NVIDIA
4 tracked releases
NVIDIA
Build a Domain-Specific Embedding Model in Under a Day
NVIDIA releases a tutorial for fine-tuning embedding models for domain-specific applications.
This release simplifies the process of creating domain-specific embedding models, making it accessible for enterprises to enhance their retrieval systems with minimal resources.
NVIDIA
Introducing SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
SPEED-Bench is a new benchmark for evaluating speculative decoding (SD) in AI models.
SPEED-Bench provides a comprehensive and realistic evaluation framework for speculative decoding, enabling better analysis and comparison of SD algorithms and models.
NVIDIA
NVIDIA KGMON (NeMo Agent Toolkit) Data Explorer
NVIDIA introduces the KGMON (NeMo Agent Toolkit) Data Explorer for dataset exploration and analysis.
This release enhances the capabilities of autonomous data analysis agents, enabling them to handle complex data queries more efficiently.
NVIDIA
How NVIDIA AI-Q Reached #1 on DeepResearch Bench I and II
NVIDIA AI-Q achieved first place on DeepResearch Bench I and II.
Leading on both benchmarks demonstrates AI-Q's capability to produce high-quality, well-cited research reports with strong retrieval and reasoning abilities.