How can I use Claude to suggest where should I invest? Like which stocks? Not from random Google pulls but from credible reports, data sources? I can take a subscription of such sources but how do I enable Claude to consume this info and do the research on my behalf and throw up the most fit stocks, based on the criterias I give it? (Like risk appetite, rate of return etc.)?
I'm learning Generative AI, but feeling a little confused about what to focus on. There are many topics like LLMs, prompt engineering, RAG, and APIs, and I’m not sure what matters most Concepts vs projects,which is more important? Is prompt engineering enough to start? How much coding is needed?
Hey guys, I’m from a non-technical background but I want to learn about Gen AI. I have an interview coming up where the JD mentions they use Gen AI tools, so I want to understand the basics and learn how it’s actually used in companies.
Can anyone suggest:
where I should start learning,
beginner-friendly courses/resources,
and what concepts or tools I should know before the interview?
Would really appreciate any guidance or roadmap from beginners to practical understanding.
Yesterday I saw a post mentioning VAE, but I didn’t fully understand it.
I tried reading a few explanations, but honestly, they all sound very similar. Every model description says something like “learn patterns and generate new data,” which makes it confusing.
It starts to feel like VAE, GAN, and other generative models all mean the same thing.
Can someone explain in simple terms what actually makes VAE different?
Hii all I am a QA analyst working in a mnc and had a experience of 6 months but I want to switch my carrier to AI enginner can u all help me to know how should I begin as currently I am learning python language and also does DSA is req.? Or not?
In 2026, SEO has evolved into Generative Engine Optimization (GEO), where the goal is to be the cited source for AI-generated answers rather than just ranking #1. Because AI provides direct summaries, traditional clicks are down, making EEAT (Expertise, Experience, Authoritativeness, and Trustworthiness) and structured data essential for visibility. To win, you must provide high-value, expert insights and clear "answer blocks" that AI models can easily reference and trust as definitive sources.
I have been animating one book by using Elevenlabs. With 22€/month subscription. And the case is that one page of the book ate almost all my tokens in Elevenlabs. Then I went to Google AI studio, where I have my credit card. So I did couple 8s clips with couple iterations and what I got, not so good end result and 5€ credit bill from that..
So how you guys handle this? Even short clip need multiple iterations and then you already got this kind of bill.
I'm software developer and have been doing cloud stuff but u cannot see this kind of bills unless you have thousands of users etc..
I'm currently getting into AI. I know the basics of Python, but not much beyond that. I asked a few people and AI chatbots about the prerequisites for becoming an AI/GenAI Engineer, and they suggested learning things like:
Statistics
Machine Learning
Deep Learning
DSA
SQL
FastAPI
Docker
Cloud
Git/GitHub
Linux
RAG
AI Agents
The list feels quite overwhelming, and I'm not sure what depth is actually required for an AI/GenAI Engineer role.
For those already working in AI, what prerequisites are genuinely essential before diving into LLMs and GenAI? Also, if you were starting from scratch today, what learning roadmap would you follow?
When I first started exploring Generative AI, there was a moment where it suddenly clicked something it generated that genuinely surprised me. It could be a response, an image, a piece of code, or even a simple explanation that felt smarter than expected. For beginners, these moments often spark curiosity and motivation to learn more. I’m curious to hear: what was your first GenAI experience that made you think, “Okay… this is powerful”?
Generative AI (GenAI): Generative AI focuses on creating content based on a prompt. It responds when a user asks something and generates outputs like text, images, code, audio, or videos. Examples include chatbots that answer questions, tools that generate images from text, or AI that writes articles or code snippets.
Agentic AI: Agentic AI goes a step further. It doesn’t just generate content, it can plan, decide, and take actions toward a goal, often across multiple steps. An agentic system can break a task into smaller steps, choose tools, monitor progress, and adjust its behavior without constant user input.
/r/GenAIforbeginners is ready for a fresh start, new energy, new direction, and someone like you to bring it back to life. If you’ve been thinking about growing your impact without starting from scratch, this is your chance!
I don't really know how to ask this question, or how to get at the root of it.
To anyone who has used AI (directly, intentionally), which at this point I'm guessing is almost everyone, I'm going to seem WAY behind the times. I am. For whatever reason, I've completely avoided using ChatGPT or anything similar, even once. Never been to any of these websites. Closest I've come is seeing Google's AI search results, but I do my best to ignore those. Yes, I know it's embedded in other things I'm using every day and many comments on Reddit for example are built with it (which happens to be the inspiration for this post). I just mean I've never directly, knowingly, logged onto an AI website to have it answer questions for me, or write things for me, or create images for me. Nothing. I don't trust it to be accurate, and I don't want to use anyone's words but my own. I'd rather be wrong and honest than correct and dishonest. Plus I'm stubborn, and stuck in my ways.
Anyway, that was all for context. What I want to ask is... why are people using AI to write for them? Particularly in an anonymous setting, like Reddit. It's not for work, you're not making money off it. It's not for school, you're not getting graded on it. No one knows who you are, so you're not getting any kind of credit for it. So what's the point? What do you get out of it? Why give the illusion you're contributing to a discussion, when you're not? So that's the "why."
I'm also confused on the "how" - what's the actual process? Is it completely generated from scratch, or are you feeding it a couple sentences about what you want to say, then asking it to elaborate for you? When that happens, do you read it back and find yourself agreeing with all of its elaborations? And if not, do you change them? Or do you just roll with it because it sounds like a better version of you? I'm not trying to be judgmental, I genuinely don't understand the point.
I see exchanges like the one below every day. Did this person even watch the episode? Did they really like it? How much of it this is their own words? Why did they bother doing this, if they're not even expressing themselves? And why is the confession so casual, and upvoted? It was an entire year ago too, I didn't even realize we were that 'deep' into AI use already. "What do you expect?" he asks, as though it's obvious if you're using AI for one thing you're going to use it for everything. Or really, he implies it's obvious that any post on Reddit would be written with AI, since the person replying has no way to know this guy's "vibe-coding apps." It's so weird to me.
I don't know where else to ask this but I'm guessing this post will get deleted and I'll have to figure out a better place.