<ul data-eligibleForWebStory="true"><li>Large Language Learning Models (LLMs) like GPT4 and BERT have become integral in powering up AI, leading to advancements in machine learning (ML) and natural language processing (NLP).</li><li>NLP involves understanding and generating human languages through training massive datasets with deep learning architectures and transformer models, based on components like self-attention mechanisms and neural networks.</li><li>LLMs undergo pre-training, supervised training, and transfer learning phases before inference and generation, addressing challenges like computational resources, bias, ethics, and interpretability.</li><li>The concept of decentralized AI (DeAI) with Oasis Labs' privacy-focused technologies like decentralized confidential computation (DeCC) and ROFL framework offers a solution to traditional centralized LLM challenges, ensuring privacy, integrity, and fairness in AI models.</li></ul>

Understanding LLMs & Ideating A Decentralized Approach To Solve Challenges

Discover more