[[{“value”:”Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. To support the broader research community and help accelerate progress in this field, we share much… Read More »Apple Machine Learning Research at ICLR 2025 Apple Machine Learning Research
This post is divided into three parts; they are: • Building a Semantic Search Engine • Document Clustering • Document Classification If you want to find a specific document within a collection, you might use a simple keyword search. This post is divided into three parts;… Read More »Further Applications with Context Vectors Muhammad Asad Iqbal Khan MachineLearningMastery.com
[[{“value”:” AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to… Read More »Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model Salman Ahmed AWS Machine Learning Blog
Using llama. Using llama. Read More
[[{“value”:” Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI model’s capabilities with information from external data sources, rather than relying solely on the model’s built-in knowledge. In this post, we showcase the custom data connector capability in Amazon Bedrock Knowledge Bases… Read More »Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors Prabhakar Chandrasekaran AWS Machine Learning Blog
Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image understanding tasks. However, popular visual encoders such as ViTs become inefficient at high resolutions due to the large number of tokens and high encoding latency.… Read More »FastVLM: Efficient Vision encoding for Vision Language Models Apple Machine Learning Research
Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers the ability to turn thinking on or off. Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers the ability to turn thinking on or off. Read More
[[{“value”:” For many organizations, vast amounts of enterprise knowledge are scattered across diverse data sources and applications. Organizations across industries seek to use this cross-application enterprise data from within their preferred systems while adhering to their established security and governance standards. This post demonstrates how… Read More »Add Zoom as a data accessor to your Amazon Q index David Girling AWS Machine Learning Blog
[[{“value”:” This post is co-written with Ameet Deshpande and Vatsal Saglani from Qyrus. As businesses embrace accelerated development cycles to stay competitive, maintaining rigorous quality standards can pose a significant challenge. Traditional testing methods, which occur late in the development cycle, often result in delays,… Read More »The future of quality assurance: Shift-left testing with QyrusAI and Amazon Bedrock Ameet Deshpande, Vatsal Saglani AWS Machine Learning Blog
[[{“value”:” Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing by delivering personalized experiences to viewers. However, implementing this approach for streaming video-on-demand (VOD) content poses significant challenges, particularly in ad placement and relevance. Traditional methods rely heavily on… Read More »Automate video insights for contextual advertising using Amazon Bedrock Data Automation Alex Burkleaux AWS Machine Learning Blog