Written by
Arjun Ram
Date published
November 7, 2023
While machine learning has been around for a while (my first startup 14 years ago was based on ML & natural language processing), this wave of AI (transformers & generative AI) feels like a tsunami. Its is a culmination of multiple waves listed below that are crashing at the same time:
- Natural Language as an interface (Voice to Text and Text To Speech)
- Generate human like content & code (Generative AI using existing patterns)
- Reasoning Capabilities (Able to break down into smaller issues)
- Hardware (GPUs)
Given how fast this space is moving, it is natural to feel daunted. So if you are looking for starter kit to get started, here are my recommendations. Feel free to tweet me if I am missing something.
š“š½Ā Messiahās Corner
Marc provides an optiistic view, must read!
Marc goes toe to toe with Ben Thompson
No better thought leader than Elon who takes a very long view
Folks that truly have the pulse of the ecosystem - Nat Friedman & Daniel Gross
šŖš¼The Enablers
The company that started this rush - OpenAI
The Juggernaut that powers it all
Facebook learned from their mobile fiasco & enabled the opensource ecosystem
š°Gamblerās Paradise
š¬Ā 101
Into to Large Language Models
Large Language Models (LLMs) explained
Reinforcement Learning from Human Feedback (RHLF) explained
Various terms explained
šļøBuilderās Toolkit
Sarah Guo Lays out a template for strategy
š·š»āāļøProduct Managerās Corner
š¤Ā Things to ponder
Impact on energy consumption
Impact on water resources needed for cooling
Impact of Generative AI on education
Data licensing issues that power LLMs
Human reinforced learning with International labor
šReading Corner
If you want to understand the foundations of ML from an economic perspective.
Historic context of ML & a compelling case about the opportunity
š±Ā Staying upto date
This space moves at a lightening pace, my Twitter List to keep upto date