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Favorite Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. Tasks such as routing support
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Shared by AWS Machine Learning May 8, 2024
Favorite This post is co-written with Tim Camara, Senior Product Manager at Veritone. Veritone is an artificial intelligence (AI) company based in Irvine, California. Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. It offers solutions for media
Read More Shared by AWS Machine Learning May 8, 2024
Favorite The prevalence of virtual business meetings in the corporate world, largely accelerated by the COVID-19 pandemic, is here to stay. Based on a survey conducted by American Express in 2023, 41% of business meetings are expected to take place in hybrid or virtual format by 2024. Attending multiple meetings
Read More Shared by AWS Machine Learning May 8, 2024
Favorite There is tension between copyright laws and large datasets suitable to train large language models. Common Corpus is a dataset that only uses text from copyright-expired sources to bypass the legal issues. It’s a useful achievement, paving the path to research without immediate risk of lawsuits. I also fear
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Shared by voicesofopensource May 7, 2024
Favorite Definition validation: Seeking volunteers The process has entered a new phase: We are now seeking volunteers to validate the Open Source AI Definition, using it to review existing AI systems. The objective of the phase is to confirm that the Definition works as intended and understand where it fails.
Read More Shared by voicesofopensource May 6, 2024
Favorite Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant
Read More Shared by AWS Machine Learning May 3, 2024
Favorite Personalized customer experiences are essential for engaging today’s users. However, delivering truly personalized experiences that adapt to changes in user behavior can be both challenging and time-consuming. Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by
Read More Shared by AWS Machine Learning May 3, 2024
Favorite As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. With great power comes responsibility, and organizations want to make sure that these
Read More Shared by AWS Machine Learning May 3, 2024
Favorite Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker JumpStart. The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models. Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances,
Read More Shared by AWS Machine Learning May 3, 2024
Favorite The European Commission recently published a public draft of the standards request associated with the Cyber Resilience Act (CRA). Anyone who wants to comment on it has until May 16, after which comments will be considered and a final request to the European Standards Organizations (ESOs) will be issued.
Read More Shared by voicesofopensource May 2, 2024