Decoding Strategies in LLM Greedy Beam Search Top K Top P Temperature Explained

In this video, we understand how Large Language Models generate text using different decoding strategies. This is one of the most important concepts to control output quality, creativity, and accuracy in models like GPT. Here is the GitHub repo link https://github.com/switch2ai You can download all the code, scripts, and documents from the above GitHub repository. We start by understanding how decoder works. Given an input Once upon a time The model generates probability for each token in vocabulary token1 → probability token2 → probability token3 → probability The next token is select…