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AssemblyAI Go SDK v1.3.0: Utterance Detection and Word Search

AssemblyAI

If you want to keep up with more content like this, subscribe to our newsletter and join our Discord server. The Go SDK now supports word search , which lets you query whether a transcript contains a list of words. Along with each match, you'll also get information about when it was mentioned and how often.

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Extracting email addresses from pdf documents with Azure Form Recognizer

Mlearning.ai

w+)', text_str) if resp != Upload the documents to the Blob storage container, 4. keys = storage_client.storage_accounts.list_keys(RESOURCE_GROUP_NAME, STORAGE_ACCOUNT_NAME) print(f"Primary key for storage account: {keys.keys[0].value}")

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Detect scam calls using Go with LeMUR and Twilio

AssemblyAI

Add("Content-Type", "application/xml") fmt.Fprintln(w, fmt.Sprintf(twiML, "wss://"+r.Host+"/media")) } type TwilioMessage struct { Event string `json:"event"` Media struct { // Contains audio samples. . </answer_format>` The function uses LeMUR to create a custom summary using an LLM.

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Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

AWS Machine Learning Blog

We also discuss how you can benefit from these additional attributes through a content generation use case. We use a content generation example to understand their application. We want to generate content and output some indicative score of the confidence that the model has in the generated content. sm_client = boto3.client("sagemaker-runtime")

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LlamaSherpa: Revolutionizing Document Chunking for LLMs

Heartbeat

type(doc) # llmsherpa.readers.layout_reader.Document Retrieving Chunks from the PDF The chunks method provides coherent pieces or segments of content from the parsed PDF. for table in doc.tables(): print(table.to_text()) Accessing Sections of the PDF The sections method allows you to segment the content of the parsed PDF.

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

AWS Machine Learning Blog

nanswer: "{answer}"") resp = {'question': req.q, 'answer': answer} if req.verbose is True: resp['docs'] = docs return resp Clean up To avoid incurring future charges, delete the resources. You can do this by deleting the CloudFormation stack as shown in the following screenshot.

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Query an LLM, like SQL, for dataset creation in one prompt query!

Mlearning.ai

Run the following commands to add or list contents of the .env dotenv set OPENAI_API_KEY XXX # Save a key on a line dotenv list # view contents of.env dotenv run -- python foo.py # to include.env credentials while running a.py env file and view the contents of the .env Run the following commands to add or list contents of the .env

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