The Evolution of OpenAI's GPT Models
From basic language models to multimodal and reasoning-focused systems in less than seven years!
šš£š§-š (ššš»š² š®š¬šš“): Started with decoder-only architecture and generative pre-training.
šš£š§-š® (šš²šÆšæšš®šæš š®š¬ššµ): Pioneered unsupervised multitask learning with scaled model size.
šš£š§-šÆ (š š®š š®š¬š®š¬): Breakthrough in-context learning, exploring scaling limits.
šš¼š±š²š (ššš¹š š®š¬š®š): Specialised in code pre-training, powering tools like GitHub Copilot.
šš£š§-šÆ.š± (š”š¼šš²šŗšÆš²šæ š®š¬š®š®): Bridged to ChatGPT, enhancing conversational abilities.
šš£š§-š° (š š®šæš°šµ š®š¬š®šÆ): Marked by strong reasoning abilities, a leap in performance.
šš£š§-š°š¼ (š š®š š®š¬š®š°): Introduced multimodal capabilities, processing text, images, and audio.
š¼š (š¦š²š½šš²šŗšÆš²šæ š®š¬š®š°): Kicked off the o-series with advanced simulated reasoning for complex tasks.
šš£š§-š°.š (šš½šæš¶š¹ š®š¬š®š±) & š¼šÆ (šš½šæš¶š¹ š®š¬š®š±): Further improved performance, with o3 excelling in multimodal reasoning, including image analysis.
Chief Evangelist @ Kore.ai | Iām passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.