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Vector Databases?—?Long Term Memory for AI

Mlearning.ai

The sound of crickets filled the air as the fireflies danced among the trees." import os os.environ['OPENAI_API_KEY'] = "PASTE OPEN AI API KEY HERE" To acquire API key, log on to OpenAI platform and get your API key from your profile section. The waves gently lapped at the shore as the seagulls flew overhead."

BERT 52
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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning Blog

In the following sections, we dive deep into how Amazon Textract is integrated into generative AI workflows using LangChain to process documents for each of these specific tasks. When fine-tuned, they can produce state-of-the-art results. The code blocks provided here have been trimmed down for brevity. 533 tokens Page 2 has approx.

IDP 113
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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

Crafting a successful prompt requires a deeper understanding of the context, it’s the subtle art of asking the right questions to elicit the desired answers. We have applied zero-shot technique to generate impressions from the findings section of a radiology report. This technique makes LLMs useful for many tasks.

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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning Blog

Gemma model Gemma is a family of lightweight, state-of-the-art models built from the same research and technology used to create the Gemini models. Gemma exhibits strong generalist capabilities in text domains and state-of-the-art understanding and reasoning skills at scale.

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What Is Keras Core?

PyImageSearch

If you are already sold and need to see some cold hard proof (code examples), jump to the next section. In this tutorial, we unpacked a small section of things possible using Keras Core. JAX Workflow: We then danced with JAX workflows, integrating them into our Keras Core model.

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Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

AWS Machine Learning Blog

Deploy Llama 2 on AWS Inferentia instances using the SageMaker Studio UI and the Python SDK In this section, we demonstrate how to deploy Llama 2 on AWS Inferentia instances using the SageMaker Studio UI for a one-click deployment and the Python SDK. In this section, we go over how to discover the models in SageMaker Studio.

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Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs

AWS Machine Learning Blog

The model architecture incorporates image-wide global context and a single-step architecture that uses Fourier convolutions, enabling it to achieve state-of-the-art results at a faster speed. Outside of work, Ankith is also an electronic dance music producer. For more details on LaMa, visit their website and research paper.