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LLM Optimization is the process of improving the effectiveness and efficiency of large language models. This involves lowering the environmental effect of training and implementing these models along with increasing the computing efficiency, text creation accuracy and handling the biasness.  LLM stands for Large Language Model and there are multiple optimization techniques that can be used for optimising LLM.  Let’s have a look to know more about them in detail:  • LLM Inference Optimization: To enhance the effectiveness and speed at which a trained LLM generates predictions or answers, this type is used. It can include the methods that minimize inference time and resource usage without compromising on accuracy.  • LLM Prompt Optimization: This type includes the creation of efficient and effective prompts or inputs for LLMs. This is done in order to get the desired results or answers for the prompts. To improve performance or accuracy for certain activities or domai...