NVIDIA Studio accelerates content creation with new RTX GPU features and optimizations in creative apps like CyberLink PowerDirector and Adobe Substance 3D Modeler. Artists can now create physically accurate 3D replicas and improve video quality and encoding efficiency with NVIDIA technology.
Non-negative matrix factorization (NMF) finds W and H matrices to approximate a source matrix V. Results show NMF is scenario-specific, not a general technique.
High school student Selin Alara Ornek uses NVIDIA Jetson for edge AI to create robot guide dogs for visually impaired, aiming to prevent bullying and aid health monitoring with real-time notification capabilities. Ornek, a self-taught robotics developer from Istanbul, is recognized globally for her innovative projects and plans to deploy IC4U in smart cities using next-gen platforms like Jetson...
Linguist Emily Bender and computer scientist Timnit Gebru critique language models as 'stochastic parrots' lacking true understanding. Auto-regressive models like GPT-4 struggle with basic generalization, displaying a 'Reversal Curse' in answering simple questions.
Winnow binary classification is designed for binary predictor variables and labels. An example using a modified UCI Email Spam Dataset demonstrates the unique Winnow algorithm in action.
Synthetic data raises concerns of model collapse in AI development, but study may not reflect real-world practices and advancements. Omission of standard mitigation techniques and quality control in study limits applicability to industry scenarios.
RAG combines retrieval and foundation models for powerful question answering systems. Automate RAG deployment with Amazon Bedrock and AWS CloudFormation for seamless setup.
Information retrieval systems are evolving with AI solutions like Amazon Transcribe and Amazon Bedrock to efficiently search through audio files at scale. These services simplify the process of transcribing audio, cataloging content, and creating embeddings for easy querying.
Large language models (LLMs) are growing in size for better results, but with increased computational demands. Speculative sampling improves efficiency by verifying multiple tokens in parallel, enhancing hardware resource utilization.
Fake AI vocals, including Donald Trump's, disrupt the Montego Bay clash scene, sparking debates on the future of the culture. The use of AI vocalists challenges authenticity and originality in the historic Sumfest Global Sound Clash tradition.
AI networks interconnect GPUs for large-scale distributed training at Meta, using RDMA over Ethernet for high-performance communication. Specialized RoCEv2 networks support various AI workloads, including GenAI, ranking, and natural language processing, with a dedicated backend network for training clusters.
LLM prompts show brittleness in AI responses. Experiment with OpenAI's GPT-4o reveals 55% accuracy with original prompt.
Elon Musk sues OpenAI CEO Sam Altman, alleging manipulation into co-founding the company. Legal battle reignited with new lawsuit in northern California court.
AI can create images and sounds simultaneously, like corgis barking. Researchers at the University of Michigan explore this groundbreaking concept.
Summary: Learn how to build a 124M GPT2 model with Jax for efficient training speed, compare it with Pytorch, and explore the key features of Jax like JIT Compilation and Autograd. Reproduce NanoGPT with Jax and compare multiGPU training token/sec between Pytorch and Jax.