Fine-tuning

…examines model specialisation through fine-tuning and distillation, and learning from production feedback.

Cameras allow recording animal behavior with high temporal and spatial resolution. However, cameras also produce large amounts of data, which become time-consuming to annotate. Hence, recent research has turned to machine-learning-assisted tools to automate animal behavior labeling. Existing Deep Learning methods commonly use a fixed set of behavioral classes and require many labeled instances per class to be trained. Large pretrained vision-language models, such as Contrastive Language Image Pretraining (CLIP), offer great promises to improve and facilitate this annotation process: natural la

…context length improvements, fine-tuning, multi-modal LLMs, robotics, datasets, benchmarking, efficiency, and more. With the rapid development of techniques and regular breakthroughs in LLM research, it has become considerably challenging to perceive the bigger picture of the ad

Øystein Elgarøy discusses the anthropic principle, apparent fine-tuning of physical laws and proposals involving multiple universes. Conversation in Norwegian.