Internal document: Google trained PaLM 2 on 3.6T tokens and 340B parameters, compared to 780B tokens and 540B parameters for the original PaLM in 2022 (Jennifer Elias/CNBC)
Jennifer Elias / CNBC:
Internal document: Google trained PaLM 2 on 3.6T tokens and 340B parameters, compared to 780B tokens and 540B parameters for the original PaLM in 2022 — – Google’s PaLM 2 large language model is using nearly five times the amount of text data for training as its predecessor LLM, CNBC has learned.
Jennifer Elias / CNBC:
Internal document: Google trained PaLM 2 on 3.6T tokens and 340B parameters, compared to 780B tokens and 540B parameters for the original PaLM in 2022 — – Google’s PaLM 2 large language model is using nearly five times the amount of text data for training as its predecessor LLM, CNBC has learned.
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