9/ LLMs for IT Operations – proposes OWL, an LLM for IT operations tuned using a self-instruct strategy based on IT-related tasks; it discusses how to collect a quality instruction dataset and how to put together a benchmark.
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Top Machine Learning Papers of the Week: LongLoRA, AlphaMissense
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Top ML Papers of the Week (Sep 18 – Sep 24): – LongLoRA
– AlphaMissense
– Chain-of-Verification
– LLMs for IT Operations
– Language Modeling is Compression
– LLMs for Generating Structured Data
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Hidden Python Tools: Namedtuples and Coding Efficiency
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Namedtuples are truly useful
There are many hidden tools in python Lang that ease the coding unlike other langs -
Python ML LLMs tutorials shared daily by Akshay Pachaar
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I hope you learned something new today! If you Enjoyed reading this & are interested in – Python – ML/MLOps – CV/NLP – LLMs – AI Engineering Find me → @akshay_pachaar Everyday, I share tutorials on the above topics! Thanks for reading!
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Converting Namedtuple to Dictionary Using _asdict() Method
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Converting Namedtuple to Dictionary: A Namedtuple can be easily converted to a dictionary! Using the `_asdict()` method! Check this out
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Namedtuples Immutability: Understanding Python Data Structures
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Immutability of Namedtuples: Namedtuples are immutable, just like regular tuples. This means once they are created, their values can’t be changed! Check this out
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Namedtuples: Accessing Elements by Index and Attribute Names
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Accessing Elements: With Namedtuples, you can access elements both using indices and attribute names, making your code more readable and self-explanatory! Check this out
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Understanding Namedtuples in Python Collections Module
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What is a Namedtuple Namedtuple is a function available in the `collections` module. It returns a new class that can be used to create tuple-like objects which have fields accessible by attribute lookup! Here's an example
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Improve Python Code Efficiency with Namedtuples
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Make your Python code more efficient & readable! Let's talk Namedtuples, a powerful tool for creating simple, immutable objects with easily readable attributes. — a step-by-step explanation with code — Let's go!
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Creator Reaches 5K YouTube Milestone with Streamlit Data Science
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Huge congrats to my friend @andfanilo for reaching the 5k mark on YouTube! Keep inspiring us with your @Streamlit apps and #DataScience insights! > https://
youtube.com/@andfanilo