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Strategic Implications of Model Training Teasers
Companies strategically tease model training advancements to showcase their progress before benchmarks shift, indicating a trend of early model checkpoints being released to access or beta test. Llama Three's training on a larger dataset with more code implies improved coding performance. The use of 24,000 NVIDIA Tensor Core H100 GPUs by Meta reflects a heavy investment in training capabilities, aligning with the trend of promoting hardware advancements in the field.