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3 posts with the tag “JavaScript”

Hugging Face Transformers.js

Peli
Peli
GenAIScript developer

🤗

Hugging Face Transformers.js is a JavaScript library that provides a simple way to run LLMs in the browser or node.js (or Bun, Deno, …).

With the latest GenAIScript, you can use Text Generation Models directly in the script configuration using the transformers model provider.

script({
  model: "transformers:HuggingFaceTB/SmolLM2-1.7B-Instruct:q4f16"
})

GenAIScript will download and cache the model for you, and you can start using it right away fully locally.

There are plenty of models to choose from and you can also follow the Hugging Face documentation to fine tune your own.

Support for Agentic tools

Peli
Peli
GenAIScript developer

Agentic is a standard library of TypeScript AI tools optimized for both TS-usage as well as LLM-based usage, which is really important for testing and debugging.

Agentic brings support for a variety of online APIs, like Bing, Wolfram Alpha, Wikipedia, and more. You can register any Agentic tool in your script using defTool. Here’s an example of how to use the Weather tool:

import { WeatherClient } from "@agentic/weather"
const weather = new WeatherClient()
defTool(weather)

Unlocking the Power of Prompts - A Gentle Introduction to GenAIScript 🚀

GenAIScript
GenAIScript
GenAI Blogger
 Peli
Peli
GenAIScript developer

Ever wondered how to leverage the power of AI and Large Language Models (LLMs) in your projects? Look no further! This post will introduce you to GenAIScript, a tool designed to simplify the creation of prompts and interactions with LLMs. Let’s dive in! 🌊

What is GenAIScript?

GenAIScript uses a stylized version of JavaScript to generate prompts, which are then sent to an LLM. Scripts are stored as files (genaisrc/*.genai.mjs), executed to produce the prompt text and structured results (files, diagnostics) are extracted automatically.

Getting Started

Here’s a simple example to get you started. Create a file named poem.genai.mjs in the genaisrc folder and add the following code:

$`Write a one sentence poem.`

When executed, this script will generate the following prompt:

👤 User 
Write a one sentence poem.
🤖 Assistant 
Roses bloom, hearts swoon, under the silver moon.

Adding Context

GenAIScript can also use context variables, allowing you to interact with files or other data sources. Let’s see an example where we define a context variable using env.files:

def("FILES", env.files)
$`You are an expert technical writer and proofreader.
Review the documents in FILES and report the 2 most important issues.`

Execute this script to see the generated user message and the assistant’s response. The context variable FILES will contain the list of files in the environment.

👤 User 
FILES:
file="src/samples/markdown.md"
What is Markdown?
Markdown is a lightweight markup language that...


You are an expert technical writer and proofreader.
Review the documents in FILES and report the 2 most important issues.
🤖 Assistant 
I reviewed the document in "src/samples/markdown.md"
and found the following two important issues:


1. **Missing Consistency in Heading Styles**: ...

Metadata and Script Configuration

You can add metadata to your script using the script function. This helps in organizing and configuring the script, including specifying the model and other parameters. GenAIScript supports various LLM providers, such as OpenAI, Azure OpenAI, GitHub Models, Ollama and more.

script({
    title: "Technical proofreading",
    description: "Reviews the text as a tech writer.",
    model: "openai:gpt-4o",
    temperature: 0.1,
})
def("FILES", env.files)
$`You are an expert technical writer and proofreader.
Review the documents in FILES and report the 2 most important issues.`

Next Steps

There you have it! A gentle introduction to GenAIScript to get you started on your prompt engineering journey. Happy scripting! 💻✨