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.
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.
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.
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.
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.
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.
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.
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.
The article explores the math behind the Adam optimizer, explaining why it is the most popular optimizer in deep learning. It delves into the mechanics of Adam, highlighting its adaptive learning rates and its ability to adjust its step size based on the complexity of the data.
NVIDIA Studio features artist Brandon Tieh's whimsical scene Magic Valley, inspired by video games and anime, in their latest Studio Standouts video. The new GeForce RTX 4080 SUPER, equipped with more cores and faster GDDR6X video memory, accelerates content creation by up to 70% in 3D apps and 30% in AI effects.
The article in Microsoft Visual Studio Magazine discusses the implementation of matrix inverse using the Householder version of the QR algorithm in C#. The demo includes a small matrix example and verifies the result by computing the inverse multiplied by the original matrix.
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.
Unlocking Performance: Benchmarking and Optimizing Endpoint Deployment in Amazon SageMaker JumpStart
This article explores the complex relationship between latency and throughput when deploying large language models (LLMs) using Amazon SageMaker JumpStart. Benchmarking of LLMs like Llama 2, Falcon, and Mistral variants reveals the impact of model architecture, serving configurations, instance type hardware, and concurrent requests on performance.
Learn how to create and style inset axes in matplotlib with this tutorial, which covers 4 methods for creating insets and 2 ways to style zoom insets using leader lines or color-coded overlays. The tutorial also introduces the outset library for multi-scale data visualization.