Search Results for "ai models"
Arcee AI Transitions from AWS to Together AI for Enhanced Flexibility and Performance
Arcee AI migrates from AWS to Together Dedicated Endpoints, optimizing costs and performance for their specialized small language models, enhancing operational agility and efficiency.
NVIDIA Unveils NV-Tesseract Models to Revolutionize Time-Series Data Processing
NVIDIA introduces NV-Tesseract, a model family transforming time-series data analysis, enhancing anomaly detection, forecasting, and classification across industries including finance and healthcare.
NVIDIA NeMo Enhances Hugging Face Model Integration with AutoModel Feature
NVIDIA's NeMo Framework introduces AutoModel for seamless integration and enhanced performance of Hugging Face models, enabling rapid experimentation and optimized training.
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 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.
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.
Enhancing RAG Pipelines with NVIDIA's Advanced Nemotron Models
Explore how NVIDIA's Llama Nemotron models can improve retrieval-augmented generation (RAG) systems by enhancing query rewriting and reasoning capabilities.