Announcement: We're launching LabelGPT, World's fastest prompt based labeling tool. Join the waiting list to get beta access
Akshit Mehra

Akshit Mehra

Akshit is a Computer Science graduate from IIT Ropar. He writes on topic of computer vision, deep learning, LLMs finetuning and Tensorflow. He is working with Labellerr as an Associate ML Engineer.
Delhi, India
Transforming Computer Vision: The Rise of Vision Transformers and Their Impact
computer vision

Transforming Computer Vision: The Rise of Vision Transformers And Its Impact

As introduced by Vaswani et al. in 2017, self-attention-based architectures, particularly Transformers, have become the favored choice in natural language processing (NLP). The prevailing approach involves pre-training these models on extensive text corpora and fine-tuning them on more specific tasks, commonly referred to as fine-tuning. Transformers have demonstrated remarkable computational
9 min read
Training Small-Scale Vs Large-Scale Language Models: The Difference
Large Language Models

Training Small-Scale Vs Large-Scale Language Models: The Difference

Language model development has significantly evolved, leading to the emergence of small-scale and large-scale models. These models have revolutionized various natural language processing related tasks and profoundly impacted the artificial intelligence field. Understanding the differences between small-scale and large-scale language models is crucial for grasping their capabilities and implications.             Figure:
8 min read