Search Results for "language models"
Deploying Trillion Parameter AI Models: NVIDIA's Solutions and Strategies
Explore NVIDIA's strategies for deploying trillion-parameter AI models, including parallelism techniques and the Blackwell architecture.
Prover-Verifier Games Enhance Clarity of Language Model Outputs
OpenAI introduces Prover-Verifier Games to improve the clarity and legibility of language model outputs, potentially transforming AI communication.
NVIDIA NVLink and NVSwitch Enhance Large Language Model Inference
NVIDIA's NVLink and NVSwitch technologies boost large language model inference, enabling faster and more efficient multi-GPU processing.
AMD Introduces AMD-135M: A Breakthrough in Small Language Models
AMD has unveiled its first small language model, AMD-135M, with Speculative Decoding, enhancing AI model efficiency and performance.
Enhancing Large Language Models with NVIDIA Triton and TensorRT-LLM on Kubernetes
Explore NVIDIA's methodology for optimizing large language models using Triton and TensorRT-LLM, while deploying and scaling these models efficiently in a Kubernetes environment.
NVIDIA's AI Innovations Empower Indian Enterprises to Harness Local Language Models
NVIDIA's AI technology helps Indian enterprises develop multilingual models, enhancing accessibility for over a billion speakers of local languages, including Hindi.
NVIDIA NIM Enhances Visual AI Agents with Advanced Multimodal Capabilities
NVIDIA NIM microservices enable the creation of intelligent visual AI agents, offering real-time decision-making and automation through vision-language models and computer vision advancements.
AMD Unveils OLMo: A New Era in Open-Source Language Models
AMD introduces its first 1 billion parameter language models, OLMo, designed to enhance AI research and applications with open-source accessibility.
Enhancing Code Review with Fine-Tuned Small Language Models
NVIDIA's fine-tuning of small language models (SLMs) promises enhanced accuracy in code review automation, reducing costs and latency while ensuring data privacy.
NVIDIA Unveils New Language Models for RTX AI PCs
NVIDIA introduces small language models to enhance digital human responses, enabling improved interaction with agents, assistants, and avatars on RTX AI PCs.
NVIDIA Enhances TensorRT-LLM with KV Cache Optimization Features
NVIDIA introduces new KV cache optimizations in TensorRT-LLM, enhancing performance and efficiency for large language models on GPUs by managing memory and computational resources.
NVIDIA's AI Sales Assistant: Insights and Innovations
Explore the development and key learnings from NVIDIA's AI sales assistant, leveraging large language models and retrieval-augmented generation to streamline sales workflows.