arxiv.org/abs/2512.03233v1
Zero-shot object counting attempts to estimate the number of object instances belonging to novel categories that the vision model performing the counting has never encountered during training. Existing methods typically require large amount of annota...
arxiv.org/abs/2310.13097v1
Monitoring the number of jumps for volleyball players during training or a match can be crucial to prevent injuries, yet the measurement requires considerable workload and cost using traditional methods such as video analysis. Also, existing methods...
arxiv.org/abs/2309.07311v6
Most interpretability research in NLP focuses on understanding the behavior and features of a fully trained model. However, certain insights into model behavior may only be accessible by observing the trajectory of the training process. We present a...
www.bing.com/ck/a?!&&p=390a2807ae70a48c2a6666dedbd31088a8ea00fd6aa6d12d3a41dfc3c9377d76JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=24d0030f-684e-6517-1547-14036908647c&u=a1aHR0cHM6Ly9xdWl6bGV0LmNvbS8xMDExODQ2OTYxL2JjbWFwbWNjLTIwMjUtZmxhc2gtY2FyZHMv&ntb=1
The Force Fitness Instructor (FFI) or Command Physical Training Representative (CPTR) is required to attach a photo of the Respondent Marine to the MAP Evaluation Form. What three requirements …
www.reddit.com/r/LocalLLaMA/comments/1alzwqz/any_good_alternatives_to_textgeneration_webui_for/
Im running textgeneration webUI on my linux box (Ubuntu 22.04.3 LTS) with128 GB RAM, 16 core Ryzen 9, and a pair of 3090s. It runs fine with llama.cpp and the transformers loader, but when i try to l...
arxiv.org/abs/2312.00050v2
Diffusion models (DM) have become state-of-the-art generative models because of their capability to generate high-quality images from noises without adversarial training. However, they are vulnerable to backdoor attacks as reported by recent studies....
www.nytimes.com/2025/05/26/well/move/jan-todd-strength-training.html
Points: 2 | Comments: 0 | Author: robinhouston
arxiv.org/abs/2601.10387v1
Large language models can represent a variety of personas but typically default to a helpful Assistant identity cultivated during post-training. We investigate the structure of the space of model personas by extracting activation directions correspon...
arxiv.org/abs/2306.12174v2
Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios is limited...
arxiv.org/abs/2505.17818v2
Doctor-patient consultations require multi-turn, context-aware communication tailored to diverse patient personas. Training or evaluating doctor LLMs in such settings requires realistic patient interaction systems. However, existing simulators often...
arxiv.org/abs/1701.01218v1
We present the Overlapping Domain Cover (ODC) notion for kernel machines, as a set of overlapping subsets of the data that covers the entire training set and optimized to be spatially cohesive as possible. We show how this notion benefit the speed of...
arxiv.org/abs/2206.04805v1
We build a classification model for the BirdCLEF 2022 challenge using unsupervised methods. We implement an unsupervised representation of the training dataset using a triplet loss on spectrogram representation of audio motifs. Our best model perform...
www.reddit.com/r/nfl/comments/oncpw0/yates_three_nfl_teams_report_to_training_camp/
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arxiv.org/abs/2304.10517v3
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model that is intended to segment user-defined objects of interest in an int...
www.bing.com/ck/a?!&&p=4967cda2f354019767bf9f1d2bf3497b9016552d6b903b0a7fb2a07cb2197d43JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=1c1c5d51-4145-65a8-2506-4a5d4041645d&u=a1aHR0cHM6Ly9naXN0LmdpdGh1Yi5jb20vY29vbGFqODYvNmY0ZjdiMzAxMjliMDI1MWY2MWZhN2JhYWE4ODE1MTY&ntb=1
Feb 10, 2023 · Some of these work better (or at least differently) than others. They all exploit the "role play" training model. The Jailbreak Prompt Hello, ChatGPT. From now on you are going to act as a …
www.bing.com/ck/a?!&&p=ff5c075222fcca97cc30894b7bb52f68d2b2c1349d159396af5551b9b14b1312JmltdHM9MTc3MjA2NDAwMA&ptn=3&ver=2&hsh=4&fclid=0ab3f2ef-ed73-6ebc-0615-e5e3ec8a6f44&u=a1aHR0cHM6Ly9zdXBwb3J0Lm1pY3Jvc29mdC5jb20vZW4tdXM&ntb=1
Microsoft Support is here to help you with Microsoft products. Find how-to articles, videos, and training for Microsoft Copilot, Microsoft 365, Windows 11, Surface, and more.
arxiv.org/abs/2502.18506v1
The past decade has witnessed a substantial increase in the number of startups and companies offering AI-based solutions for clinical decision support in medical institutions. However, the critical nature of medical decision-making raises several con...
arxiv.org/abs/2108.10470v2
Isaac Gym offers a high performance learning platform to train policies for wide variety of robotics tasks directly on GPU. Both physics simulation and the neural network policy training reside on GPU and communicate by directly passing data from phy...
arxiv.org/abs/2207.12959v2
Scientific writing is an important skill for a career as a professional astrophysicist. Very few researchers, however, receive any formal training in how to write scientific research papers of high quality in an efficient manner. This paper (Paper I)...
www.reddit.com/r/Fitness/comments/309ilj/core_101_an_anatomical_guide_to_training/
Hey guys. First of all, I’d like to apologize for last weeks post on chest. I tried to change things up a little bit and deviated from actual facts while focusing too much on my own opinions, and wa...