Imagine building a city: at first, you lay simple roads and bridges, but as the population grows and needs diversify, […]
How Large Language Model Architectures Have Evolved Since 2017 Read More »
Imagine teaching a child to understand the world. You do not just show them a picture of a dog and
BLIP Model Explained: How It’s Revolutionizing Vision-Language Models in AI Read More »
ModernBERT emerges as a groundbreaking successor to the iconic BERT model, marking a significant leap forward in the domain of
ModernBERT: A Leap Forward in Encoder-Only Models Read More »
The Qwen2.5-1M series are the first open-source Qwen models capable of processing up to 1 million tokens. This leap in
Qwen2.5-1M: Million-Token Context Language Model Read More »
DeepSeek-R1 represents a significant advancement in the field of LLMs, particularly in enhancing reasoning capabilities through reinforcement learning (RL). This
DeepSeek-R1: How Reinforcement Learning is Driving LLM Innovation Read More »
For a long time, the focus in LLM development was on pre-training. This involved scaling up compute, dataset sizes and
Inference Time Scaling Laws: A New Frontier in AI Read More »
When you read the fragment, “She reached into her bag and pulled out a …”, your mind immediately narrows the
GPT Made Easy: Everything Beginners Need to Know Read More »
The exponential growth of data in diverse formats—text, images, video, audio, and more—has necessitated the development of AI models capable
Multi-modal Transformers: Bridging the Gap Between Vision, Language, and Beyond Read More »
An intuitive way to view T5 (Text-to-Text Transfer Transformer) is as a multi-purpose, precision instrument that configures itself to each
T5: Exploring Google’s Text-to-Text Transformer Read More »
Microsoft has released Phi-4, designed to excel in mathematical reasoning and complex problem-solving. Phi-4, with only 14 billion parameters, demonstrates
Phi-4: A Powerful Small Language Model Specialized in Complex Reasoning Read More »
BERT (Bidirectional Encoder Representations from Transformers), introduced by Google in 2018, allows for powerful contextual understanding of text, significantly impacting
BERT Explained: A Simple Guide Read More »
Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on individual words or subword tokens,
Large Concept Models (LCM): A Paradigm Shift in AI Read More »
