The History of AI Models - Part 3: The Transformer Era & LLMs (2017 - 2022)

By 2017, models like RNNs and LSTMs were experiencing serious bottlenecks in understanding long texts and parallel processing. That is, until that historic paper by Google researchers was published...
In the third part of our series, we examine the turning points that completely changed the course of the AI world:

• "Attention Is All You Need": The invention of the Transformer architecture and the Self-Attention mechanism that taught AI to understand context simultaneously.
• The Great Race Begins: The birth of Google's BERT model and OpenAI's "Generative" GPT series.
• The Rise of Large Language Models (LLMs): The mind-blowing abilities of GPT-2 and GPT-3, reaching billions of parameters to write code and make logical inferences.
• The 2022 ChatGPT Explosion: AI breaking out of laboratories and into everyone's pockets with the public release of models trained with human feedback (RLHF). You can access the full article where we explain how language models changed the world right here: 🔗 Read the Original Article: The History of AI Models - Part 3: Transformers