Remove docs payments
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Create a multimodal assistant with advanced RAG and Amazon Bedrock

AWS Machine Learning Blog

t2i_results = docsearch.similarity_search_with_score(query, k=3) # our search query # return 3 most relevant docs # Or Query AOSS with image aka image-to-image with open(obj_image_path, "rb") as image_file: image_data = image_file.read() image_base64 = base64.b64encode(image_data).decode('utf8') b64encode(image_data).decode('utf8')

ML 94
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Get details on what tests, medications, lifestyle changes, or procedures you will go through, how much time it will take, and how long the study will last', 'Are there any costs or payments? Are there any costs or payments? Yes, there are costs and payments discussed in the search results. txt) Markdown (.md)

AWS 107
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“Machine Washing” is a symptom of AI snobbery

DataRobot Blog

Because the Uber app handles the payment transaction seamlessly. I prefer google docs to Microsoft office. Because sharing and versioning is 100X better with google docs. It seems that there are always yellow cabs around me, but I just stand there and wait for my Uber. Why do I do this? Because the user experience is better.

AI 52
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10 Best AI Text Generators & AI Writing Tools (Free & Paid)

Dataconomy

The Prepaid edition costs $1 for 1,000 words and works as a one-time payment. It can generate entire articles from scratch or just the outline (headings and intro), allowing you to fine-tune the rest yourself. Pricing: ContentBot AI has four plans. The Starter plan is priced at $19 per month and lets you create up to 50,000 words.

AI 202
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Getting Started with ocean.py, Part 3: Set up Remotely

Ocean Protocol

Get (fake) OCEAN on Mumbai OCEAN can be used as a data payment token, and locked into veOCEAN for Data Farming / curation. See details in brownie docs. Request funds for ADDRESS1 Request funds for ADDRESS2 You can confirm receiving funds by going to the following url, and seeing your reported MATIC balance: [link] or ADDRESS2> 4.

Python 59
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Making data accessible with OCR

Dataconomy

Optical character recognition use cases Optical character recognition (OCR) technology offers a range of potential use cases, including the ability to scan printed documents and convert them into editable formats using word processors, such as Microsoft Word or Google Docs.

Database 142
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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning Blog

. # Establish Cohere client co = cohere_aws.Client(mode=cohere_aws.Mode.BEDROCK) model_id = "cohere.embed-multilingual-v3" # Embed documents docs = top_80_df['text'].to_list() to_list() #for reference when returning non-English results doc_embs = co.embed(texts=docs, model_id=model_id, input_type='search_document').embeddings