Hey fellow Lemmings,
I’m thrilled to announce the launch of AI News Summary Bot, a project that brings you News summary! The bot is now live on our community at !news_summary@lemmy.dbzer0.com.
The bot is still in its early stages, and I’m excited to hear your feedback and suggestions on how to improve it. Feel free to share your thoughts and ideas.
Repository: If you’re interested in contributing or exploring the code behind the bot, you can find the repository at https://github.com/muntedcrocodile/ai_news_bot.
Donations: If you’re interested in donating to allow me to spend more time developing please do: monero:8916FjDhEqXJqX9Koec9WaZ4QBQAa6sgW6XhQhXSjYWpQiWB42GsggEh73YAFGF86GU2gEE1TTRdWSspuMgpWGkiPHkgBTX
Stay informed, and let’s build this community together!
EDIT: grammar
If u went and actually looked at what it did u would realise my implementation is not as bad as it sounds.
EDIT: plus its foss so u can go check the source
The concept is inherently flawed when you introduce an aspect (LLM) that can and will hallucinate (read: make shit up) when it’s trying to present reality.
As far as I’m concerned, there is no place for that anywhere remotely close to news.
The model i have used gives a 60% identical summary to that provided by a human. And has an overall conceptual accuracy of >95% i was very carefull with my model selection and implementation as to ensure hallucinations are extremely rare if at all possible. Im not just feeding in “summarise this: <text>” to a general purpose llm (known for hallucinations) i break the article into chunks at sentence breaks then make a summary of that chunk directly by passing it to a purpose build summarisation model.