Random AI Thoughts Posts - things I am looking at: scale ai Pinecone Perplexity Notion Hebbia Character AI --- web server web client stand alone - limited html and http - validates your html and shit very strict -- tomcat based -- my own ML-From-Scratch Description: This repository provides implementations of various machine learning algorithms from scratch in Python, without using libraries like Scikit-learn. It's educational and shows how algorithms like k-means clustering, decision trees, and linear regression work under the hood. Repository: ML-From-Scratch on GitHub You-Get Description: A simple and powerful tool for downloading media files from the web. It uses machine learning for analyzing and categorizing the downloaded media. Features: Supports various media sites, custom download options, and automated media organization. 3. OpenAI Gym Description: A toolkit for developing and comparing reinforcement learning algorithms. While not an end-user application,
OK, that didn't take long, the fork ran for htm.java numenta nupic So if you want to run with latest Java, Eclipse have it build, run the unit tests and run an integration, try the fork here: mvn compile exec:java https://github.com/berlinbrown/htm.java/blob/master/integration/testing/reports/BASIC-INTEGRATION-RUN.txt
Just testing the waters with #chatgpt and #llm and new prompts. Here is what I used recently. So if I look at llama2.c what is the transformer how do you move from programmer to ai data engineer I am a mathematican professor and have not been in school in a while, ask me a quetion to test my skills
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