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Did already ask yourself why GET methods in DynamoDb are so fast?.

Python's great for prototyping and has amazing libraries like Hugging Face's Transformers, but when performance matters, Rust shines.

ThreadPoolExecutor is part of Python's `concurrent.futures` module, which was introduced in Python 3.2. It provides a high-level interface for asynchronously executing callables.

In the LLM world, 'needle in a haystack' refers to the challenge of finding specific, accurate information within the vast amount of data these models have been trained on.

When building a RAG application, it's very common to face low accuracy at the beginning. To overcome this issue, techniques such as prompt engineering, filtered search, score extractor and more are mandatory to reach performances above 80%.

Cache input tokens and consult them for subsequent requests.

Parallel programming is a type of computing architecture where multiple processes run simultaneously. This approach can significantly speed up computations by leveraging multi-core processors.