Build a custom UI for Amazon Q Business
Amazon Q is a new generative artificial intelligence (AI)-powered assistant designed for work that can be tailored to your business. Amazon Q can help you get fast, relevant answers to…
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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock
This post shows you how to predict domain-specific product attributes from product images by fine-tuning a VLM on a fashion dataset using Amazon SageMaker, and then using Amazon Bedrock to…
Create a multimodal assistant with advanced RAG and Amazon Bedrock
In this post, we present a new approach named multimodal RAG (mmRAG) to tackle those existing limitations in greater detail. The solution intends to address these limitations for practical generative…
Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face
This post presents a solution to automatically generate a meeting summary from a recorded virtual meeting (for example, using Amazon Chime) with several participants. The recording is transcribed to text…
Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker
Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use…
Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint
Speaker diarization, an essential process in audio analysis, segments an audio file based on speaker identity. This post delves into integrating Hugging Face’s PyAnnote for speaker diarization with Amazon SageMaker…
Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone,…
Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation
Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision…
Build a news recommender application with Amazon Personalize
With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers, and more—often find it difficult to…
Gradient makes LLM benchmarking cost-effective and effortless with AWS Inferentia
This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before…