Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...

What if you could transform hours of audio into precise, actionable text with just a few lines of code? In 2025, this is no longer a futuristic dream but a reality powered by innovative speech-to-text ...

The binary numeral system – where each position is written as a 0 or 1 – forms the foundation of all modern computing systems. In essence, binary code produces a representation of reality; it is ...

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Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...

Abstract: Automatic text summarization (ATS) deals with compressing a long document into a shorter version, retaining the key ideas of the original document. It aims to tackle the problem of ...

This is due to the fact the retuned body is in bytes and then the deserialisation tries to make a string of it and in newer python this generates a repr of the bytes which corresponds to this string.