Automate a Causal Inference Python Repo from Scratch with Augment Code If you’ve ever wanted to build a clean Python repository for implementing methods from Causal Inference for the Brave and True but didn’t want to do all the setup manually, you might love using Augment Code. It is a platform that connects AI to […]
Agent Code Generation Part 1: Augment Code Read More »
Today we will try running an LLM locally on a Macbook Pro with Apple Silicon. To do this we will use ollama, since it is one of the easiest ways. First, download the right installer for your OS from ollamma.com. This will also install the CLI command ollama, which you can use to run LLMs
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I read an article by a guy who used ChatGPT4 as the dungeon master for a solo compaign for Dungeons & Dragons. Just him and ChatGPT. The chatbot fully played the role of a human dungeon master! It sounded really fun and I decided to try it out, but since I love Cyberpunk very much,
Playing Shadowrun with ChatGPT Read More »
In the movie Matrix Reloaded, we see Trinity use SSH Nuke to hack a compromised server. This script exploits the SSH CRC-32 vulnerability, specifically known as CVE-2001-0144, which affected older versions of the OpenSSH software. Here’s an explanation of how this vulnerability worked: Overview of the Vulnerability The SSH CRC-32 vulnerability exploited a flaw in
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Here is how you can call OpenAI’s ChatGPT API, given that you have an API key. Follow these instructions to get one. import openai openai.api_key = 'FILL IN YOUR OWN' openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Who won the world series in 2020?"}, {"role": "assistant", "content": "The
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You may have the need to reset your wordpress password and here I’ll show you how to do that, assuming you have access to your sites MySQL database. WordPress stores the password for your user in the wp_users table. The password itself is assumed to be hashed with MD5. You can set a new password
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I asked ChatGPT to: explain double machine learning for dummies Here is the answer: Double machine learning (DML) is a statistical method used to estimate treatment effects in the presence of high-dimensional controls. To put it simply, it’s a way to answer questions about cause and effect using data and machine learning, even when there
Double Machine Learning for Dummies as explained by ChatGPT Read More »
https://pyro.ai/examples/intro_long.html
Pyro’s introduction to probabilistic programming Read More »
Taken from lecture 1 of Statistical Rethinking course (around the 44 minute mark). The course material is also on Github. How to draw an "owl" version 1: Create generative simulation (GS) Write an estimator Validate estimator using simulated data Analyze real data: … Reuse 1 to compute hypothetical interventions How to draw an "owl" version
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Yes, this is clearly nonsense. Sorting is not a hard problem and standard algorithms such as quicksort and mergesort have O(x^2) and O(n log(n)) complexity. But let me scratch this itch of sorting numbers using an evolutionary algorithm, specifically Covariance matrix adaptation evolution strategy (CMA-ES). Technically, we will use what I think is the original
How to sort numbers with an evolutionary algorithm (CMA-ES) Read More »