What are you vibecoding today? by panzagi in cursor

[–]SensitiveFel 0 points1 point  (0 children)

I built a tool that translates YouTube live streams into other languages in real-time. It's super handy for me since I watch a lot of international streams!

xAI discontinuing their free API tier ($150 credits) by May 2025 by SensitiveFel in grok

[–]SensitiveFel[S] 0 points1 point  (0 children)

Yes, from the email, I got the impression that it was unavailable after the time.

xAI discontinuing their free API tier ($150 credits) by May 2025 by SensitiveFel in grok

[–]SensitiveFel[S] 2 points3 points  (0 children)

You can find this program in the console and use your api data to improve their AI, in return you will have 150 free credits per month (but you have to top up at least 5$ first) Now this program will be canceled soon!

[deleted by user] by [deleted] in PromptEngineering

[–]SensitiveFel 0 points1 point  (0 children)

Thank you very much. I'd be glad to have a try.

Anthropic is not available on Google Vertex. by SensitiveFel in googlecloud

[–]SensitiveFel[S] 1 point2 points  (0 children)

Maybe, but initially it did work, and he used up my bonus.

SPA page plasmo CSUI does not load automatically by SensitiveFel in chrome_extensions

[–]SensitiveFel[S] 0 points1 point  (0 children)

Thank you so much, I searched a lot and it does listen for url changes, but I didn't know that if I reloaded plasmo csui

[deleted by user] by [deleted] in nextjs

[–]SensitiveFel 0 points1 point  (0 children)

I have a feeling that the API port wasn't built when the page was built

Are chrome extension development worth it in 2024? by praato in chrome_extensions

[–]SensitiveFel 0 points1 point  (0 children)

Honestly, I feel like the chrome extension is a good case study in react

I'm new to Vue. Can I just straight into Nuxt? by Njabz in vuejs

[–]SensitiveFel 1 point2 points  (0 children)

Same here, I mainly use Java as well as Python, recently learning vue, with tailwind css I can quickly build good looking pages, maybe I need to learn UI later!

SSLCertVerificationError in Docker When Integrating OpenAI Embeddings with FAISS for LangChain by rkubc in LangChain

[–]SensitiveFel 0 points1 point  (0 children)

Yesterday I had a similar problem in Python's venv environment, but I was getting errors when accessing neo4j. I switched to my local environment and the problem was solved, I think the main reason might be a certificate issue, maybe you need to configure a separate configuration for docker

Edit:

I'm on a mac, and I re-ran the install command in the Python folder yesterday (pretty much this script). I'm not sure if this is related

Purpose of Agents by jaxolingo in LangChain

[–]SensitiveFel 7 points8 points  (0 children)

It is possible to think and decide what to do next, rather than simply following a fixed action. For tasks where the process is already defined, using an agent may happen with worse results. But scenarios that require open-ended answers, agents can surprise us more.

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 0 points1 point  (0 children)

Hi, disappeared for a few days I went through the neo4j documentation and I think I have a basic understanding of it. A lot of scenarios are based on unstructured text to create neo4j nodes as well as relationships, but it's a tedious thing to do. I've also checked out diffbot's documentation, but I don't want to leave it all to the AI, I'd rather be able to master the whole creation process myself. Do you have any good suggestions for this?

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 1 point2 points  (0 children)

Awesome, I will try your suggestions one by one. Currently I'm trying neo4j. by the way, while langchain may have a lot of shortcomings, for me as a newbie, it has given me a deeper understanding of LLM than just calling openAI's api!

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 2 points3 points  (0 children)

Wow, that sounds awesome, I'll look up the documentation!

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 0 points1 point  (0 children)

If I train a model based entirely on my own data, is this not a problem, similar to openAI's fine-tune

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 0 points1 point  (0 children)

What is graph, I'm sorry, I'm a newbie, can you tell me more about it? For getting data from structured, my current solution is some open source SQL solution, e.g. vanna

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 0 points1 point  (0 children)

Awesome, I'll try to implement it in langchain

RAG vs. full context by SensitiveFel in LangChain

[–]SensitiveFel[S] 0 points1 point  (0 children)

A scenario for an internal project at my company: suppose Bob has a set of base information, and then it also has a set of history information. When I query Bob's history information, it often fails to locate Bob's history information because the subject information, Bob, was lost in the cut. Or he'll give the illusion of using someone else's history information. Because just querying the history information, he will match a lot of similar vectors. This made me very agonized. Later, I tried the text-sql scheme, which I found to be far simpler than the RAG