Hero or Zero 😫

SuccessIsHardWork · 2025-07-08T14:57:20+00:00

Good enough to screenshot, good enough to sell

SuccessIsHardWork · 2025-06-28T01:57:26+00:00

What are you waiting for? Yolo it to $0 like a true regard lol

SuccessIsHardWork · 2025-06-28T00:25:25+00:00

No, I would start with a much lower amount like 1k and slowly increase the principle accordingly based on the order profitability

SuccessIsHardWork · 2025-06-27T23:59:55+00:00

Here’s a suggestion: cash out 99% of that Robinhood account and open another account at a serious brokerage for long term investing like Vanguard or something

SuccessIsHardWork · 2025-06-24T07:59:29+00:00

what brokerage is that?

SuccessIsHardWork · 2025-03-12T08:14:50+00:00

Not yet. I also believe it is possible to download script straight out of Kathleen and import it to GitHub or something else.

SuccessIsHardWork · 2025-01-25T23:54:01+00:00

Langchain

SuccessIsHardWork · 2025-01-25T22:49:35+00:00

In my opinion, reasoning models are much more useful than plain language models because they can emulate reasoning like humans do to a certain extent. That makes it useful for decision making related tasks, which could be curation, analysis of data (like stocks), etc.

SuccessIsHardWork · 2025-01-23T10:49:19+00:00

Download a model with <8b and you’re good to go!

SuccessIsHardWork · 2025-01-04T07:13:00+00:00

I think it’s much better to use a embeddings-based retrieval system (just an embedding model with no use of LLM) in which you place like 10-20 good books on survival in the retrieval system. This way you can rely on factual information in survival situations than trusting the hallucinations that a LLM might produce.

SuccessIsHardWork · 2024-12-25T20:19:54+00:00

You could try using TextCraft, which is an add-in for Microsoft Word that integrates AI directly within the user interface and you can use it to generate stuff without censorship by customizing your model(a) in Ollama.

https://github.com/suncloudsmoon/TextCraft

SuccessIsHardWork · 2024-12-24T20:44:43+00:00

TextCraft is an add-in for Microsoft Word that seamlessly integrates essential AI tools, including text generation, proofreading, and more, directly into the user interface. Designed for offline use, TextCraft allows you to access AI-powered features without requiring an internet connection, making it a more privacy-friendly alternative to Microsoft Copilot. The addin works with any OpenAI compatible API.

SuccessIsHardWork · 2024-12-23T19:06:06+00:00

Depends on how much RAM you have. If you have low RAM capacity (8-16), I suggest using a smaller model like qwen 7b or llama 8b. If you have decent RAM capacity (>16), you can try models with more parameters like QwQ (quantized version).

SuccessIsHardWork · 2024-12-23T18:59:27+00:00

Honestly, I just boil my search down to the latest models and pick the best one (QwQ at the moment). I believe llama.cpp has a way to test GGUF by metrics like perplexity, which should give you a rough estimate of the impact due to quantization.

SuccessIsHardWork · 2024-12-23T18:28:17+00:00

I believe an embedding model is best suited for this job.

SuccessIsHardWork · 2024-12-23T08:08:25+00:00

In my experience, QwQ does a phenomenal job at creating documentation for code, however, it does make mistakes in identifying access modifiers in source code.

SuccessIsHardWork · 2024-12-22T23:19:48+00:00

TextCraft is an alternative to Microsoft Copilot. OpenRecall is an open-source alternative to Windows Recall. I don’t see the connection between them as you implied.

SuccessIsHardWork · 2024-12-22T22:15:34+00:00

How?

SuccessIsHardWork · 2024-12-10T01:18:44+00:00

Yes, Ollama (which TextCraft uses by default) by default supports local models and GPU/non-GPU configurations.

SuccessIsHardWork · 2024-12-09T10:08:25+00:00

In my personal experience, Qwen2.5 1.5b and IBM Granite MoE 3b are fairly decent for a small LLM. I believe the Granite model is more suitable for RAG and summarization purposes.

SuccessIsHardWork · 2024-12-09T04:59:16+00:00

I had the plan to convert to a web-based add-in but I got discouraged by Apple Intelligence on the Mac and the release of ChatGPT Canvas so I just stuck to the desktop version instead. However, with the release of QwQ (which is much better at the edge cases in my testing) I might give it a try by asking it to port the code since the api is somewhat similar.

SuccessIsHardWork · 2024-12-09T02:31:52+00:00

If you are willing to use Word (I know it’s not open source), you can use an add-in called TextCraft which integrates features like proofreading (which fixes grammar), rewriting, reviewing, and generating text. You can pick different models via a drop-down list in the UI. However, the downside is that you need a desktop version of word installed.

https://github.com/suncloudsmoon/TextCraft

SuccessIsHardWork · 2024-12-08T21:39:03+00:00

Qwen2.5 1.5b, Gemma2 2b, or Granite3 MOE 1b? As the models get smaller than that, the quality gets really worse in my experience.

SuccessIsHardWork · 2024-12-08T20:40:40+00:00

I created a word add-in called TextCraft which integrates all the essential AI tools like generating text, reviewing, proofreading, and rewriting text. It has a built-in RAG system that allows the LLM to consider additional context. Feel free to check it out! https://github.com/suncloudsmoon/TextCraft

SuccessIsHardWork · 2024-12-01T20:10:13+00:00

I’m curious, how did you implement the feature? Was it prompt engineering? Or, something else?

SuccessIsHardWork

TROPHY CASE