FOD#32: Mixture of Experts – What is it?

A history of MoE and concise coverage of the remarkably rich week in ML research and innovations

7 resources to master prompt engineering

Learn the skill of the future

tl;dr: Don’t Ever Set Your Electric Car on Fire

What happens to lithium ion batteries and how to put them out

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