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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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Top recommended AI companies in Vietnam to collaborate in 2024

Dataconomy

The company is renowned for its deep understanding of machine learning and natural language processing technologies, providing practical AI solutions tailored to businesses’ unique needs. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

AI 113
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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Master of Code Global (MOCG) is a certified partner of Microsoft and AWS and has been recognized by LivePerson, Inc. Data Monsters Year Founded : 2009 HQ : California, USA Team Size : 51–200 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

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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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning Blog

From image and speech recognition to natural language processing and predictive analytics, ML models have been applied to a wide range of problems. For the NYC taxi data, we use the yellow trip taxi records from 2009–2022. We follow the example notebook to conduct feature processing. The processed data takes 8.5

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

AWS Machine Learning Blog

The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security. nnn### Explanation:nWe answer the question with the input's date of birth and the date of death.nnn### Solution: 1102n Response from the fine-tuned model: Félix Luna died on November 5th, 2009.nn

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

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.

ML 52