chatcraft.org VS uniteai

My https://chatcraft.org offers free models and is open source. They start throttling under heavier usage tho.

Gonna add some free models with search in future

This week, I came across an interesting problem while working on an issue in ChatCraft.

This has been a true privilege working on a cool project with a great team, and under an exceptional mentor.

Finally, Its the last week of semester and we had our last class of Open Source Development Project with David Humphrey. I would like to thank David for being my professor and mentor. I've taken 30 courses in Seneca and I would like to say that the three courses by David Humphrey were the one in which I learnt the most, i.e two open source courses which enhanced my github profile, gained confidence in git skills. Also before the courses ,I always wanted to contribute in Open Source but had no idea where to start from. I would also like to thank Taras Glek for giving me an opportunity to work on ChatCraft.org. Working on ChatCraft has been the biggest project I've ever worked on till date.

This week we met with Taras, the founder of ChatCraft online to showcase our contributions and get some professional advice from him. It was very rewarding to see what we managed to get done in the span of four months with our small team of six!

This semester has been a whirlwind of coding, collaboration, and learning as I dove headfirst into the world of open source development with ChatCraft. My journey was marked by significant contributions, including 14 pull requests (PRs), the development of 4 major features, and the squashing of numerous bugs. Here's a closer look at what I've accomplished and the invaluable lessons I've learned along the way.

PR 580 Merged

That's right. The BIG 2.0 release for ChatCraft is scheduled by the end of next week. We have been working to build on ChatCraft's existing functionality in its v1.0 state for almost 13 weeks now, and have successfully added lots of cool features (even this post's cover photo is generated by ChatCraft).

This week on ChatCraft, I fixed a few bugs I found in production that have arisen since the new custom provider feature was implemented. I was able to find these bugs because I reviewed many PRs this week and during testing those PRs I was able to see some abnormal behaviour.

ChatCraft Release 1.9 is available here

I recently went through the same with UniteAI, and had to swap ctransformers back out for llama.cpp

I maintain the uniteai project, and have implemented a custom backend for serving transformers-compatible LLMs. (That file's actually a great ultra-light-weight server if transformers satisfies your needs; one clean file).

UniteAI brings together speech recognition and document / code search. The major difference is your UI is your preferred text editor.

https://github.com/freckletonj/uniteai

In answer to the same question I built UniteAI https://github.com/freckletonj/uniteai

It's local first, and ties many different AIs into one text editor, any arbitrary text editor in fact.

It does speech recognition, which isn't useful for writing code, but is useful for generating natural language LLM prompts and comments.

It does CodeLlama (and any HuggingFace-based language model)

It does ChatGPT

It does Retrieval Augmented Gen, which is where you have a query that searches through eg PDFs, Youtube transcripts, code bases, HTML, local or online files, Arxiv papers, etc. It then surfaces passages relevant to your query, that you can then further use in conjunction with an LLM.

I don't know how mainstream LLM-powered software looks, but for devs, I love this format of tying in the best models as they're released into one central repo where they can all play off each others' strengths.

I'm working on UniteAI, a project to tie different AI capabilities into the editor, and it has a clean LSP Server.

*TL;DR*: chat with AI, code with AI, speak to AI (voice-to-text + vice versa), have AI search huge corpora or websites for you, all via an interface of collaborating on a text doc together in the editor you use now.

*Motivation*

I find the last year of AI incredibly heartening. Researchers are still regularly releasing SoTA models in disparate domains. Meta is releasing powerful Llama under generous provisions (As is the UAE with Falcon?!). And the Open Source community has shown a tidal wave of interest and effort into building things out of these tools (112k repos on GH mentioning ML!).

Facing this deluge of valuable things that communities are shepherding into the world, I wanted to incorporate them into my workflows, which as a software engineer, means my text editor.

*UniteAI*

So I started *UniteAI* https://github.com/freckletonj/uniteai, an Apache-2.0 licensed tool.

Check out the screencasts: https://github.com/freckletonj/uniteai#some-core-features

This project:

* Ties in to *any editor* via Language Server Protocol. Like collaborating in G-Docs, you collab with whatever AI directly in the document, all of you writing alongside each other concurrently.

* Like Copilot / Cursor, it can write code/text right in your doc.

* It supports *any Locally runnable model* (Llama family, Falcon, Finetunes, the 21k available models on HF, etc.)

* It supports *OpenAI/ChatGPT* via API key.

* *Speech-to-Text*, useful for writing prompts to your LLM

* You can do *Semantic Search* (Retrieval Augmented Generation) on many sources: local files, Arxiv, youtube transcripts, Project Gutenberg books, any online HTML, basically if you give it a URI, it can probably use it.

* You can trigger features easily via [key combos](https://github.com/freckletonj/uniteai#keycombos).

* Written in Python, so, much more generic than writing a bespoke `some_specific_editor` plugin.

*Caveat*

Since it always comes up, *AI is not perfect*. AI is a tool to augment your time, not replace it. It hallucinates, it lies, it bullshits, it writes bad code, it gives dangerous advice.

But can still do many useful things, and for me it is a *huge force multiplier.*

*You need a Human In The Loop*, which is why it's nice to work together iteratively on a text document, per, this project. You keep it on track.

*Why is this interesting*

These tools play well when used together:

* *Code example:* I can Voice-to-Text a function comment then send that to an LLM to write the function.

* *Code example 2:* I can chit chat about project architecture plans, and strategies, and libraries I should consider.

* *Documentation example:* I can retrieve relevant sections of my city's building code with a natural language query, then send that to an LLM to expound upon.

* *Authorship example*: I can have my story arcs and character dossiers in some markdown file, and use that guidance to contextualize an AI as it works with me for writing a story.

* *Entertainment example*: I told my AI it was a Dungeon Master, then over breakfast with friends, used Voice-to-Text and Text-to-Wizened-Wizard-Voice, and played a hillarious game. I still had to drive all this via a text doc, and handy key combos.

*RFC*

Installation instructions are on the repo: https://github.com/freckletonj/uniteai#quickstart-installing...

This is still nascent, and I welcome all feedback, positive or critical.

We have a community linked on the repo which you're invited to join.

I'd love love to chat with people who like this idea, use it, want to see other features, want to contribute their effort, want to file bug reports, etc.

A big part of my motivation in this is to socialize with like-minds, and build something cool.

*Thanks for checking this out!*

[UniteAI](https://github.com/freckletonj/uniteai) I think fits the bill for you.

This is my project, where the goal is to Unite your AI-stack inside your editor (so, Speech-to-text, Local LLMs, Chat GPT, Retrieval Augmented Gen, etc).

It's built atop a Language Server, so, while no one has made an IntelliJ client yet, it's simple to. I'll help you do it if you make a GH Issue!

UniteAI (github)