LANGUAGE MODELS
The Role of Small Language Models in Advancing Agentic AI
Exploring how small language models (SLMs) are transforming agentic AI by offering cost-effective, efficient solutions for enterprises, while large language models (LLMs) maintain their role in complex tasks.
Optimizing Language Models: NVIDIA's NeMo Framework for Model Pruning and Distillation
Explore how NVIDIA's NeMo Framework employs model pruning and knowledge distillation to create efficient language models, reducing computational costs and energy consumption while maintaining performance.
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.
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.
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.
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.
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.
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.
Understand JPMorgan's DocLLM: Enhancing AI-Powered Document Analysis
JPMorgan introduces DocLLM, an AI model for multimodal document understanding. This lightweight extension of LLMs excels in analyzing business documents, employing a novel spatial attention mechanism and bounding box information instead of costly image encoders.