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VPVed Pandeyvedpandeydev.hashnode.dev2h ago · 7 min read

How ChatGPT Understands Your Questions?

Introduction Ever thought how exactly does an LLM understands our question as well as answers it? Hey there everyone, hope you are doing great in your life and enjoying every bit of it! Today we are

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MSMohd Sameermohd-sameer.hashnode.dev20h ago · 5 min read

How ChatGPT or any LLMs Understands Your Questions?

If you’ve used ChatGPT, Gemini, or Claude, you’ve interacted with some of the most complex software ever built. But beneath the surface, these tools aren't "thinking" the way humans don they are perfo

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MHMohamed Hamedmo-mentor.hashnode.devApr 21 · 16 min read

Part 7 — The Transformer: The Architecture That Accidentally Changed the World

THE ENGINE OF THE FUTURE Transformer "Attention Is All You Need" — the paper that changed everything Last article we saw how the four learning types + training loop built ChatGPT. Today we open the box and see the exact architecture that made all of ...

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Ttelostelos-robotics.hashnode.devApr 13 · 6 min read

Octo: Open-Source Generalist Robot Policy

TL;DR Octo is an open-source generalist robot policy developed by UC Berkeley RAIL Lab. It's a Transformer model pretrained on 800k trajectories from the Open X-Embodiment dataset, conditioned on natural language commands or goal images, and can adap...

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Ttelostelos-robotics.hashnode.devApr 12 · 6 min read

RT-1: Robotics Transformer for Real-World Control at Scale

TL;DR RT-1 is a 35M-parameter transformer trained on 130,000 real robot demonstrations across 700+ tasks. It takes natural language instructions and camera images as input, and outputs discretized robot actions at 3 Hz in real time. It achieves 97% s...

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SHSirui Hecliolabs.hashnode.devApr 11 · 22 min read

Manifolds and Genesis

What follows is a record of a conversation between a machine learning researcher and a large language model. It began with an engineering question about how system prompts work. Where it ended, well,

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Aaiagentmemoryaiagentmemory.hashnode.devApr 7 · 8 min read

LLM Memory Calculator Hugging Face: Estimating Transformer Context

An LLM memory calculator Hugging Face tool estimates the token count for Transformer models, crucial for managing context window limits on the Hugging Face platform. It helps predict memory footprint and computational costs, ensuring efficient deploy...

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AAAbstract Algorithmsabstractalgorithms.devMar 9 · 18 min read

How Transformer Architecture Works: A Deep Dive

TLDR: The Transformer is the architecture behind every major LLM (GPT, BERT, Claude, Gemini). Its core innovation is Self-Attention — a mechanism that lets the model weigh relationships between all to

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TTTerry Taotaot.hashnode.devFeb 8 · 3 min read

Grokking of Transformer on Modular Addition

Background Grokking is a phenomenon where a model quickly achieves near-perfect training accuracy (memorization), while validation accuracy remains near chance for a long time, and then later transitions sharply to strong generalization after extende...

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RWRupali Wankhedeenergyandpowers.hashnode.devAug 4, 2025 · 3 min read

Transformers: Powering the Flow of Electricity Across the Grid

In our increasingly electrified world, transformers are vital components of the electrical infrastructure that quietly ensure energy gets from power plants to homes, businesses, and factories. Whether stepping up voltage for long-distance transmissio...

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#transformer

Explore Hashnode

Trending tags this week

How ChatGPT Understands Your Questions?

How ChatGPT or any LLMs Understands Your Questions?

Part 7 — The Transformer: The Architecture That Accidentally Changed the World

Octo: Open-Source Generalist Robot Policy

RT-1: Robotics Transformer for Real-World Control at Scale

Manifolds and Genesis

LLM Memory Calculator Hugging Face: Estimating Transformer Context

How Transformer Architecture Works: A Deep Dive

Grokking of Transformer on Modular Addition

Transformers: Powering the Flow of Electricity Across the Grid