This article details how to reduce email spam on a mail server by using local LLMs with Rspamd and Ollama, focusing on privacy and effectiveness. It covers setup instructions, troubleshooting, and performance feedback after 6 months of use.
This article details how to set up an email triage system using Home Assistant and a local Large Language Model (LLM) to summarize and categorize incoming emails, reducing inbox clutter and improving email management. It covers the setup of a REST command to interface with Ollama, the automation process, and the benefits of using a local LLM for privacy.
DispatchMail is an open source locally run (though currently using OpenAI for queries) AI-powered email assistant that helps you manage your inbox. It monitors your email, processes it with an AI agent based on your prompts, and provides a (locally run) web interface for managing drafts/responses, and instructions.
Lightweight CLI agent to semantically search and ask your emails. Downloads inbox, generates embeddings using local (or external) LLMs, and stores everything in a vector database on your machine. Supports incremental sync for fast updates.
Yahoo Mail introduces an AI-powered app experience featuring email summaries, messaging-inspired interface, and gamified features to help users manage their inboxes more efficiently.
Large language models (LLMs) that power chatbots can be used to scam humans, but these AI models are also susceptible to being scammed themselves, with varying degrees of gullibility among different models.
Jelled.ai utilizes AI-powered digital twins to revolutionize workplace communication. These twins distill, prioritize, and automate communication, providing contextual insights, drafting responses, and ensuring continuity of knowledge.
"...a feature that activates when Claude reads a scam email (this presumably supports the model’s ability to recognize such emails and warn you not to respond to them). Normally, if one asks Claude to generate a scam email, it will refuse to do so. But when we ask the same question with the feature artificially activated sufficiently strongly, this overcomes Claude's harmlessness training and it responds by drafting a scam email."
How to use Burr, an open source framework using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them.
Credential-stealing emails are getting past artificial intelligence's "known good" email security controls by cloaking malicious payloads within seemingly benign emails. The tactic poses a significant threat to enterprise networks.
