Token 1.11: What is Low-Rank Adaptation (LoRA)?

Making fine-tuning more efficient and less costly

FOD#30: One Year of ChatGPT – The Impact

Reflecting on ChatGPT's milestones in conversational AI, education, healthcare, and ethical AI discussions

8 Open-Source Tools for Retrieval-Augmented Generation (RAG) Implementation

Creating large language model that "speaks DNA"

Interview with Barry Canton from Gingko Bioworks about real-life implementation of ML and AI

Token 1.10: Large vs Small in AI: The Language Model Size Dilemma

Your Guide to the Pros and Cons of Large and Small AI Models

FOD#29: Microsoft Goes All In On AI, Now With Sam Altman and Greg Brockman as Employees

What a weird weekend

5 Open Computer Vision Courses Across Top Universities

From Geometric Vision to Deep Learning: Unveiling the Leading-edge Curricula of NYU, UC Berkeley, UW, UT Austin, and Stanford

Replit: How to Compete Tech Giants by Democratizing AI in Coding

Embracing an Egalitarian Approach to Compete with GitHub CoPilot, Amazon's Code Whisperer, Salesforce's CodeGen, and More in a Rapidly Evolving, Yet Complex Coding Environment

Token 1.9: Open- vs Closed-Source AI Models: Which is the Better Choice for Your Business?

A Deep Dive into the Pros and Cons of Each Approach with a Few Useful Tips

FOD#28: Is France the Next Open-Source AI Capital?

plus groundbreaking OpenAI announcements and tons of useful links

Insights from Sasha Luccioni's TED Talk on Impact of AI

Ethical AI, Environmental Impact, and Bias in Machine Learning

Token 1.8: Silicon Valley of AI Chips and Semiconductors

Understanding the Chips that Drive Today's AI Breakthroughs