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Explore how to build and train a 25-million parameter LLM directly on your CPU, stripping away the need for expensive GPU clusters. This hands-on approach reveals core LLM architecture, pre-training with cross-entropy loss, and post-training with Reinforcement Learning, allowing rapid iteration and direct observation of model behavior changes.
InstructGPT, introduced in OpenAI's 2022 paper, revolutionized LLM development by shifting focus from raw capability to alignment. It fine-tuned GPT-3 using Reinforcement Learning from Human Feedback (RLHF) to make models more helpful, honest, and harmless. This multi-stage pipeline, involving supervised fine-tuning, reward model training, and PPO, taught LLMs to follow human instructions consistently, leading to the foundation of modern conversational AI like ChatGPT.
DeepMind veteran David Silver has secured an unprecedented $1.1 billion in funding for his new British AI lab, Ineffable Intelligence, at a $5.1 billion valuation. The company aims to build a "superlearner" AI that acquires knowledge and skills purely through reinforcement learning, without relying on human data, a radical departure from current large language models.
