Marktechpost

MAY 8, 2024

Extensions to the base DQN algorithm, like Double Q Learning and Prioritized replay, enhance its performance, offering promising avenues for autonomous driving applications. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

Deep Learning 99

Deep Learning Neural Network Data Scarcity Natural Language Processing 99

Unite.AI

MARCH 13, 2024

Ensuring data quality, addressing potential biases, and maintaining strict privacy and security standards for sensitive medical data are the major concerns. Data Availability and Quality : Obtaining high-quality, domain-specific datasets is crucial for training accurate and reliable DSLMs.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52