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The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an…

ODSC - Open Data Science

The Top Large Language Models of 2023, 8 Python Libraries You Should be Using, and Why You Need an Observability Platform The Top Large Language Models Going Into 2024 Let’s explore the top large language models that made waves in 2023, and see why you should be using these LLMs in 2024. We now have a podcast! Register here!

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Build an ML Inference Data Pipeline using SageMaker and Apache Airflow

Mlearning.ai

Real-world batch inference use cases NLP: Batch inference can be used in applications such as text classification, sentiment analysis, language translation, and text summarization. In this blog post, we will install Apache-Airflow using the Python package. Let’s look at some of the real-world batch inference use cases.

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Computer Vision and Deep Learning for Education

PyImageSearch

In emerging markets, AI has the potential to provide affordable post-secondary education, make learning exciting and fun, and make the content personalized to individual students’ needs. This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector.

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Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart

AWS Machine Learning Blog

The power of LLMs comes from their capacity to learn and generalize from extensive and diverse training data. Text completion or imputation is one of the most common unsupervised objectives: given a chunk of text, the model learns to accurately predict what comes next (for example, predict the next sentence). Choose View model.

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Unlocking efficiency: Harnessing the power of Selective Execution in Amazon SageMaker Pipelines

AWS Machine Learning Blog

MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. medium'}, {'Name': 'MseThreshold', 'Value': '6'}, {'Name': 'ModelPath', 'Value': 's3://sagemaker-us-east-1-123123123123/Abalone/models/'}, {'Name': 'XGBMaxDepth', 'Value': '12'}, {'Name': 'TrainingInstanceType', 'Value': 'ml.c5.xlarge'},

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SAM from Meta AI (Part 1): Segmentation with Prompts

PyImageSearch

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. To learn how to use SAM in your own projects, just keep reading. Learning on your employer’s administratively locked system? without further fine-tuning).

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Evaluation Derangement Syndrome (EDS) in the GPU-poor’s GenAI. Part 1: the case for Evaluation-Driven Development

deepsense.ai

We also discuss the fundamental insufficiency of the ‘pseudo-evaluation’ approaches used by the GPU-poor and sketch a potentially more rational path forward for them: Evaluation-Driven Development (EDD). source: The Missing Link in Generative AI | Fiddler AI Blog ]. Its reach will only grow in the future, together with GenAI use cases.