AiFilter
SoM
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AiFilter
-
Ask HN: What have you built with LLMs?
A Twitter filter to take back control of your social media feed from recommendation engines. Put in natural language instructions like "Only show tweets about machine learning, artificial intelligence, and large language models. Hide everything else" and it will filter out all the tweets that you tell it to.
Runs on a local LLM, because even using GPT3 costs would have added up quickly.
Currently requires CUDA and uses a 10.7B model but if anyone wants to try a smaller one and report results let me know on github and I can give some help.
https://github.com/thomasj02/AiFilter
-
Show HN: AI-Powered Twitter Filter
While exploring new applications for local LLMs, I built a Chrome extension that filters your Twitter feed based on natural language instructions.
For instance, you can instruct it to "Hide all tweets, except for tweets about machine learning (ML), artificial intelligence (AI) and large language models (LLMs)."
I've tested it and got good results with a 10B parameter model, but I suspect a high-quality small model like Phi-2 might work almost as well.
It's open source and available at https://github.com/thomasj02/AiFilter
Video demo: https://www.youtube.com/watch?v=CligVVTC5io
SoM
-
Ask HN: What have you built with LLMs?
At https://openadapt.ai/ we are using LLMs to automate repetitive tasks in GUI interfaces. Think robotic process automation, but via learning from demonstration rather than no-code scripting.
The stack is mostly python running locally, and calling the OpenAI API (although we have plans to support offline models).
For better visual understanding, we use a custom fork of Set-of-Mark prompting (https://github.com/microsoft/SoM) deployed to EC2 (see https://github.com/OpenAdaptAI/SoM/pull/3).
- Set-of-Mark Visual Prompting for GPT-4V
- Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4Vision
What are some alternatives?
Language-games - Dead simple games made with word vectors.
gpt_jailbreak_status - This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.
data-analytics - Welcome to the Data-Analytics repository
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)