Blue River Technology needed to rapidly scale and optimize their computer vision model development pipeline and decrease their iteration cycles — which often took several weeks — to hours in order to deliver
The description section describes what you can do with the model, the expected types of inputs and outputs, and the data type needed for fine-tuning your model. You can also programmatically utilize models with the SageMaker Python SDK. For a list of all available models, see the JumpStart...
Medical imagingArtificial intelligenceTask-specific modelFoundation modelGeneralized representationsArtificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance ...
Chinese AI company DeepSeek releases new Janus-Pro 7B model: multimodal AI models that are meant to outperform OpenAI's dominant DALL-E 3. VIEW GALLERY - 2 Anthony Garreffa Gaming EditorPublished Jan 27, 2025 3:03 PM CST 1 minute & 45 seconds read time As an...
Distillation [1] involves generating a large amount of data from a large/expensive LLM (called ateacher model), and training a smaller, more efficient, and performant LLM (called astudent model) on it to achieve quality comparable to the larger LLM. ...
We present TSDS (Task-Specific Data Selection), a framework to select data for task-specific model finetuning, guided by a small but representative set of examples from the target task. To do so, we formulate data selection for task-specific finetuning as an optimization problem with a ...
The disclosure provides an approach for automatically determining task-specific robot model reductions. In one embodiment, a simplification application determines a smallest order s
Model merging integrates the weights of multiple task-specific models into a single multi-task model. Despite recent interest in the problem, a significant performance gap between the combined and single-task models remains. In this paper, we investigate the key characteristics of task matrices --...
United States Patent US9579796 Note: If you have problems viewing the PDF, please make sure you have the latest version ofAdobe Acrobat. Back to full text
► Bayesian model selection favors a model including within- and cross-frequency coupling. ► γ–γ and θ–γ band coupling is predominant during fast phasic movements of right index. ► During an isometric contraction of the right forearm β-β coupling is predominant. ► Changes in ...