11 tips for distilling smaller models with GPT / Webinar

Go from OpenAI to Open-Source

Token 1.12: What is Vector Database's Role in FMOps?

We explain what vector databases are and how they work, explore alternative solutions and provide expert insight on security

FOD#31: Enabling the Future of AI

join the prediction game + enjoy the list of the most relevant developments in the AI world

Essential Reading: Top 10 Surveys in Transfer Learning and Domain Adaptation for Computer Vision

Dive into the Evolution and Impact of Transfer Learning and Domain Adaptation through these Influential Surveys

Character AI's Journey: From Not Needed to Highly Valued

Challenging Conventions: How Character AI is Carving Its Niche Amidst Tech Titans (and Can It?)

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