Favorite This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. Vitech is a global provider of cloud-centered benefit and investment administration software. Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. To serve their
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Shared by AWS Machine Learning May 31, 2024
Favorite Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and
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Shared by AWS Machine Learning May 31, 2024
Favorite This is a guest post co-written with CBRE. CBRE is the world’s largest commercial real estate services and investment firm, with 130,000 professionals serving clients in more than 100 countries. Services range from financing and investment to property management. CBRE is unlocking the potential of artificial intelligence (AI) to
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Shared by AWS Machine Learning May 31, 2024
Favorite The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. This means that individuals can ask companies to erase their personal data from their
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Shared by AWS Machine Learning May 31, 2024
Favorite Large multimodal models (LMMs) integrate multiple data types into a single model. By combining text data with images and other modalities during training, multimodal models such as Claude3, GPT-4V, and Gemini Pro Vision gain more comprehensive understanding and improved ability to process diverse data types. The multimodal approach allows
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Shared by AWS Machine Learning May 30, 2024
Favorite Llama is Meta AI’s large language model (LLM), with variants ranging from 7 billion to 70 billion parameters. Llama uses a transformers-based decoder-only model architecture, which specializes at language token generation. To train a model from scratch, a dataset containing trillions of tokens is required. The Llama family is
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Shared by AWS Machine Learning May 30, 2024
Favorite A variety of different techniques have been used for returning images relevant to search queries. Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while. Contrastive Language–Image Pre-training
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Shared by AWS Machine Learning May 30, 2024
Favorite As part of the Open Source AI Definition roadshow and as we approach the first release candidate of the draft, the Open Source Initiative (OSI) participated at PyCon US 2024, the annual gathering of the Python community. This opportunity was important because PyCon US brings together AI practitioners and
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Shared by voicesofopensource May 29, 2024
Favorite Open Source AI needs to require data to be viable @juliaferraioli and the AWS team have reopened the debate regarding access to training data. This comes in a new forum which mirrors concerns raised in a previous one. They argue that to achieve modifiability, an AI system must ship
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Shared by voicesofopensource May 28, 2024
Favorite Mixture of Experts (MoE) architectures for large language models (LLMs) have recently gained popularity due to their ability to increase model capacity and computational efficiency compared to fully dense models. By utilizing sparse expert subnetworks that process different subsets of tokens, MoE models can effectively increase the number of
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Shared by AWS Machine Learning May 24, 2024
Shared by AWS Machine Learning May 31, 2024
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