Matt Rickard
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Matt Rickard
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most popular engineering startups misc ai all

06-08-23

LLMs For Software Portability

06-07-23

ChatGPT Plugins Don't Have PMF

06-06-23

Levels of Autonomy in AI Agents

06-05-23

The Problem with Tokenization in LLMs

06-04-23

What Diffusion Models Can Teach Us About LLMs

06-03-23

Sequence and Version Control Models

05-31-23

Faster Horses: AI Products That Companies Think They Want

05-29-23

AI Means More Developers

05-27-23

Prompt Engineering is Configuration Engineering

05-26-23

05-24-23

The ChatGPT Plugin Specification

05-21-23

The New Tax on Engineering Against the Grain

05-19-23

On Regulating AI

05-18-23

05-17-23

A List of Leaked System Prompts

05-16-23

Intercloud Brokers

05-15-23

React LLM: Run Models in the Browser with Headless Components

05-14-23

Context-Free Grammar Parsing with LLMs

05-12-23

StackOverflow/ChatGPT

05-11-23

Self-hosted Compilers and Bootstrapped AI

05-10-23

Unix Philosophy for AI

05-08-23

The New AI Moats

05-05-23

ReLLM: Exact Structure for Large Language Model Completions

05-04-23

04-30-23

Implementing LLMs in the Browser

04-26-23

Probabilistic Data Structures and LLMs

04-21-23

Autonomous LLM Agents Are At Least 10 Years Out

04-19-23

Sandbox Your Prompts

04-17-23

Jevons Paradox and LLMs

04-14-23

Synthetic Data From Compilers

04-13-23

Foundational Models Are Not Enough

04-10-23

A List of 1 Billion+ Parameter LLMs

04-09-23

No GPUs before Product-Market Fit

04-07-23

Buyers in the Foundational Model Stack

04-05-23

A High-level LLMOps Architecture

04-03-23

The Automation Frontier

04-02-23

Why Open-Source a Model?

03-30-23

The AI Partnership Race

03-29-23

A Hacker's Guide to LLM Optimization

03-27-23

Code, not Chat, in Generative AI

03-26-23

Distributed Systems and AI

03-23-23

Are Incumbents Accruing All The AI Value?

03-22-23

Model Arbitrage

03-21-23

Modeling Context Length vs. Information Retrieval Cost in LLMs

03-17-23

Foundational Models Are Commodities

03-16-23

On OpenAI's Kubernetes Cluster

03-15-23

Choosing the Right Model

03-13-23

On Prompt Injection

03-12-23

Local LLaMA on a Mac M1

03-11-23

Automatic1111 and AI Aggregators

03-09-23

Chain of Thought Paradigms in LLMs

03-05-23

Will The AI Stack Be Open Or Closed?

03-02-23

ChatML and the ChatGPT API

02-25-23

Commoditization of Large Language Models: Part 3

02-19-23

Why Python Won't Be the Language of LLMs

02-16-23

Why ChatGPT Needs AuthZ

02-12-23

LLM Ops, Part 1

02-10-23

Multi-Model vs. Multi-Cloud

02-05-23

Composable Models

01-28-23

Overview of GPT-as-a-Backend

01-23-23

Prompt Engineering Shouldn't Exist

01-22-23

01-14-23

Garbage In, Garbage out?

01-12-23

Minix and nanoGPT

01-10-23

Lessons from the Last AI Cycle

01-08-23

Fine-Tuning an OCR Model

01-02-23

12-30-22

Local AI: Part 2

12-29-22

Local AI: Part 1

12-26-22

Turing Social: Twitter, For Bots

12-21-22

ML Developer Experience

12-15-22

AI-driven Interfaces

12-14-22

LAION, The Pile, and more datasets

12-12-22

Lessons from Lensa

12-08-22

Spam Filtering AI Content

12-06-22

Stack Overflow Bans ChatGPT

12-05-22

Will LLMs Disrupt Google Search?

12-03-22

A Conversation with ChatGPT

11-27-22

Human-in-the-Loop and Other AI Mistakes

11-19-22

Generative AI Value Chain

11-13-22

10-21-22

AI Will Write Most Code

10-19-22

AI Scaling Laws

09-12-22

TensorFlow vs. PyTorch

07-25-22

Defensible Machine Learning Model Naming

06-22-22

How to Use GitHub Copilot Effectively

11-09-21

Open-sourced GPT-J

08-17-21

One Month of Using GitHub Copilot

07-10-21

06-26-21

Machine Learning Operations (MLOps), Convergent or Divergent?

03-15-21

ScapeNet: Real-time object detection in RuneScape