Token 1.3: What is Retrieval-Augmented Generation (RAG)?

we discuss the origins of RAG, what LLMs limitations it tries to fix, its architecture, and why it is so popular. Enjoy the collection of helpful links

FOD#22: Apple's AI Moat – Transforming Hardware and Setting the Stage for Industry Leadership

plus the curated list of the most relevant developments in the AI world

Lightricks: The Oldest Generative AI Unicorn

How to leverage AI for creator economy

Token 1.2: Use Cases for Foundation Models and Key Benefits

(but don’t give up your decision tree yet!)

FOD#21: Amazon's Shovels, Anthropic's Castle: A Symbiotic AI Moat.

plus the curated list of the most relevant developments in the AI world

Token 1.1: From Task-Specific to Task-Centric ML: A Paradigm Shift

Our new series on Foundation Model and Large Language Model Ops (FMOp/LLMOps)

FOD#20: Intuitive and interactive AI that gently guides us toward AI succession

plus the curated list of the most relevant developments in the AI world

FOD#19: The Convergence of Reasoning and Action in AI

...to elevate AI from a simple data processor to a sophisticated decision-making tool

A Comprehensive Open-Source Python Library for All Major Algorithms

Interview: OpenAI GC Che Chang on Managing Risks and Rewards of AI

Plus guidance for enterprises from the industry trailblazer

How to Handle Missing Values?

Practical Advice from Experts: Preventing, Managing Missing Data + Using Synthetic Data

FOD#18: AI Insights Summit’s Insight and a Personal Insight

The last week of summer to think about imbalances in AI industry