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Stubbing AWS Service calls in Golang

Xebia

I used the following code to do this: package main import ( "context" "github.com/aws/aws-sdk-go-v2/config" "github.com/aws/aws-sdk-go-v2/service/s3" "time" "log" "os" ) type Request struct {} type Response struct {} type Lambda struct { s3Client *s3.Client PutObjectInput) (*s3.PutObjectOutput,

AWS 130
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Google Drive App in Chat becomes more Interactive

Xebia

With the recently added update, Google Drive in Chat gets a more interactive character.

Cloud 130
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Checking out LiveViewJS

Xebia

We read a little of the docs, which are pretty much what you’d expect. This means there’s a lot of enforced parity between both frameworks. . Show me an example. However, the repo that we checked out serves as the workspace where the different npm packages are built, which is conflicting with developer run scripts. It was missing!

Examples 130
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Legal NLP releases new Contract NLI demo and more

John Snow Labs

given the context below, is classified as Entailment. given the context below, is classified as Entailment. from johnsnowlabs import nlp, legal # Start Spark Session spark = nlp.start() For alternative installation methods of how to install in specific environments, please check the docs.

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Extending Layout Service in Sitecore Headless

Perficient

The Layout Service constructs and delivers a JSON representation encompassing the context, route, placeholders, renderings (components), and data sources. Refer to this official doc for more details on Sitecore headless. This JSON payload fuels the rendering engine, enabling the rendering of the final user interface.

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Finance NLP Releases Semantic search Example Notebook

John Snow Labs

Financial Semantic Search The new notebook shows how to add Earning Calls transcripts into a vector store using sentence embeddings on the documents’ paragraphs, allowing for finding specific information and avoiding truncation of the long documents that occur because of the context length limit of the models.

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

AWS Machine Learning - AI

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. It provides tools that offer data connectors to ingest your existing data with various sources and formats (PDFs, docs, APIs, SQL, and more). Query the knowledge base.