mojombo
    mojombo/ai-title-generator
    Public

    Fork

    About

    A Pipe (AI Assistant) to generate a list of titles on any topic.

    Meta

    Tools

    No tools added to the Pipe.

    Readme

    AI Title Generator

    A Pipe (AI Assistant) to generate a list of titles on any topic.

    Quick start: Build an AI to Generate Titles

    Let's build your first AI pipe in a minute. Please follow the quickstart guide here.


    In this quick start guide, you will:

    • Create and use a Pipe on Langbase.
    • Use an LLM model like GPT, Llama, Mistral, etc.
    • Build your pipe with configuration and meta settings.
    • Design a prompt with system, safety, and few-shot messages.
    • Experiment with your AI pipe in playground (Langbase AI Studio).
    • Observe real-time performance, usage, and per million request predictions.
    • Deploy your AI features seamlessly using the Pipe API (global, higly available, and scalable).

    Pipe helps you build your own sophisticated AI apps/features in a minute.

    Ever found yourself amazed by what ChatGPT can do and wished you could integrate similar AI features into your own apps? That's exactly what Pipe is designed for. It’s like ChatGPT, but simple (simplest API), powerfull (works with any LLM), and developer-ready (comes with a suite of dev-friendly features).


    Refresher: What's an AI Pipe?

    Pipe is the fastest way to turn ideas into AI. It's like an AI feature you can custom build in a minute.


    Pipe lets you build AI features without thinking about servers, GPUs, RAG, and infra.

    It is a high-level layer to Large Language Models (LLMs) that creates a personalized AI assistant for your queries and prompts. A pipe can leverage any LLM models, tools, and knowledge base with your datasets to assist with your queries.

    Pipe can connect any LLM to any data to build any developer API workflow.


    AI Pipe


    P → Prompt Prompt engineering and orchestration.

    I → Instructions Instruction training few-shot, persona, character, etc.

    P → Personalization Knowledge base, variables, and safety hallucination engine.

    E → Engine API Engine, with custom inference , and enterprise governance.


    Please follow the quickstart guide here.