Introduction The landscape of artificial intelligence (AI) has evolved rapidly, with models like GPT-OSS and Qwen3 leading the charge. These models represent significant advancements from their predecessors, such as GPT-2, offering enhanced capabilities and accessibility. This blog delves into the evolution of AI models, providing a detailed comparison of GPT-OSS and Qwen3, and explores their implications for the future of AI.
The Evolution from GPT-2 Since the introduction of GPT-2 in 2019, AI models have seen remarkable progress. GPT-2 demonstrated the potential of large language models (LLMs) in generating coherent text. However, it was limited by its model size and training data. Subsequent models, including GPT-3 and its variants, have expanded in scale, with improvements in training techniques and application capabilities. This section traces the journey from GPT-2 to the current models, highlighting key advancements.
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