Co-authored by Ahmar Mohammad, Vice President, Partners, Managed Services, and Solutions GTM, VCF Division, Broadcom Microsoft and Broadcom have partnered closely for many years to support our mutual customers, and we continue to build and innovate together as customer needs change. Today, we are pleased to share that Microsoft and Broadcom are expanding our partnership …
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 realize value across the entire commercial …
CBRE and AWS perform natural language queries of structured data using Amazon Bedrock Read More »
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 Policy Evaluation solution, which uses AWS …
Dynamic video content moderation and policy evaluation using AWS generative AI services Read More »
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 customers, Vitech maintains a repository of …
Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot Read More »
At Microsoft Azure, we are unwavering in our commitment to providing robust and reliable networking solutions for our customers. In today’s dynamic digital landscape, seamless connectivity, uncompromising security, and optimal performance are non-negotiable. As cyber threats have grown more frequent and severe, the demand for security in the cloud has increased drastically. As a response …
Enhance your security capabilities with Azure Bastion Premium Read More »
Ever since I started at Microsoft in August 2023, I was more than excited for Microsoft Build 2024, which wrapped up last week. Why? The achievements of our customers leveraging Azure AI to drive innovation across all industries are astounding, and I’ll happily take every opportunity to showcase and celebrate them. From enhancing productivity and …
Celebrating customers’ journeys to AI innovation at Microsoft Build 2024 Read More »
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 (CLIP) and Bootstrapping Language-Image Pre-training (BLIP) …
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 one of the most popular LLMs. …
End-to-end LLM training on instance clusters with over 100 nodes using AWS Trainium Read More »
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 models to handle a wider range …
Fine-tune large multimodal models using Amazon SageMaker Read More »
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 parameters while requiring less computation per …
Accelerate Mixtral 8x7B pre-training with expert parallelism on Amazon SageMaker Read More »
