• The case for 4-bit precision: k-bit Inference Scaling Laws
• No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
• PUMA: Secure Inference of LLaMA-7B in Five Minutes
• Optimized Network Architectures for Large Language Model Training with Billions of Parameters
• A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

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