The article discusses the Retrieval Augmented Generation (RAG) pattern for generative AI workloads, focusing on the analysis and detection of embedding drift. It explores how embedding vectors are used to retrieve knowledge from external sources and augment instruction prompts, and explains the process of performing drift analysis on these vectors using Principal Component Analysis (PCA).
Generative AI is revolutionizing product design by making complex tools more accessible through natural language commands, benefiting both expert and novice users. Tailoring AI models with domain-specific data improves performance, giving companies a competitive edge in delivering differentiated offerings.
Data is crucial for maximizing the value of AI and solving business problems efficiently. Amazon SageMaker Canvas revolutionizes data preparation for security analysts, allowing them to effortlessly access foundation models, extract value, and remediate cybersecurity risks.
Resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements. Generative AI solutions involve new roles, tools, and considerations such as prompt validation and data pipelines.
GeForce NOW celebrates 4 years with Diablo IV and Overwatch 2 joining the cloud gaming library, along with other new games. The battle for Sanctuary heats up in Diablo IV, while Overwatch 2 offers epic team-based action, all available on GeForce NOW.
OpenAI introduces custom personalities called "GPTs" in ChatGPT, enabling collaboration and teamwork among AI agents within the platform. Users can create their own GPTs or download from the GPT Store to add relevant context and expertise to conversations.
Amazon Titan Text Embeddings is a text embeddings model that converts natural language text into numerical representations for search, personalization, and clustering. It utilizes word embeddings algorithms and large language models to capture semantic relationships and improve downstream NLP tasks.
Automate detecting document tampering and fraud at scale using AWS AI and machine learning services for mortgage underwriting. Develop a deep learning-based computer vision model to detect and highlight forged images in mortgage underwriting using Amazon SageMaker.
AI technology has the ability to transform food images into recipes, allowing for personalized food recommendations, cultural customization, and automated cooking execution. This innovative method combines computer vision and natural language processing to generate comprehensive recipes from food images, bridging the gap between visual depictions of dishes and symbolic knowledge.
The US Justice Department reveals that the FBI covertly took control of infected routers to remove malware used by Chinese state-sponsored hackers to target critical infrastructure. The hackers used KV Botnet malware to encrypt traffic and make it appear as if it originated from trustworthy US IP addresses, allowing them to establish posts for future cyberattacks.
Improving content discovery on media platforms is crucial for user engagement. Implementing Retrieval Augmented Generation (RAG) with your own data using Knowledge Bases for Amazon Bedrock can solve semantic and user intent challenges, allowing you to create a movie chatbot that generates relevant answers based on retrieved context.
Product developer Matt Webb has launched a Kickstarter for the "Poem/1" e-paper clock, which tells time using AI-generated rhyming poetry. Powered by ChatGPT, the clock occasionally lies about the time or makes up words to create rhymes.
This article provides a hands-on tutorial using Facebook Prophet for time series analysis, aimed at removing entry barriers. Prophet is an open-source tool by Facebook that produces accurate time series forecasts with ease, making it ideal for business applications.
A data science associate used NLP techniques to analyze Reddit discussions on depression, exploring gender-related taboos around mental health. They found that zero-shot classification can easily produce similar results to traditional sentiment analysis, simplifying the process and eliminating the need for a training dataset.
Generative AI models like Claude 2 and Llama 2 can perform tasks on text data, but what about multimodal data? This article presents a solution using Amazon Titan Multimodal Embeddings model and LLaVA 1.5 to perform generative tasks on text and visual elements, including tables and graphs, in slide decks.