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#223 - AI for JavaScript Developers: What You Actually Need to Know

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Manage episode 471819240 series 3399111
Content provided by Brian Jenney. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Jenney or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

I started off 2025 knowing jack sh*t about LLMs besides how to ask Chat-GPT questions.

Since then, I've built a multi-agent app for work, learned some linear algebra to understand how LLMs work at a basic level and started using a new tech stack for working with these LLMS.

In this episode, I lay out the technologies you need to learn to keep up with AI as a full stack JavaScript developer and a project to up skill yourself.

Resources mentioned:

3Blue1Brown's Linear Algebra series

LLM Engineer's Handbook

Building a Large Language Model (from scratch)

I'll be working with 20 developers in a 30 day style cohort to up-skill with AI.

Apply here: https://www.parsity.io/ai-developer 👈

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Chapters

1. Introduction to AI for Full-Stack Developers (00:00:00)

2. Understanding the Digital Divide in Tech (00:03:21)

3. How Large Language Models Actually Work (00:08:44)

4. Vector Databases and RAG Applications (00:15:48)

5. Streaming UI and Modern User Expectations (00:24:22)

6. Hands-on Project to Master AI Skills (00:31:23)

7. Recommended Resources and Upskilling Opportunity (00:36:47)

303 episodes

Artwork
iconShare
 
Manage episode 471819240 series 3399111
Content provided by Brian Jenney. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Jenney or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

I started off 2025 knowing jack sh*t about LLMs besides how to ask Chat-GPT questions.

Since then, I've built a multi-agent app for work, learned some linear algebra to understand how LLMs work at a basic level and started using a new tech stack for working with these LLMS.

In this episode, I lay out the technologies you need to learn to keep up with AI as a full stack JavaScript developer and a project to up skill yourself.

Resources mentioned:

3Blue1Brown's Linear Algebra series

LLM Engineer's Handbook

Building a Large Language Model (from scratch)

I'll be working with 20 developers in a 30 day style cohort to up-skill with AI.

Apply here: https://www.parsity.io/ai-developer 👈

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Chapters

1. Introduction to AI for Full-Stack Developers (00:00:00)

2. Understanding the Digital Divide in Tech (00:03:21)

3. How Large Language Models Actually Work (00:08:44)

4. Vector Databases and RAG Applications (00:15:48)

5. Streaming UI and Modern User Expectations (00:24:22)

6. Hands-on Project to Master AI Skills (00:31:23)

7. Recommended Resources and Upskilling Opportunity (00:36:47)

303 episodes

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