What are Parameters in Large Language Model?

What are the Parameters in the Large Language Model?
00:26 💡 Parameters in large language models like GPT-3 are variables learned during training to minimize the difference between predicted and actual output.
02:30 🧮 Parameters include both weights and biases in neural networks, which help adjust and optimize the model during training.
04:17 📊 Parameters in neural networks are calculated by multiplying inputs by outputs, considering both weights and biases.
05:50 🌐 Large language models like GPT-3 have billions of parameters, indicating their complexity with numerous layers, nodes, and connections.
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[@VadiyalaRR]

No one has explained the parameters as simple as you...super

[@naveenr1729]

Thank you sir for explaining this 👏

[@decodingdatascience]

welcome do subscribe

[@MohammadArshadAhmad]

Thanks for sharing

[@decodingdatascience]

Welcome

[@mdarshadahmad]

thanks

[@user-jk1hp4xb4p]

Nice content. Thanks from Brazil!

[@decodingdatascience]

welcome do subscribe

[@decodingdatascience]

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[@MohammadArshadAhmad]

Thanks for sharing @decodingdatascience

[@maryrosedelrosario6084]

💯💯💯💯💯

[@mdarshadahmad]

thanks

[@decodingdatascience]

welcome do subscribe

[@odebroqueville]

This doesn't sound accurate, I'd rather say ouput = input x weight and NOT weight = input x output!

[@MohammadArshadAhmad]

Thanks for sharing

[@mdarshadahmad]

welcome

[@decodingdatascience]

welcome do subscribe