Remove docs identity
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Using Langchain vector store using Azure Cognitive Search

Mlearning.ai

", k=3, search_type="similarity", ) print(docs[0].page_content) page_content) # Perform a hybrid search docs = vector_store.similarity_search( query="what is requirement for responsible ai? ", ", k=3, search_type="similarity", ) print(docs[0].page_content) ", k=3 ) print(docs[0].page_content)

Azure 52
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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning Blog

Solution overview We use the SageMaker docs as the knowledge corpus for this post. AWS Identity and Access Management roles and policies for access management. This notebook will ingest the SageMaker docs to an OpenSearch Service index called llm_apps_workshop_embeddings.

AWS 75
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning Blog

It provides tools that offer data connectors to ingest your existing data with various sources and formats (PDFs, docs, APIs, SQL, and more). Prerequisites For this example, you need an AWS account with a SageMaker domain and appropriate AWS Identity and Access Management (IAM) permissions.

AWS 94
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning Blog

Specify your AWS Identity and Access Management (IAM) role, VPC, and subnet. In your AWS Cloud9 environment, create a new folder called DeepRacer.

AWS 72
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IBM Cloud solution tutorials: 2023 in review

IBM Journey to AI blog

The other discussed automatic processing of detected inactive identities. Use the buttons on individual tutorials to provide suggestions by opening a doc issue. Security-wise, there was much more. I wrote two blog posts about account cleanup. The first was on how to clean up unused access policies.

AI 68
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Grammarly introduces generative AI tool GrammarlyGO

Dataconomy

That means you can use the new Grammarly AI writing tool whenever and wherever you need it, whether you’re typing an email or opening a Google doc.

AI 91
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Automate PDF pre-labeling for Amazon Comprehend

AWS Machine Learning Blog

Fuzzy matching looks for strings in the document that are similar (but not necessarily identical) to the expected entities listed in the pre-manifest file. The tool uses the fuzzy matching algorithm to generate pre-annotations by comparing text similarity. The following diagram illustrates the state machine workflow.

AWS 87