SmolLM3

SmolLM3: A Powerful 3B Multilingual Model with Long-Context Reasoning

Introducing SmolLM3: Small, Efficient, and Highly Capable The AI community continues to push the boundaries of small language models (SLMs), proving that bigger isn’t always better. Today, we’re excited to introduce SmolLM3, a 3B-parameter model that outperforms competitors like Llama-3.2-3B and Qwen2.5-3B while rivaling larger 4B models (Qwen3 & Gemma3). What makes SmolLM3 special? ✅ Multilingual (English, French, Spanish, German, Italian, Portuguese) ✅ 128K long-context support (via NoPE +…

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ai architecture

Inner Workings of ChatGPT-4 AI Attention Blocks, Feedforward Networks, and More

At its core, ChatGPT-4 is built on the Transformer architecture, which revolutionized AI with its self-attention mechanism. Below, we break down the key components and their roles in generating human-like text. 1. Transformer Architecture Overview The Transformer consists of encoder and decoder stacks, but GPT-4 is decoder-only (it generates text autoregressively). Key Layers in Each Block:…

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UNDERSTANDING TRANSFORMERS

Understanding Transformers: The Mathematical Foundations of Large Language Models

In recent years, two major breakthroughs have revolutionized the field of Large Language Models (LLMs): 1. 2017: The publication of Google’s seminal paper, (https://arxiv.org/abs/1706.03762) by Vaswani et al., which introduced the Transformer architecture – a neural network that fundamentally changed Natural Language Processing (NLP). 2. 2022: The launch of ChatGPT by OpenAI, a transformer-based chatbot…

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