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Llama

Llama 2 What’s New in Llama 2 Here are some of the key differences between Llama 2 and Llama: Training data: Llama 2 is trained on 40% more tokens than Llama, a total of 2 trillion tokens. This gives it a larger knowledge base and allows it to generate more accurate responses. Model size: Llama

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Alpaca

Alpaca Introduction : Alpaca A team of researchers from Stanford University developed an open-source language model called Alpaca. It is based on Meta’s large-scale language model Llama. The team used OpenAI’s GPT API (text-davinci-003) to fine tune the Llama 7 billion (7B) parameters sized model. The goal of the team is to make AI available for everyone

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NUMPY ARGMAX() FUNCTION : LEARN WITH EXAMPLES

The numpy.argmax() function in Python is used to find the indices of the maximum element in an array. Syntax of NumPy argmax() Function Below is the syntax of the NumPy argmax() function: import numpy as np np.argmax(array, axis, out) array : NumPy array. axis : (optional). Specify the axis to find the indices of the maximum value in two dimensional arrays.

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