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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning Blog

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Through AWS Step Functions orchestration, the function calls Amazon Comprehend to detect the sentiment and toxicity.

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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

Deep learning, natural language processing, and computer vision are examples […]. The post Top 10 AI and Data Science Trends in 2022 appeared first on Analytics Vidhya. Times change, technology improves and our lives get better.

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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning Blog

In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning Blog

In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. LLMs are designed to understand and generate human-like language, and are used in many industries, including government, healthcare, financial, and intellectual property.

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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 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

Artificial intelligence (AI) is rapidly transforming our world, and AI conferences are a great way to stay up to date on the latest trends and developments in this exciting field. The 2023 edition of Big Data & AI Toronto will be held on October 18-19, 2023 at the Metro Toronto Convention Centre.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning Blog

Multi-modal agents are AI systems that can understand and analyze data in multiple modalities using the right tools in their toolkit. Multi-modal agents, in conjunction with generative AI, are finding a wide spread application in financial markets. Detecting fraudulent collusion across data types requires multi-modal analysis.

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