GPT playground / RAG specific UIs are the next big thing 🤣🤣🤣

VC Insight 😂

VC Insight 😂- Grapevine

Welcome to Software Engineers's Private Community

Every front end developers should try GPT Vision (released 4 days ago) to create full landing site directly from figma screenshots

Software Engineer

Welcome to Indian Startups's Private Community

Was looking for automation solutions for my startup, came across an early stage AI startup that had 3-4 meetings with us and showed us screenshots of their product, but delayed product demo and signup.

Few days later said they're shutting down because they couldn't raise funds and had no MVP ready to use. But they didn't tell us that earlier, all they said was "we are in early stages, still working on product, need info from you"etc.

While their vision seemed good enough, not having an MVP while pitching for clients is weird and a waste of time tbh. No one will know or learn anything unless they try using an actual product, including themselves. And it isn't hard to build one either, i think I have the gist of it and might already be in production by other startups in this space. Decent low hanging fruit in SaaS with good long term potential.

Doing things that don't scale doesn't mean you don't put in the required amount of work before approaching clients. Don't want to name them, they probably learned as much by now.

Got pitched by a startup with no MVP 😂

Product Owner

Hey fellow comers, just showing my progress. I will launch by next month hopefully.

I've completed my work for:

1.	⁠Streaming text
2.	⁠Formatted responses
3.	⁠Citations and websites

Currently, I'm working on finishing:

1.	⁠Chat history
2.	⁠Documents library
3.	⁠LLM settings

I'm using the Vercel AI SDK, Next.js, Firebase, and Bing to ensure setting up and running the project is as straightforward as possible. I hope to support more LLMs, like Claude, Mistral, and Gemini, to offer a mix-and-match approach.

Although I've accomplished a lot, there are still a few more weeks of work ahead. Unfortunately, I've failed to raise any funds for my project and am fully dependent on the open-source community for support.

Note: VCs told me I can't build perplexity so simply because I don't have that much skills or high enough pedigree. They are literally blinded by the fact that any average dev can also build such an app.

This is a small demo of my app that I am working on called Omniplex. Hope you all love it. Will try to launch as soon as possible.Music used in video: https:...

Open-source Alternative to Perplexity: Omniplex Demo

Update: open-source PerplexityAI

Founder

One of my friends recently started learning programming(ofc Data science) and he asked me a few questions about creating good projects for his resume. While having this conversation, we were talking about how to effectively debug the code. I asked him to check for solutions from the stack overflow, and instead he asked me,

“What’s Stack Overflow?”

Then I asked him how would he resolve the errors when he run into them and he said

“ChatGPT”💀

Post ChatGPT programmers era🤖

My fellow engineers this chatgpt may not replace but it will surely reduce no of Software engineer.

A project deadline was missed and project manager called team(10people) and infront of them he completed the project not alone but taking help of chatgpt and 4 of 10.
"So u see 6 can be replaced anyday" he told .

Your bro being intern was just mute spectator but inside fati to mere bhi thi.
So guys use chatgpt otherwise someone will replace u by using chatgpt

Chatgpt

Analyst

Welcome to News Discussion's Private Community

It could be for your work-related solutions or other stuff. It would be great to see how different people are using it.

I can start already, I have started using it to generate the product feature launch posts that I put across to inform the customers, but it is at a "fun" level.

Have you started using Chat GPT?

Product Manager

Welcome to Data Scientists's Private Community

For me? It was GradCAM was a gamechanger at selling computer vision initiatives internally to the non-technical stakeholders. 

The gradCAM function computes the importance map by taking the derivative of the reduction layer output for a given class with respect to a convolutional feature map. If you have a 5 layered convolutional neural network, then you can use this against any layer and check the class activation map.

The best explanation to give is:
"Regions in Red are the areas of the image that the neural network is looking at to make a decision"

Well to be honest, regions in red represent the class activations arising from that region but, it would be too much for normie business guys.

As someone in AI, which concept blew your mind away when you first learnt about it?

Robotics engineer

One more section of AI startups are gonna be vaporized today :p

Speculations on what may happen? Feels like something big that will be announced.

Corporate strategy

Much better UX & UI now 👏👏
Crisp & On point.

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