Implementing AdaBoost regression from scratch in Python, then refactoring to C#, using k-nearest neighbors instead of decision trees. AdaBoost. R2 algorithm is a modification of AdaBoost, with few working Python implementations found online.
NVIDIA's latest paper introduces LLaMA-Mesh, allowing 3D mesh generation using natural language, without adding new tokens. The paper explains how LLMs like GPT4o convert text to obj files, with vertex quantization for precision.
Generative AI-powered laptops and PCs are driving advancements in gaming and content creation, with over 600 Windows apps and games running AI on 100 million GeForce RTX AI PCs worldwide. NVIDIA and Microsoft announced tools at Microsoft Ignite to help developers optimize AI-powered apps on RTX AI PCs, enabling faster and more immersive digital human interactions.
Customizing language models for specialized industries is crucial due to challenges faced by large language models. Small language models are gaining popularity for their efficiency and cost-effectiveness in specific domains, offering faster inference times and lower resource requirements. AWS provides solutions like Amazon Bedrock and Amazon SageMaker for interacting with these models, making ...
MIT CSAIL researchers developed LucidSim, using generative AI and physics simulators to train robots in diverse virtual environments, bridging the sim-to-real gap in robot learning. The idea sparked outside a Cambridge taqueria, leading to a breakthrough in creating expert-level robot performance without real-world data.
HarperCollins to use nonfiction backlist titles to train AI models with authors' consent. Agreement aims to enhance AI model quality and performance.
InsuranceDekho simplifies insurance purchases with AI technology, improving customer service and sales. The use of Amazon Bedrock and Anthropic’s Claude enhances InsuranceDekho's Health Pro Genie, providing efficient insurance plan recommendations.
Large AI models are costly to use and train, leading to a focus on quantization to reduce model size while maintaining accuracy. Two key approaches discussed are post-training quantization (PTQ) and Quantization Aware Training (QAT), each with its own techniques for minimizing accuracy loss.
Non-expert poetry readers prefer AI poems for being straightforward and accessible. Study shows AI poems are often mistaken for human-written ones by participants.
Summary: A developer shares insights from deploying an NLP model for document processing in Czech, focusing on entity identification. The model was trained on 710 PDF documents using manual labeling and avoided bounding box-based approaches for efficiency.
AI clones David Attenborough's voice for fake news. Celebrities like Scarlett Johansson also face voice cloning issues.
Researchers and developers are using AI and NVIDIA ALCHEMI NIM microservice to accelerate the discovery of novel materials for energy storage and environmental challenges, reducing costs and time significantly. SES AI is leveraging this technology to speed up the identification of electrolyte materials for lithium-metal batteries, showing promising results for accelerating innovation in materia...
Generative AI transforms healthcare data analysis at MSD, enabling fast, accurate SQL query generation from natural language. Collaboration with AWS GenAIIC streamlines data extraction, empowering users to make data-driven decisions efficiently.
Amazon introduces Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock and OpenSearch Serverless, reducing memory usage and costs. Amazon Bedrock offers high-performing foundation models and capabilities for generative AI applications, while OpenSearch Serverless supports binary vectors for modern ML search experiences.
Steven Johnson, known for researching software, collaborated with Google Labs to create NotebookLM, an AI-powered note-taking tool. NotebookLM helps organize, summarize, and answer questions about information, aiming to enhance understanding and streamline the creative process.