Search Results for "model"
FLUX.1 Kontext: Revolutionizing Image Editing with Multi-Modal Models
Black Forest Labs introduces FLUX.1 Kontext models, offering innovative image editing through text and image prompts, available now on Together AI.
NVIDIA Unveils Nemotron-H Reasoning Models for Enhanced Throughput
NVIDIA introduces the Nemotron-H Reasoning model family, delivering significant throughput gains and versatile applications in reasoning-intensive tasks, according to NVIDIA's blog.
NVIDIA's GB200 NVL72 and Dynamo Enhance MoE Model Performance
NVIDIA's latest innovations, GB200 NVL72 and Dynamo, significantly enhance inference performance for Mixture of Experts (MoE) models, boosting efficiency in AI deployments.
NVIDIA Advances Speech AI with Cutting-Edge Parakeet and Canary Models
NVIDIA's latest speech AI models, Parakeet and Canary, achieve top rankings on the Hugging Face ASR leaderboard, offering unmatched accuracy and speed for real-time applications.
NVIDIA Introduces EoRA for Enhancing LLM Compression Without Fine-Tuning
NVIDIA unveils EoRA, a fine-tuning-free solution for improving compressed large language models' (LLMs) accuracy, surpassing traditional methods like SVD.
NVIDIA Unveils Advanced AI Models to Boost Autonomous Vehicle Development
NVIDIA introduces Cosmos Predict-2 and new developer tools, enhancing synthetic data generation and AV training for industry leaders like Oxa, Plus, and Uber.
NVIDIA's GR00T-Dreams Blueprint Revolutionizes Robot Learning with Synthetic Data
NVIDIA introduces the GR00T-Dreams blueprint, leveraging synthetic trajectory data to advance humanoid robot learning, enabling adaptation to new environments with minimal human input.
GitHub Copilot Plans to Deprecate Key AI Models by Summer 2025
GitHub Copilot announces the deprecation of several AI models, including OpenAI GPT-4.5 and GPT-4o. Users are advised to transition to suggested alternatives by the specified dates.
Enhancing Custom Information Retrieval with Fine-Tuned Embedding Models
Discover how Coxwave is boosting embedding model accuracy for specific domains using NVIDIA NeMo Curator, achieving significant improvements in information retrieval efficiency and accuracy.
Effective FP8 Training: Exploring Per-Tensor and Per-Block Scaling Strategies
Explore NVIDIA's FP8 training strategies, focusing on per-tensor and per-block scaling methods, for enhanced numerical stability and accuracy in low-precision AI model training.
NVIDIA Supports Google DeepMind's Gemma 3n on Jetson and RTX
NVIDIA announces support for Google DeepMind's Gemma 3n on Jetson and RTX platforms, enhancing AI capabilities across devices with optimized models.
NVIDIA's Llama 3.2 NeMo Retriever Enhances Multimodal RAG Pipelines
NVIDIA introduces the Llama 3.2 NeMo Retriever Multimodal Embedding Model, boosting efficiency and accuracy in retrieval-augmented generation pipelines by integrating visual and textual data processing.