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 »
PromptWizard addresses the limitations of manual prompt engineering, making the process faster, more accessible, and adaptable across different tasks. Prompt
PromptWizard: LLM Prompts Made Easy Read More »
What is DSPy? Declarative Self-improving Python (DSPy) is an open-source python framework [paper, github] developed by researchers at Stanford, designed
DSPy: A New Era In Programming Language Models 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 »
SentencePiece is a subword tokenization library developed by Google that addresses open vocabulary issues in neural machine translation (NMT). SentencePiece
SentencePiece: A Powerful Subword Tokenization Algorithm Read More »
WordPiece is a subword tokenization algorithm that breaks down words into smaller units called “wordpieces.” These wordpieces can be common
WordPiece: A Subword Segmentation Algorithm Read More »
Vision Transformers (ViT) have emerged as a groundbreaking architecture that has revolutionized how computers perceive and understand visual data. Introduced
Dissecting the Vision Transformer (ViT): Architecture and Key Concepts Read More »
