Search Results for "learning"
NVIDIA Unveils DoRA: A Superior Fine-Tuning Method for AI Models
NVIDIA introduces DoRA, a robust alternative to LoRA, enhancing AI model fine-tuning without additional inference costs.
NVIDIA FLARE Enhances Federated XGBoost for Efficient Machine Learning
NVIDIA has integrated Federated XGBoost with FLARE, boosting machine learning productivity by enabling concurrent experiments, fault tolerance, and enhanced tracking.
NVIDIA Unveils AutoMate for Advancing Robotic Assembly Skills
NVIDIA introduces AutoMate, a framework that enhances robotic assembly skills across diverse geometries, demonstrating zero-shot sim-to-real transfer capabilities.
Llama-3 Fine-Tuning Achieves 90% of GPT-4's Performance at Lower Cost
Llama-3 fine-tuning demonstrates significant performance gains, achieving 90% of GPT-4's accuracy at a fraction of the cost, according to together.ai.
PyTorch Revolutionizes AI Accessibility for Developers
PyTorch, the deep-learning framework, is significantly enhancing AI accessibility for developers, backed by AMD's robust hardware support.
NVIDIA Unveils fVDB Framework for Enhanced Digital World Models
NVIDIA introduces fVDB, a deep-learning framework for creating AI-ready virtual representations, enhancing applications in autonomous vehicles, climate science, and smart cities.
NVIDIA Introduces Deep-Learning Framework fVDB for Enhanced Spatial Intelligence
NVIDIA's new fVDB framework leverages deep learning for large-scale 3D data, enhancing spatial intelligence in physical AI applications.
Enhancing AI Search Precision: NVIDIA Boosts RAG Pipelines with Re-Ranking
NVIDIA introduces re-ranking to improve the precision and relevance of AI-driven enterprise search results, enhancing RAG pipelines and semantic search.
GitHub Models: Revolutionizing AI Engineering for Over 100 Million Users
GitHub introduces GitHub Models, enabling developers to leverage industry-leading AI models directly on the platform.
LangSmith Enhances LLM Apps with Dynamic Few-Shot Examples
LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input.
Ray Training Day 2024: Enhance Your AI and ML Skills in San Francisco
Join Ray Training Day on September 30, 2024, in San Francisco for a comprehensive training session on GenAI and LLMs led by Ray experts.
NVIDIA Enhances TensorRT Model Optimizer v0.15 with Improved Inference Performance
NVIDIA releases TensorRT Model Optimizer v0.15, offering enhanced inference performance through new features like cache diffusion and expanded AI model support.