Tag: #gpt
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 7 posts
7 posts are tagged #gpt; the most recent was published on 2026-05-16.
Often tagged together: #transformer 5 #2026-03 4 #deep-learning 4 #llm 4 #claude 3
Most read in the last 90 days:
- BFCL Benchmark Complete Guide 2025: Tool Calling Evaluation, Leaderboard Analysis, Model Comparison
- AI Translation & Localization Tools 2026 — DeepL, Lilt, Smartling, ModernMT, Crowdin, Phrase, Google Translate, Claude, GPT, NMT Deep Dive
- Build Your Own GPT — Training a Language Model from Scratch with nanoGPT
AI Translation & Localization Tools 2026 — DeepL, Lilt, Smartling, ModernMT, Crowdin, Phrase, Google Translate, Claude, GPT, NMT Deep Dive ♪ Listenable
Translation in 2026 is no longer a single-model story. DeepL still rules European, Korean, and Japanese pairs; LLMs (Claude, GPT, Gemini) bring long context and free-form domain adaptation; Lilt and ModernMT lead human-i
2026-05-16 · 34 min read #ai-translation#localization#deepl#lilt#smartlingLLM Landmark Papers Guide — From Attention to GPT, LLaMA, DeepSeek, o1, and Claude (with References, 2026)
Where do the real shifts in LLMs come from? From Attention is All You Need in 2017 to the reasoning models of 2026, this guide organizes the 20-odd landmark papers you must know, by era and theme. Each paper is compresse
2026-05-14 · 15 min read #llm#research-papers#transformer#gpt#llamaBFCL Benchmark Complete Guide 2025: Tool Calling Evaluation, Leaderboard Analysis, Model Comparison
Everything about BFCL (Berkeley Function Calling Leaderboard)! Benchmark categories (Simple/Multiple/Parallel/Relevance/AST), evaluation metrics, model performance comparison (Claude/GPT/Gemini/Llama), running your own e
2026-03-25 · 22 min read #bfcl#benchmark#tool-calling#function-calling#evaluationBuilding LLM from Scratch: Complete Guide to Understanding GPT through Code ♪ Listenable
A complete guide to building and understanding Large Language Models from scratch. Implement a full GPT architecture in PyTorch — from tokenizer to Transformer, pretraining, and fine-tuning.
2026-03-17 · 21 min read #llm#gpt#transformer#from-scratch#deep-learningNatural Language Processing Complete Guide: Zero to Hero - From Text Processing to LLMs ♪ Listenable
A comprehensive guide from NLP fundamentals to the latest LLMs. Learn text preprocessing, Word2Vec, RNN/LSTM, Attention, Transformer, BERT, and GPT step by step with practical code examples.
2026-03-17 · 33 min read #nlp#natural-language-processing#transformer#bert#gptBuild Your Own GPT — Training a Language Model from Scratch with nanoGPT
Train a GPT language model from scratch using Andrej Karpathy's nanoGPT. A complete dissection of the Transformer architecture — tokenizers, Self-Attention, training loops — all with code.
2026-03-03 · 7 min read #ai#llm#gpt#nanogpt#transformerComplete Analysis of the GPT Series Papers: The Journey from GPT-1 to GPT-4, How Language Models Changed the World ♪ Listenable
A complete generation-by-generation analysis of OpenAI GPT series. From GPT-1 unsupervised pre-training, GPT-2 zero-shot learning, GPT-3 in-context learning and scaling laws, InstructGPT RLHF, to GPT-4 multimodal capabil
2026-03-01 · 36 min read #gpt#openai#language-model#transformer#pre-training