People are to stupid to see that chatGPT or any other ai softwares won’t get you anywhere. Damn, controversial right? I know, I use it as well, but not for important things. Let me explain… What I noticed back in the day is that when I wrote posts with ai, I got engagement, but not the right one I got comments like ‘’thanks’’ or ‘’love it’’. I don’t give a f about whether or not you love it man, just dm me already haha. Yeah man, that is the whole point of posts in my opinion It is to spread true value from your heart and earn the trust that you deserve so you can get people reaching out to you. And I am going to be honest with you here, I would absolutely love for you to reach out to me, I don’t hide this, because hiding would make people not trust you yk. Yeah man, so I just love to write from my heart and truly give value about things that you can learn from. The key lesson I want you to take from this post is that ai will never be able to replace you as a human, it lacks emotion and the true core value that you want to give to people. So, leverage just writing on your own, better engagement and more people happy because of your value.

I recently was learning OOP in python but i got real difficulty in digesting it became harder for me to do problems even though i thought i knew it i tried to see some videos in youtube but i still no change so i wanted to ask u is there any thing you say to me any thing you think i should do to deepen my understanding of OOP and to help me do problems and projects in a good way Thanks in advance

""" New randomized, controlled trial of students using GPT-4 as a tutor in Nigeria. 6 weeks of after-school AI tutoring = 2 years of typical learning gains, outperforming 80% of other educational interventions. And it helped all students, especially girls who were initially behind """ https://new-savanna.blogspot.com/2025/01/new-study-shows-usefulness-of-gpt-4-as.html

DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that runs locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. https://github.com/confident-ai/deepeval

As i’m a kinda noob to this field, I was wondering what is making python to have less syntax than c++ i found one of the reasons is that in c++ whether what you wanna use standard library or built in library you must include them up at the beginning of the code. But in python you only import standard libraries, you can just use built in libraries like print, len… with out importing them therefore decreasing the lines of codes and making it more simple. I love it that Python makes us focus mainly on solving problems than worrying killing our time on the syntax. and that may also be the reason for it to be widely used in machine learning