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Prompt engineering, like language models themselves, has come a long way in the past 12 months. It was only a little…
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 image captioning to visible…
Research
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A Clinical Perspective on Medical Innovation Image generated by Dall-E 3Being an oncologic surgeon is my primary job and passion. It allows me to interact with people and immerse myself…
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 significant constraints on processing…
In the last few years, a focus in language modelling has been on improving performance through increasing the number of parameters in transformer-based models. This approach has led to impressive…
Boost the performance of your supervised fine-tuned models 10 min read · 14 hours ago Image by authorPre-trained Large Language Models (LLMs) can only perform next-token prediction,…
Integrating multimodal data such as text, images, audio, and video is a burgeoning field in AI, propelling advancements far beyond traditional single-mode models. Traditional AI has thrived in unimodal contexts,…
Working toward greater generalisability in artificial intelligence Today, conference season is kicking off with The Tenth International Conference on Learning Representations (ICLR 2022), running virtually from 25-29 April, 2022. Participants…
Learning to code when AI assistants already master the skill Image created by author using Midjourney.The revelation came in the summer of 2023, when I took on a high school…