PYTHON PROGRAMMING Tuples are a powerful Python type — but named tuples even more so! Named tuples join the strengths of names and tuples. Photo by Ainur Iman on UnsplashThe…
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 image segmentation (RIS), few-shot…
DeepMind published a series of papers about large language models (LLMs) last year, including an analysis of Gopher, our large language model. Language modelling technology, which is also currently being…
Geospatial indexing, or Geocoding, is the process of indexing latitude-longitude pairs to small subdivisions of geographical space, and it is a technique that we data scientists often find ourselves using…
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 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
…
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…