Dovetai
gnothi
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Dovetai
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On what side project you guys are working on?
Working on a plaintext-based Minecraft NBT editor PWA, and eventually a world converter/editor API which will allow you to edit the world data in your game saves. Feel free to come try out my editor, Dovetail! https://github.com/Offroaders123/Dovetai
gnothi
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Gnothi: open-source AI journal. Insights & resources include GPT-powered prompt (which uses journal entries as context) behavior analysis, book recommendations, entry summaries, and recurring themes.
Ok, glad someone brought this up. Premium uses GPT to generate summary / themes, and it's pretty much perfect every time. Free uses a version of led-16384 trained on booksum, and can.. well.. struggle. A common mistake it will make is to hallucinate content public-domain book type content, especially if the journal entry itself wasn't "meaty" enough to work with. The solution will be to implement a local large language model https://github.com/ocdevel/gnothi/issues/160, so that free users experience similar benefits to premium, if less precise. In the mean time, I'm going to keep fiddling with the summarization model today/tomorrow to see if I can't get it just a bit less book-ish.
Website, Github. My partner u/mVadr and I just launched Gnothi (v1). We’re both psychology/personal development enthusiasts who work in tech. We started Gnothi to get us journaling more, and to leverage machine learning to optimize the process.
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Gnothi: open-source AI journal. Insights & resources include GPT-powered prompt -which uses entry history as context - behavior analysis, book recommendations, entry summaries, and recurring themes
Website, Github. Insights & resources include GPT-powered prompt (which uses journal entries as context) behavior analysis, book recommendations, entry summaries, and recurring themes.
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Personal GPT: A tiny AI Chatbot that runs fully offline on your iPhone
I created a GPT journal and am now looking into LocalLLM for the privacy-focused. I gave RedPajama-INCITE a spin, and found it soooo bad! I mean.. really bad. I should note this was about 2 months ago? I did see they released a newer version, I'm assuming there was a data-collection / training process they were waiting on. But I'm wondering: is the magic in the fine-tuning? As in, did you find the model useful before you fine-tuned, and the fine-tuning was just a cherry on top? Or did you have to fine-tune to make it work?
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What has been the most groundbreaking benefit of chatgpt so far ?
I built a GPT-based Journal. Not a robo-therapist, but there's so much healing in journaling. This has the benefit of maintaining context (your past entries, based on filters). Website, Github
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On what side project you guys are working on?
AI Journal. Website, Github. Trying to make an ultra power-tool quantified-self platform, coming from Habitica.
- Open source GPT-powered AI journal
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Best approach to local LLMs for a journal?
I built an open source robo-journal Gnothi. Started in 2019 with summarization, recurring themes, book recommendations, behavior tracking. Soon as GPT came along, you bet your butt I integrated.
What are some alternatives?
OnyxAudiobookPlayer - Web based Audiobook player for Plex Media Server.
benotes - An open source self hosted notes and bookmarks taking web app.
shifty - The fastest TypeScript animation engine on the web
evershop - 🛍️ NodeJS E-commerce Platform
notion-auto-pull - Bash script to automatically download a notion workspace
Beatbump - Alternative YouTube Music frontend built with Svelte/SvelteKit 🎧
gpt4all - gpt4all: run open-source LLMs anywhere
daedalOS - Desktop environment in the browser
Stream-Framework - Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:
App - Browse the most popular Boorus with the Rule 34 App.
Open-Instruction-Generalist - Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.