DEEPSEEK
NVIDIA Unveils AI Agent Training Method Using Synthetic Data and GRPO
NVIDIA's new approach combines synthetic data generation with reinforcement learning to train CLI agents on a single GPU, cutting training time from months to days.
NVIDIA's NeMo Framework Enables Weekend Training of Reasoning-Capable LLMs
NVIDIA introduces an efficient method to train reasoning-capable language models over a weekend using the NeMo framework, leveraging the Llama Nemotron dataset and LoRA adapters.
NVIDIA Expands NeMo Platform to Enhance Multimodal Generative AI Development
NVIDIA NeMo now supports an end-to-end pipeline for developing multimodal generative AI models, featuring advanced data curation and tokenization tools for efficient AI model building.
NVIDIA NeMo Enhances LLM Capabilities with Hybrid State Space Model Integration
NVIDIA NeMo introduces support for hybrid state space models, significantly enhancing the efficiency and capabilities of large language models.
NVIDIA NeMo Enhances Customization of Large Language Models for Enterprises
NVIDIA NeMo enables enterprises to customize large language models for domain-specific needs, enhancing deployment efficiency and performance.
