Agustin Diaz-Cano·Sep 15Predicting the Generative AI Boom: My Tech Presentation in March 2021 (20 Months Before ChatGPT)
PARAMJEET·Sep 14GPT-3 End-to-End: What Actually Happens From Text to the Next TokenA better mental model is to follow one piece of text through the entire pipeline, from the moment it enters GPT-3 to the moment the model…
Jagdish M·Jun 7How Large Language Models Learn to Follow Human Instructions?Why Raw LLMs Struggle with Instructions
InArtificial Intelligence in Plain EnglishbyPooja Dave·May 30GPT-3: The Research Paper That Started the AI RevolutionIntroduction
RamMG·Apr 30GPT-3: 175 Billion Parameters and the Death of Fine-TuningBy Ramprasad | NLP Series — Part 5
Daniel Olabemiwo·Apr 23GPT-3: Language Models are Few-Shot LearnersThis article is part of an ongoing, collaborative study series we’re running at Attention Factory, where we have been breaking down…
kanishk gupta·Mar 15AI Concepts Are Decades Old — So Why Is AI Suddenly Taking Over Every Field?Ever wondered why AI suddenly became so intelligent within just the last 2–4 years, when the concepts, mathematics, algorithms, and tools…
InCoding NexusbyCode Pulse·Feb 6I Rebuilt GPT-OSS-20B From ScratchRebuilding GPT-OSS-20B in PyTorch, from RoPE and MoE to GQA and KV caching, running on a single A100.
Nithin Mohan TK·Dec 13, 2025The Complete Evolution of OpenAI’s GPT Models: From GPT-1 to GPT-5.2The story of OpenAI’s GPT (Generative Pre-trained Transformer) models is nothing short of revolutionary. What began as a modest 117-million…
