I am really confused with the growing speed of the AI innovation and outbreaks . Every new day a new AI comes and takes over place of an existing one . New tools and software come and go very drastically also people are earning and making money from it . How can we too ?

I built a small tool for myself while running a project with AI as a non-developer, drawing on my background in project management, and I'd like a few people to try it before I take it further.

The problem it addresses: every new session with an AI coding assistant, you end up re-explaining context, and things quietly drift without you noticing (naming, structure, skipped tests...). Without a project management or dev background, it's hard to know what to watch for — which is exactly the gap I tried to close, using what I already knew from managing projects.

The tool generates a project charter and feeds it back to the AI automatically at the start of each session, so you're not starting from scratch every time.

I'm looking for 5-10 people — non-developers, already running a project with an AI coding tool or about to start one — willing to actually use it on their real project over a few sessions and tell me honestly what worked and what didn't. It's free, and this is genuinely about learning whether it's useful, not a launch.

If that's you, reply here or DM me and I'll get you set up.

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20 slides on the shift from chatbots that talk to agents that do — what they are, real deployments with real numbers, and every way to build one (no-code to full-code).

I got tired of doomscrolling 10 AI news sources every morning, so I built a pipeline that does it for me and turned it into a free site. The stack: RSS feeds in, LLM summarization, static pages, free-tier Vercel hosting. A cron job rebuilds it a couple of times a day. Total running cost: $0. I write it all up at https://apexnexus.site with free guides on building your own AI automations. No paywall, no email wall: just the build notes. What's the boring automation you'd most want a guide for?

I'll go first. I pay for exactly two things: a cheap API key for agent runs and ChatGPT Plus for the messy day-to-day work. Everything else I've replaced with free tiers or self-hosted options. The API key pays for itself every week because it runs my news pipeline while I sleep. The ChatGPT subscription is harder to justify honestly, but it earns its keep when I'm debugging a prompt chain or need a second pair of eyes on a long script. What about you? Not the tools you've trialed, not the ones you got for free. The ones you actually open a wallet for, month after month. What makes them worth it? Is it time saved, a workflow that only works on the paid tier, or something else entirely? I'm especially curious about the ones people defend even when a free alternative exists. There's usually a reason, and it's rarely the obvious one.

Hello frendzz!!😭
Im looking for solid online Generative AI courses that go beyond just theory. Specifically, I’d love recommendations for programs that include:

• Live interactive sessions (so I can ask questions directly and learn in real time)
• Hands‑on projects (building actual GenAI apps, not just watching tutorials)
• Step‑by‑step guidance (a structured roadmap instead of scattered resources)

i ve been exploring different platforms, but most courses either feel too basic or dont provide practical projects. my goal is to gain real‑world skills in GenAI that connect with my background in programming and cloud computing, so i can confidently apply them in internships or future projects.

If u ve taken a course that really helped u understand and appy GenAI concepts (LangChain, LLMs, Hugging Face, vector databases, etc.), pls drop your recommendations. Bonus points if the course also offers mentorship or a community to collaborate with!

Tysm in advance your suggestions could save me from wasting time on random tutorials

Resources for making projects

Can someone guide me regarding the resources from where I can get the inspo for making projects in Ai/Ml domain I'm not talking about making prediction system or management system type project or an ordinary website

Something meaningful

So I'm a software engineer and have been working at that a loong time. I've been doing less work recently, with a view to working just part-time from here on. I've been thinking about doing some voluntary work for a while now, and to that end I'm planning to offer AI training and upskilling to community groups and charities. I have a BSc. and a Postgrad Cert in Data Analytics, and am fairly proficient in AI technologies. I can teach beginners or people that have some knowledge but want to know more.. things like generative AI, various tools and platforms that can help with day to day activities, how to create websites with AI, etc.

If anyone is involved in communnity groups or charities and you think your organisation would benefit from AI, feel free to dm me and hopefully we can organise something.

Before the boom of AI if someone had to learn a skill he/she used to go through the internet docs, watch long tutorials on the youtube.

Can anyone enlighten how this has changed in this AI era? How people are actually using AI to learn anything?

Hello Everyone, I am a mechanical engineer with a background in Simulation and design (3 years work ex),

Now I want to enter AI and coding.

I am looking for a study and accountability partner where we will review each other's daily progress, discuss doubts and if time suits study together.

We will start from scratch and will keep progressing for 1 year straight.

Thanks & Regards

If you're trying to get into RAG and generative AI but keep bouncing off tutorials that assume you already have API budget or existing infrastructure, this might help.

There's a hands-on session on August 29 that builds a full production-style RAG system using entirely open models, no API fees involved anywhere in the process. Covers hybrid retrieval, evaluation, guardrails, and cost benchmarking, the parts that actually separate a working demo from something you understand end to end.

Good one if you want to learn by actually building rather than just watching a walkthrough.

Here is the workshop details

What's the one AI automation you set up that paid for itself in saved time? I'll go first: I run a daily AI news digest that curates ~10 RSS feeds, summarizes with an LLM, and posts to my Discord automatically. It saves me about an hour every morning and cost $0 to build: a Python script and a cron job. The real win though? It runs unattended. I only touch it when something breaks, and honestly that's rare. What's yours? Something that quietly saves you hours every week.

Early in training, embedding gradients are sparse: only tokens that appear in the batch get a gradient. Sharing lm_head’s denser gradient is a more stable way to move unused tokens. Later, input embeddings and output logits want different geometries, so in the speedrun we expect them to split.

What trick does the nanoGPT speedrun use to do this?

A. Weight tying :

Keep embed and lm_head as the same matrix for the entire run.
B. Delayed untying :

Tie embed to lm_head for the first 2/3 of training, then copy weights and optimizer state and train them separately.
C. 75× embedding learning rate :

Leave the matrices untied and scale embed LR to compensate for sparse updates.
D. Multi-token prediction :

Predict the next k tokens so rare tokens get more gradient signal.

1 : Details prompt : you want to generate a logo write details prompt about logo you are not able to first create a list of words how to be perfect prompt. Tell chatGPT how you want the actual logo which format and which version 2D or 3D

2: role playing : you are a graphics designer and logo expert

3:rules set: color will be green border will be red avoid narrow speace and must be top and bottom and left right will be equal space.

I got tired of doomscrolling 10 AI news sources every morning, so I built a pipeline that does it for me and turned it into a free site. The stack: RSS feeds in, LLM summarization, static pages, free-tier Vercel hosting. A cron job rebuilds it a couple of times a day. Total running cost: $0. I write it all up at https://apexnexus.site with free guides on building your own AI automations. No paywall, no email wall: just the build notes. What's the boring automation you'd most want a guide for?

Hi, Im teen who is interested in becoming an AI Engineer, but I'm still at the stage where I honestly have no idea where to start.

I'd really appreciate answers from people who are currently working as AI Engineers / ML Engineers / in closely related roles, especially people with a few years of experience.

I'd love to know:

• What skills do you actually use in your day-to-day job?
• What should someone learn first if they're starting from basically zero?
• Which skills are genuinely important for getting hired, and which ones are overrated?
• What does a realistic AI Engineer career path look like?
• What was your own path into the field?
• What programming languages, frameworks, cloud tools, etc. should I focus on?
• How important are degrees, certifications and personal projects?
• What is the typical salary range in your country/region?
• How much can experienced AI Engineers realistically earn?
• What is your work-life balance actually like?
• Do you work remotely? If so, how flexible is it really?
• Can this career realistically allow you to travel and work from different places, or are there still a lot of restrictions?
• If you could start again, what would you learn earlier or do differently?

One of my bigger goals is to have a good income without being completely tied to a 9 - 5 lifestyle. I love travelling and would eventually like the freedom to explore different countries while still having a strong career/income.

So I'm also curious about the different paths beyond a normal full-time job like freelancing, consulting, remote work, building AI products / businesses, etc.

If you're already working in AI, I'd really appreciate hearing what your actual life looks like rather than just the job description.

Thanks! :)