Token 1.15: What are Hallucinations: a Critical Challenge or an Opportunity?

We explore why hallucinations occur, strategies and methods for identifying them, and if they can be beneficial + a curated list of datasets, libraries, and tools

FOD#35: The last week of 2023 in Research

Gems! Let’s keep the momentum going by shedding light on these fascinating studies

All GenAI Unicorns in one place – dive in!

2023 Recap: Navigating the Landscape of GenAI Unicorns and Their Disruptive Trajectories

A Halfway Recap – Decoding FMOps: From Basics to Advanced RAG and CoT

Organizing emerging knowledge in real-time

FOD#34: It's All About Inference

+ a bonus video for your kids and the best-curated list of research papers

The best books about AI&ML

For Your Holiday Reading

Token 1.14: What is Synthetic Data and How to Work with it?

Will it eliminate the need for real data? Let's explore

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