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Scripting Local Language Models with Ollama and the Vercel AI SDK

15m 27s
English
Paid

Unlock the potential of artificial intelligence by creating powerful local scripts with local language models. Move beyond simple AI chats and learn to write scripts that run entirely locally, interact with the file system, and automate complex tasks. This course provides a comprehensive guide to building a flexible command-line tool that understands natural language.

Course Overview

Beginning with an empty TypeScript file, you will explore how to harness the strengths of Ollama, Vercel AI SDK, and Zod. The course will teach you to create a script that is not only functional but also intelligent. You will train the model to interpret ordinary phrases as commands, manage user input dynamically, access project files, and generate context-dependent textual outputs.

Key Learning Objectives

You will gain skills in developing resilient and scalable tools. This includes techniques for handling errors properly, managing unexpected AI responses, and creating an organized modular command structure. Ultimately, you will construct an intelligent layer that enables the script to comprehend user intentions, such as determining the necessary file type for processing.

Course Outcomes

Upon completion of the course, you will have developed your very own local AI assistant and acquired foundational skills necessary to build sophisticated automations on your computer.

Course Curriculum

  • Creating scripts for local language models using Ollama and Vercel AI SDK.
  • Handling dynamic command line input effectively.
  • Utilizing Zod schemas for validation and structuring of model output.
  • Providing file system context with the help of globby.
  • Generating meaningful text based on file content.
  • Implementing strategies to handle errors and incorrect commands.
  • Building a modular architecture with separate files for each command.
  • Equipping the script with the ability to "guess" user intentions and file types.

About the Author: egghead.io

egghead.io thumbnail

egghead.io is a US-based subscription video platform focused on short, focused screencasts on JavaScript ecosystem topics. Founded in 2012 by John Lindquist (a Google Developer Expert) and run by Joel Hooks, egghead pioneered the short-screencast format that most modern developer-education platforms now use — courses are typically broken into 2-5 minute lessons that each cover one specific concept or API.

The instructor roster includes many of the most cited names in the JavaScript ecosystem — Kent C. Dodds (whose Testing JavaScript launched on egghead before EpicWeb.dev), Andrew Del Prete, Hannah Davis, Lukas Ruebbelke, Tomasz Łakomy, Andy Van Slaars, and many others. Course material covers React, Next.js, TypeScript, Node.js, GraphQL, Vue, the testing tracks, RxJS / observables, and a long list of smaller libraries and tools.

The CourseFlix listing under this source carries over 20 egghead courses spanning that range. Material is paid; egghead itself runs on a monthly / annual subscription on the original platform. The bite-sized format suits developers learning incrementally during work hours rather than committing to multi-hour video sessions.

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#1: Scripting Local Language Models with Ollama and the Vercel AI SDK
All Course Lessons (7)
#Lesson TitleDurationAccess
1
Scripting Local Language Models with Ollama and the Vercel AI SDK Demo
02:12
2
Processing Dynamic User Input in Local AI Scripts
00:43
3
Providing File System Context to Local AI Scripts with Globby and Zod Enums
01:40
4
Generating Text with a Local AI Model Based on File Content
01:27
5
Handling Invalid Commands and AI Errors in Local Scripts
01:59
6
Creating Dynamic, File-Based Commands for Local AI Scripts
02:37
7
Dynamically Inferring File Types from User Prompts in Local AI Scripts
04:49
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Course content

7 lessons · 15m 27s
Lessons
  1. 1 Scripting Local Language Models with Ollama and the Vercel AI SDK 02:12
  2. 2 Processing Dynamic User Input in Local AI Scripts 00:43
  3. 3 Providing File System Context to Local AI Scripts with Globby and Zod Enums 01:40
  4. 4 Generating Text with a Local AI Model Based on File Content 01:27
  5. 5 Handling Invalid Commands and AI Errors in Local Scripts 01:59
  6. 6 Creating Dynamic, File-Based Commands for Local AI Scripts 02:37
  7. 7 Dynamically Inferring File Types from User Prompts in Local AI Scripts 04:49

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Frequently asked questions

What is Scripting Local Language Models with Ollama and the Vercel AI SDK about?
Unlock the potential of artificial intelligence by creating powerful local scripts with local language models. Move beyond simple AI chats and learn to write scripts that run entirely locally, interact with the file system, and automate…
Who teaches Scripting Local Language Models with Ollama and the Vercel AI SDK?
Scripting Local Language Models with Ollama and the Vercel AI SDK is taught by egghead.io. You can find more courses by this instructor on the corresponding source page.
How long is Scripting Local Language Models with Ollama and the Vercel AI SDK?
Scripting Local Language Models with Ollama and the Vercel AI SDK contains 7 lessons with a total runtime of 15 minutes. All lessons are available to watch online at your own pace.
Is Scripting Local Language Models with Ollama and the Vercel AI SDK free to watch?
Scripting Local Language Models with Ollama and the Vercel AI SDK is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Scripting Local Language Models with Ollama and the Vercel AI SDK online?
Scripting Local Language Models with Ollama and the Vercel AI SDK is available to watch online on CourseFlix at https://courseflix.net/course/scripting-local-language-models-with-ollama-and-the-vercel-ai-sdk. The page hosts every lesson with the integrated video player; no download is required.