@GroqInc is able to match $200 @OpenAI 's O1 Pro Mode with this System Prompt (Way faster too) on @ainidum Free and Opensource Reasoning Model now available
Hi! This is a demo of our Multilingual on-premise CCIAB (AI CallCenter-In-A-Box) V0.2b
powered by @HaiveTech@e2enetworks@GroqInc
https://t.co/QsoT8oa6FH
If you want something similar: [email protected] Cheers!
Dear journalists, it makes absolutely no sense to write:
"PaLM 2 is trained on about 340 billion parameters. By comparison, GPT-4 is rumored to be trained on a massive dataset of 1.8 trillion parameters."
It would make more sense to write:
"PaLM 2 possesses about 340 billion parameters and is trained on a dataset of 2 billion tokens (or words). By comparison, GPT-4 is rumored to possess a massive 1.8 trillion parameters trained on untold trillions of tokens."
Parameters are coefficients inside the model that are adjusted by the training procedure. The dataset is what you train the model on. Language models are trained with tokens that are subword units (e.g. prefix, root, suffix).
Saying "trained a dataset of X billion parameters" reveals that you have absolutely no understanding of what you're talking about.
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Root cause of Unemployment - Huge Population
Root cause of Poverty - Huge Population
Root cause of Pollution- Huge Population
Root cause of crime - Huge Population
Root cause of almost every Problem Of india - Huge Population
Solution of all this-👇 #PopulationControlLaw