Remove 2022 Remove APIs Remove Scripts
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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

simple Finance Did meta have any mergers or acquisitions in 2022? Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. simple Music Can you tell me how many grammies were won by arlo guthrie until 60th grammy (2017)? simple_w_condition Open Can i make cookies in an air fryer?

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For text generation, Amazon Bedrock provides the RetrieveAndGenerate API to create embeddings of user queries, and retrieves relevant chunks from the vector database to generate accurate responses. Boto3 makes it straightforward to integrate a Python application, library, or script with AWS services.

Chatbots 109
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Harness large language models in fake news detection

AWS Machine Learning

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. For this post, we use the Amazon Bedrock API via the AWS SDK for Python. The script instantiates the Amazon Bedrock client using Boto3.

APIs 123
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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 115
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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. After they log in to the custom application, the user requests SageMaker domain access through the UI by triggering an Amazon API Gateway call to generate a presigned URL.

APIs 112
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Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK

AWS Machine Learning

Amazon SageMaker inference , which was made generally available in April 2022, makes it easy for you to deploy ML models into production to make predictions at scale, providing a broad selection of ML infrastructure and model deployment options to help meet all kinds of ML inference needs. To build this image locally, we need Docker.

APIs 93