u/Current-Joke-9837

Helppp where did you all prepare for aptitude and technical rounds for IT ? please share the best sources or platforms you used?

Building a RAG system, where i am using heirarchical chunking followed by recursive splitter for structured documents , documents to be chunked include docx, pdf, md, txt

I cant decide whether the parent should include entire content of its child or it their any other approach to avoid huge chunks
Please help

Currently building a Rag based project where i need to build a pdf extractor which can correctly extract pdfs containig a mix of tables, text, img
So please suggest tools to use which wont break during production
i tried hi_res of unstructured library but it is time consuming

We're hiring an Applied AI / Generative AI Engineer to work on LLM-based applications. This role focuses on building AI products using technologies like LLMs, RAG, AI agents, and Python. Freshers with relevant projects and a strong interest in Applied AI are encouraged to apply.

If you're interested, send me a DM with your resume and GitHub profile. We'll review your profile and get in touch if there's a good fit.

We're hiring an Applied AI / Generative AI Engineer to work on LLM-based applications. This role focuses on building AI products using technologies like LLMs, RAG, AI agents, and Python. Freshers with relevant projects and a strong interest in Applied AI are encouraged to apply.

If you're interested, send me a DM with your resume and GitHub profile. We'll review your profile and get in touch if there's a good fit.

We're hiring an Applied AI / Generative AI Engineer to work on LLM-based applications. This role focuses on building AI products using technologies like LLMs, RAG, AI agents, and Python. Freshers with relevant projects and a strong interest in Applied AI are encouraged to apply.

If you're interested, send me a DM with your resume and GitHub profile. We'll review your profile and get in touch if there's a good fit.

We're hiring an Applied AI / Generative AI Engineer to work on LLM-based applications. This role focuses on building AI products using technologies like LLMs, RAG, AI agents, and Python. Freshers with relevant projects and a strong interest in Applied AI are encouraged to apply.

If you're interested, send me a DM with your resume and GitHub profile. We'll review your profile and get in touch if there's a good fit.

Help me find brands who have best baggy fit jeans

I have started Pytorch for DL but my ultimate goal is to learn GenAi but Understanding DL concepts and code has been a headache , Hoping GenAi is easy
Are GenAi concepts and code less difficult than DL Plssss Let me know
Also do i have to master entire of DL ??

Hey everyone,
I’m currently looking for an internship opportunity in the AI/ML and Data Science domain. I’m an IT Engineering student who enjoys building real-world projects and learning by doing.

Some projects I’ve worked on include:
Deepfake Detection System
Credit Card Fraud Detection
Music Recommendation System

I’ve been learning and working with Python, Machine Learning, Flask, MongoDB, and basic web development. I’m someone who learns fast, stays consistent, and genuinely enjoys solving problems through technology.

I may not know everything yet, but I’m always ready to put in the work, adapt quickly, and contribute to the team. Looking for opportunities where I can grow, gain industry experience, and add value.

If anyone knows about openings, referrals, or internship opportunities, please let me know.
Thank you!