FOD#33: 2024 Priorities and Predictions from Yoshua Bengio and other prominent AI researchers and thinkers

as well as the freshest and the most relevant research papers of the week

8 Free Courses to Master Large Language Models

AI21 Labs: Being in Amazon's Bedrock without any investment from Amazon

How AI21 Labs Maintains Independence and Innovation While Collaborating with Amazon, Distinguishing Itself from Industry Giants Like OpenAI

📑 Whitepaper: Batch, Streaming & Real-Time Data*

How to Leverage Their Full Power for Production ML

Token 1.13: Where to Get Data for Data-Hungry Foundation Models

Explore how data is gathered to train FMs, learn a few data efficient training techniques and the ethics of data

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