AWS Machine Learning Blog

OCTOBER 5, 2023

For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering.

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AWS Machine Learning Blog

JANUARY 30, 2023

They’re available through the SageMaker Python SDK. From image and speech recognition to natural language processing and predictive analytics, ML models have been applied to a wide range of problems. It’s designed to work with the existing Python and data science ecosystem such as NumPy and Pandas. 2 3175 3294 0.94

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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DagsHub

DECEMBER 23, 2024

We will divide this section into two  categories: Python library and web based tools. Python Libraries DagsHub : DAGsHub provides a robust active learning solution for modern machine learning workflows, particularly for collaborative labeling efforts. Libact : It is a Python package for active learning.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Now you can also fine-tune 7 billion, 13 billion, and 70 billion parameters Llama 2 text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. Fine-tune Llama2 models You can fine-tune the models using either the SageMaker Studio UI or SageMaker Python SDK.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

We then also cover how to fine-tune the model using SageMaker Python SDK. FMs through SageMaker JumpStart in the SageMaker Studio UI and the SageMaker Python SDK. Fine-tune using the SageMaker Python SDK You can also fine-tune Meta Llama 3.2 models using the SageMaker Python SDK. You can access the Meta Llama 3.2

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