Pandas).

Data 83

Data Travel Customers Exercises 83