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Large Language Models (LLMs) have proven remarkably effective in numerous jobs. To fully realize the potential of the models, supervised fine-tuning (SFT) is necessary to match…
PYTHON PROGRAMMINGTuples are a powerful Python type — but named tuples even more so!Named tuples join the strengths of names and tuples. Photo by Ainur Iman…
Object segmentation across images and videos is a complex yet pivotal task. Traditionally, this field has witnessed a siloed progression, with different tasks such as referring…
Causal reasoning is the process of identifying the relationship between a cause and its effect, by which people attempt to infer outcomes, making it one of…
A Clinical Perspective on Medical InnovationImage generated by Dall-E 3Being an oncologic surgeon is my primary job and passion. It allows me to interact with people…
Research Published 2 January 2024 Authors Gamaleldin Elsayed New research shows that even subtle changes to digital images, designed to confuse computer vision systems, can also…
Image created by Author with DALL•E 3 Prompt engineering, like language models themselves, has come a long way in the past 12 months. It…
The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and visual processing, have broad applications, from…
Recent advances in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the introduction of Large Language Models (LLMs). The significantly…
The conventional NeRF and its variations demand considerable computational resources, often surpassing the typical availability in constrained settings. Additionally, client devices’ limited video memory capacity imposes…