https://floneum.com/blog/kalosm_0_2/

## What is Kalosm?

Kalosm provides a simple interface for pre-trained language, audio, and image models models. To make it easy to use with these models in your application, Kalosm includes a set of integrations other systems like your database or documents.

```rust use kalosm::language::*;

#[tokio::main] async fn main() { let mut model = Llama::new_chat();

    let mut chat = Chat::builder(&mut model)
        .with_system_prompt("The assistant will act like a pirate")
        .build();

    loop {
        chat.add_message(prompt_input("\n> ").unwrap())
            .await
            .unwrap()
            .to_std_out()
            .await
            .unwrap();
    }

## What can you build with Kalosm?

Kalosm is designed to be a flexible and powerful tool for building AI into your applications. It is a great fit for any application that uses AI models to process sensitive information where local processing is important.

Here are a few examples of applications that are built with Kalosm:

- Floneum (https://floneum.com/): A local open source workflow editor and automation tool that uses Kalosm to provide natural language processing and other AI features. - Kalosm Chat (https://github.com/floneum/kalosm-chat): A simple chat application that uses Kalosm to run quantized language models.

## Kalosm 0.2

The 0.2 release includes several new features and some performance improvements:

- Tasks and Agents - Task Evaluation - Prompt Auto-Tuning - Regex Validation - Surreal Database Integration - RAG improvements - Performance Improvements - New Models

If you have any questions, feel free to ask them here, in the discord (https://discord.gg/dQdmhuB8q5) or on GitHub (https://github.com/floneum/floneum/tree/master/interfaces/ka...).

To get started with Kalosm, you can follow the quick start guide: https://floneum.com/kalosm/docs/