Bias in language models can have severe consequences, from reinforcing discrimination to impacting industries like healthcare, hiring, and finance. Addressing this issue is essential to ensure models provide fair and accurate outputs for all users. This guide explains how bias develops, its effects, and practical steps to identify and reduce it. Bias debugging requires continuous monitoring, user feedback, and proactive testing to build models that treat users equitably. Bias in large language models (LLMs) shows up as outputs that lean toward specific groups, often reflecting stereotypical associations, discriminatory patterns, or uneven performance across various demographic groups.

Explore how mixed-precision training revolutionizes large language models by enhancing speed and efficiency while maintaining accuracy.

Learn best practices for evaluating fine-tuned language models, including setting clear goals, choosing the right metrics, and avoiding common pitfalls.

Explore the privacy risks and protections of Retrieval-Augmented Generation systems, focusing on data security in sensitive industries.

Explore the evolution from Standard RAG to Agentic RAG, highlighting advancements in knowledge personalization and AI's role in complex problem-solving.

Continuation of 'Overnight Fullastack Applications' & 'How To Connect, Code & Debug Supabase With Bolt' - This workshop recording will show you how to take an app and deploy it on the web in 3 different ways All 3 deployments will happen in only 30 minutes (10 minutes each) so you can go focus on what matters - the actual app

Continuation of Overnight Fullastack Applications - This workshop recording will show you how to connect your Bolt applications with Supabase, how to create your first few tables, and how to debug your app when it inevitably crashes. All in less than an hour so you can go and implement everything immediately after

In this course we look at how AI is used in Applicant Tracking Software (ATS), what you can do to make your CV stand out in the age of AI filters, and we also look at whether and how to use AI to jazz up your applications.

In this course, I’ll guide you through mastering n8n, an open-source platform for building AI-powered workflows, from core concepts like nodes and AI agents to hands-on implementation. You’ll set up an AI agent that chats and manages tasks in Linear, helping you automate tasks with ease.

Learn Pro Patterns for Hooks, Testing, Redux, SSR, and GraphQL

Practical Security for Busy People

Learn Data Structures and Algorithms in JavaScript

A Field Guide to Your New Career

The Complete Guide to Developing Data Visualizations with D3