Inference Time Scaling Laws: A New Frontier in AI
For a long time, the focus in LLM development was on pre-training. This involved scaling up compute, dataset sizes and […]
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LLM Architectures and Internals
What Is GPT? A Beginner’s Guide To Generative Pre-trained Transformers
Generative Pre-trained Transformer (GPT) models have pushed the boundaries of NLP, enabling machines to understand and generate human-like text with
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Multi-modal Transformers: Bridging the Gap Between Vision, Language, and Beyond
The exponential growth of data in diverse formats—text, images, video, audio, and more—has necessitated the development of AI models capable
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T5: Exploring Google’s Text-to-Text Transformer
An intuitive way to view T5 (Text-to-Text Transfer Transformer) is as a multi-purpose, precision instrument that configures itself to each
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Phi-4: A Powerful Small Language Model Specialized in Complex Reasoning
Microsoft has released Phi-4, designed to excel in mathematical reasoning and complex problem-solving. Phi-4, with only 14 billion parameters, demonstrates
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BERT Explained: A Simple Guide
BERT (Bidirectional Encoder Representations from Transformers), introduced by Google in 2018, allows for powerful contextual understanding of text, significantly impacting
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Large Concept Models (LCM): A Paradigm Shift in AI
Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on individual words or subword tokens,
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SentencePiece: A Powerful Subword Tokenization Algorithm
SentencePiece is a subword tokenization library developed by Google that addresses open vocabulary issues in neural machine translation (NMT). SentencePiece
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WordPiece: A Subword Segmentation Algorithm
WordPiece is a subword tokenization algorithm that breaks down words into smaller units called “wordpieces.” These wordpieces can be common
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