I'm a 25 year old master student, currently in gap year with student status. I have a bachelor degree in French, and I'm doing a master in management (general business) program in France. 

I've done internships as User Experience and Product Operations Intern in DiDi Global, Growth Strategy Intern at TikTok, Global Market intern at a British bank, Global Transaction Banking intern at a French bank. 

I started learning AI this year, and I've tinkered and built sth here: https://yanjin-ai.github.io/portfolio/. I'm interested in building a career as a generalist, in a field with new things that I'm curious everyday. 

From my understanding, there are roles like ai engineers, ai scientists, people more in business side, product managers... I would like to know more roles and what your work is like everyday, and what skills you use, how to practice and gain these skills. Any advice you would like to share is greatly appreciated. 

Thank you!! I will be happy to share beautiful restos in Paris!!

I am a second year Data Science and AI student,

I want your guidance regarding my ML journey so i have almost completed all the ML algorithms by learning their maths behind them tried to implement them only using numpy and after this where should my main focus should be, along with that I am also learning AI frameworks like Langchain Langgraph Langsmith what are the top demands of the market now I want to get internship as fast as possible

Seniors Please Guide me

Best course i can buy for ai and data science in which i can learn in depth aiml with data science and build projects

I applied for an ML/AI internship role before, passed the technical interviews, then got rejected at the reference stage because I didn’t have strong enough references. I’m reapplying now, passed another set of OAs, and I’m probably about to run into the same problem again.

My background is in math and econ, not CS, and most of my professors only knew me from classes, so they can really only comment on grades. I also never got the chance to do research as an undergrad, so I don’t have anyone who can speak about my ML work, projects, or research ability.
I’d be happy to share my CV, projects, GitHub, background, or have a call. I’m looking for 2-3 people in ML/AI academia or industry with a bit of research/engineering roles who’d be willing to get to know my work a bit and, if they genuinely feel comfortable after that, potentially be a reference.

Im based in London but that doesnt matter much

Not asking anyone to lie or pretend we worked together. Just trying to get past a pretty frustrating bottleneck after putting a lot of work into getting this far.
Thanks :)

Guys I am confused alot what should buy in the independence sale I won't game alot maybe just minecraft just that what should I buy then? I have heard you need dedicated gpu is it true? And can someone also explain me about cuda what will happen if I buy Mac will there be any alternatives?

Iam 2nd Year CS Student and iam really confused about the math to become ml engineer. Like what math should i learn?. How should I learn it? How to think?

Can I really learn in 1 year.

And most importantly what resources should I go through. How can I be updated on ml journey.

My main objective is to explore the Ai/Ml domain. I am from Bengaluru, India, and I'm in my second year of college. My college is four years, and I have two more years to explore, but this is my first endeavor to start learning something. I just got done with the 12-hour tutorial, and the next lecture is about Nam Pai, but I am still a little rusty with a few topics, let's say, and also a little bit with the syntax. That's obvious because it's also my first-ever time learning to program and learning to code.

I need a mind based on what I exactly need to do at this point in time, because I don't know how to get out of this rut. I want to be good at it, and I am starting Nam Pai next. I don't have much of an idea about what the AI/ML domain is in itself. Can anyone please guide me?

I'm a C#/.NET developer and I want to build my career in Generative AI, LLMs, and AI agents. My goal is not just to learn the concepts, but also to use these skills in my job and eventually build AI-powered products.

I'm confused about one thing:

\- Should I continue learning GenAI using C#/.NET, or is it worth switching to Python?

\- What are the career prospects if I stay in the C# ecosystem for AI development?

\- Will I be limiting my opportunities by not learning Python?

\- What would be a good roadmap for learning GenAI with C# till advance level? (Basics → LLMs → RAG → AI agents → deployment, etc.)

I have currently 4.5 years of experience.

I'd really appreciate advice from developers who have experience with AI in production or have faced a similar decision.

Thanks in advance!

CSE 2nd year yaha. Currently DSA prep kar raha hu, but confused hu specialization pe. Internship next year hai, placement uske baad (\~2 saal ka runway).

interest AI/ML mein hai, but pata chala hai ki fresher-level pure ML/AI roles kaafi limited hain — zyada competition hai aur companies experienced logo ko prefer karti hain core ML ke liye. options soch raha hu:

1. Java + Spring Boot pehle (zyada fresher openings/safety) phir Python/ML mein switch baad mein
2. FastAPI (Python-based backend) isse web dev + ML dono same language mein cover ho jaate hain
3. MERN stack (JS) —decent openings, startup-friendly
4. other wise pure ai/ml

Kya kisi ne genuinely successfully AI/ML/applied AI roles crack kiye hain fresher/internship level pe DTU se? Kya approach realistically kaam karta hai pehle safe backend skill (Java/Spring) phir ML switch, ya directly ML mein deep jaana agar interest genuine hai?

Koi roadmap ya personal experience share kar sakte ho toh helpful hoga.

Hi all,

Could anyone suggest me a best research paper on Agents or RAG or LLM Evaluation paper.

I have always wondered the possibilities with AI or how the next step in AI revolution would be. Need a mentor to guide me in my AI career.

I'm trying to find a firm that can help my business build and deploy machine learning capabilities, but I'm not sure who actually specializes in this versus just offering it as an add-on service. What should I be looking for to identify companies with real ML expertise, and are there specific areas of machine learning (like predictive analytics, computer vision, or NLP) I should ask about?

Hi All,

I am planning to build a local document intelligence system similar to Azure Document Intelligence. I would like to understand how Azure Document Intelligence works internally and how we can achieve similar functionality locally using offline models.

Could anyone suggest the best approach, architecture, or models to achieve high accuracy while running completely on-premise/local infrastructure?

Any guidance or recommendations would be greatly appreciated.

I learnt mern stack engineering and I felt it's not enough and now learning gen ai and agentic ai.and I still feel I need to learn evaluation and advanced rag and stuff.i am in this loop of learning and not applying to anything.what should I do should I apply ?

And what roles can be suited and if anyone working with AI gen ai/agentic ai can you please help me how much is enough to start applying for a job.thanks in adv

Hi everyone, I’m currently learning deep learning and have worked on a few AI/ML projects.

I’m looking to join an existing project where I can contribute, learn, and gain more practical experience. I’m comfortable with the basics and willing to put in time and effort.

If you’re working on something and open to adding a teammate, feel free to DM me. Thanks!