ModernBERT: A Leap Forward in Encoder-Only Models
ModernBERT emerges as a groundbreaking successor to the iconic BERT model, marking a significant leap forward in the domain of […]
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Transformers
Qwen2.5-1M: Million-Token Context Language Model
The Qwen2.5-1M series are the first open-source Qwen models capable of processing up to 1 million tokens. This leap in
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DeepSeek-R1: How Reinforcement Learning is Driving LLM Innovation
DeepSeek-R1 represents a significant advancement in the field of LLMs, particularly in enhancing reasoning capabilities through reinforcement learning (RL). This
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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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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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TabPFN: A Foundation Model for Tabular Data
Tabular data, the backbone of countless scientific fields and industries, has long been dominated by gradient-boosted decision trees. However, TabPFN
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T5: Exploring Google’s Text-to-Text Transformer
Developed by researchers at Google Research, T5 (Text-to-Text Transfer Transformer) [paper] employs a unified text-to-text framework to facilitate various NLP
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Phi-4: A Powerful Small Language Model Specialised 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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Tool-Integrated Reasoning (TIR): Empowering AI with External Tools
Tool-Integrated Reasoning (TIR) is an emerging paradigm in artificial intelligence that significantly enhances the problem-solving capabilities of AI models by
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Tree of Thought (ToT) Prompting: A Deep Dive
Tree of Thought (ToT) prompting is a novel approach to guiding large language models (LLMs) towards more complex reasoning and
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