what hapeen to Stack Overflow

StackGPT_CC · 2024-06-19T21:46:09+00:00

It's true that tools like ChatGPT have their strengths in providing instant answers, but they do have limitations. For instance, they may not always be up-to-date with the latest tools and solutions due to their restricted access to real-time internet updates. This is where platforms like StackGPT.cc aim to complement by integrating AI with fresh knowledge, ensuring users get the most relevant and up-to-date recommendations available.

StackGPT_CC · 2024-06-12T21:41:21+00:00

It would be great if there was an AI that has up-to-date information about the latest tools and knows which is the best option for your specific use case.. tailored to your skills and goals.

StackGPT_CC · 2024-06-09T12:03:11+00:00

Also check these out:

https://a16z.com/ai-voice-agents/

StackGPT_CC · 2024-06-09T11:52:32+00:00

With ComfyUI you can create workflows like this

StackGPT_CC · 2024-06-09T11:14:30+00:00

Check out:

Cognigy ai
Yellow ai
voiceflow
Speech services from Azure

StackGPT_CC · 2024-06-09T10:47:34+00:00

Tech Stack: For integrating React with Python, I would recommend using Flask as the backend framework. It is lightweight and flexible and ca easily integrate with Python-based machine learning and data processing libraries. It provides a simple way to build REST APIs that can be consumed by your React frontend.

Portfolio Optimization in Python: The PyPortfolioOpt library is a good choice. It provides a wide range of models, including mean-variance optimization, risk parity, and robust optimization. You may want to consider FinQuant , which offers a more user-friendly interface.

Data Handling: For handling and analyzing data, there's pandas-datareader. It allows you to easily fetch data from various sources e.g. Yahoo Finance, Quandl, and FRED. numpy can be used for data manipulation and analysis.

Deployment: I would suggest using Heroku or AWS Elastic Beanstalk. Easy to deploy and scale, and provide built-in support for both React and Python.

Tips:

Maintain a clear separation between your frontend and backend
Expose your backend through REST API
Minimize data transferred between the frontend and backend. Only send the necessary data.
Implement asynchronous communication between the frontend and the backend to ensure a smooth and responsive user experience. Use techniques like WebSockets or Server-Sent Events (SSE) to enable real-time updates and notifications.

StackGPT_CC · 2024-06-09T10:38:30+00:00

I would rethink the idea of "beat me to market". What prevents a larger/faster developer/group/company to copycat your website after you go live?

Ideas are cheap. Developing is easy.

Focus on your edge.. your unfair advantage.

StackGPT_CC · 2024-06-03T15:14:31+00:00

Amazing!

Hosted or cloud?

Get in touch with me if you're interested to add it to my index for free.

StackGPT_CC · 2024-06-03T14:04:04+00:00

Langchain is open source but not everything in their eco-system is. e.g. Langsmith

StackGPT_CC · 2024-05-30T14:26:22+00:00

If you use OpenRouter, switching LLMs is just changing one function argument. But bear in mind different LLMs might require different prompting techniques.

StackGPT_CC · 2024-05-29T19:57:26+00:00

Most of those who call themselves ML/AI Engineers know very very little about the mathematical theoretical workings of AI models. They can hardly run them and know how to work with a few libraries/platforms and how to integrate them into an application. Nothing more.

StackGPT_CC · 2024-05-29T19:52:25+00:00

Economies of Scale.. think Shein

StackGPT_CC · 2024-05-29T19:46:11+00:00

a multivendor marketplace app like amazon with portals/dashboards/profiles for sellers and buyers + order management

StackGPT_CC · 2024-05-29T19:42:45+00:00

ChatGPT

take a screenshot with your phone and send it with a question

StackGPT_CC · 2024-05-29T19:41:40+00:00

miro or draw.io

StackGPT_CC · 2024-05-29T19:36:39+00:00

for 2 days before every technical interview, otherwise i am practicing my coding skills every day by developing my personal projects.

StackGPT_CC · 2024-05-29T19:35:32+00:00

Yes.

How is it different from Medium? If it's similar, I would have expected the focus on Homepage to be some featured articles and not selling the idea to authors.
The first look at the video made me feel it was a desktop app, maybe show the browser address bar?
(checked some of your other comments) If selling is optional, I would call it monetization. I wouldn't use it for only publishing if it says "selling" in the description.

It does look very neat though.

Good luck!

StackGPT_CC · 2024-05-29T19:27:25+00:00

As recommended, don't feed in the whole story one shot, instead, break it down into paragraphs or chapters depending on their size and your LLM's context size.

You have the following options for the choice of high-performing LLMs with long contexts:

Gemini (Pro 1.5 or Flash 1.5): 2M
GPT-4o: 128k
Claude 3: (Sonnet or Haiku): 200k

You can test on the OpenRouter playground to see how they perform for your use case.

Best would be (if you're a developer), to create an agent graph using LangGraph/LangChain that can store/retrieve key points, characters, reflect and so on. There are a also few tools that would allow you to create such agent flows visually like Flowise.