New LLM Pre-training and Post-training Paradigms
Read OriginalThis article analyzes recent advancements in the training pipelines of large language models (LLMs). It examines the evolving methodologies for both pre-training and post-training (including fine-tuning and alignment) by reviewing the technical reports of four major new models: Alibaba's Qwen 2, Apple's foundation models, Google's Gemma 2, and Meta's Llama 3.1, providing a practical look at what works in modern LLM development.
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