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6 AI Trends that will Dominate the Tech Charts in 2023

How to Learn Machine Learning

In this blog, we will have a look at 6 AI trends that will dominate the tech charts in 2023. Based on this call analysis, early diagnosis, changes in the patient’s condition can be monitored. #5 Author Bio: Victor Ortiz is a Content Marketer with GoodFirms. All this without not knowing how much of it can go wrong!

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning Blog

Amazon Lex updates client applications when the Lambda function adds or changes session attributes. These are used to find Amazon Simple Storage Service (Amazon S3) assets needed to deploy the solution and may change as updates to this post are published. On the top right, a message reads, “English (US) has not built changes.”

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What Does It Mean to Make Data Governance Fun?

Alation

I define data governance as the “execution and enforcement of authority over the management of data.” Change is rarely easy or welcome. How can they make the change less painful? These comparisons must also reward all positive activity and not just that of the victors. Sounds fun… doesn’t it? These are serious challenges!

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PaLM-E: An embodied multimodal language model

Google Research AI blog

To successfully complete the task, PaLM-E produces a plan to find the drawer and open it and then responds to changes in the world by updating its plan as it executes the task. Co-authors: Igor Mordatch, Andy Zeng, Aakanksha Chowdhery, Klaus Greff, Mehdi S. In the second example, the robot is asked to grab a green block.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

The following is a sample code to fine-tune the Llama 2 7B on your dataset: import os import boto3 from sagemaker.session import Session from sagemaker.jumpstart.estimator import JumpStartEstimator # To fine-tune the 13B/70B model, please change model_id to `meta-textgeneration-llama-2-13b`/`meta-textgeneration-llama-2-70b`.

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Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting

Google Research AI blog

We are grateful to Huiwen Chang, Austin Tarango, and Douglas Eck for providing paper feedback. Thanks to Erica Moreira and Victor Gomes for help with resource coordination. Finally, thanks to the authors of DALL-E 2 for giving us permission to use their model outputs for research purposes.

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