Machine learning project

Sun May 28 2023

Links to articles I’ve found useful as I figure this LLM stuff out.

Introductions to Machine Learning

GitHub Repos

Wikipedia articles

Odd ends

Looking to research #ChatGPT services that allow you to create chatbots that can answer questions about specific information (e.g. #documentation ). I’ve found: Anything else you know about? Is there a good example of an open source GPT chat application A: Yes, there are several examples of open source GPT chat applications. Here are a few:

  1. ChatterBot - ChatterBot is a Python library that can be used to build conversational agents powered by GPT-2 or other natural language processing algorithms. It supports various conversational formats and can be used to create chatbots for different platforms such as Telegram, Facebook, Slack and more.
  2. Botpress - Botpress is an open source conversational AI platform that can be used to build chatbots for various platforms such as websites, Facebook, Slack, and more. It is powered by GPT-2 and other natural language processing algorithms and features a visual interface to create conversational workflows.
  3. Rasa - Rasa is an open source framework for building conversational AI applications for text and voice interfaces. It includes tools for building, training, and evaluating models powered by GPT and other machine learning algorithms. It also supports integration with different chat platforms such as Slack, Facebook Messenger, and more.
  4. DeepPavlov - DeepPavlov is an open source conversational AI framework that supports various NLP tasks such as intent recognition, entity extraction, and dialogue management. It is powered by GPT and other machine learning algorithms and features pre-trained models for various conversational scenarios such as customer support, chitchat, and more. These are just a few examples of open source GPT chat applications. There are many others available on GitHub and other open source platforms. Can you provide URLs? A: Certainly! Here are the URLs for the open source GPT chat applications mentioned in my previous response:
  5. ChatterBot:
  6. Botpress:
  7. Rasa:
  8. DeepPavlov:

Fine-tuning GPT-3 Using Python to Create a Virtual Mental Health Assistant Bot | by Amogh Agastya | Better Programming

Unleashing the Power of GPT-3: Fine-Tuning for Superhero Descriptions | by Olivier Caelen | Towards Data Science

imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks 800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases | Discover AI use cases

Getting Started with Hugging Face Transformers for NLP (see also /Users/philip/pyprojects/huggingfacetoy)

Hugging Face: Basic Task Tutorial for Solving Text Classification Issues

The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.

Cosine Similarity — Introduction and applications in NLP | by Alex Yeo | Medium

A Visual And Interactive Look at Basic Neural Network Math – Jay Alammar – Visualizing machine learning one concept at a time.

SoftmaxRegression: Multiclass version of logistic regression - mlxtend

A Visual and Interactive Guide to the Basics of Neural Networks – Jay Alammar – Visualizing machine learning one concept at a time.

Introduction to Machine Learning for Beginners | by Ayush Pant | Towards Data Science

Machine learning, explained | MIT Sloan

Phrases Jargon Words

  • Gradient descent
  • loss function
  • learning rate
  • perceptron
  • sigmoid neuron
  • weight
  • bias

from random screenshot

Tips & Tricks • use automatic1111 or Easy Diffusion (https:// diffusion-webui | cmdr2/stable-diffusion-ui) • Here are some instructions for installation and use: • use models from • negativ prompts are important • Modifier Studies: https:// 2b07d3195d5948c6a7e5836f9d535592?v • Artist Style Studies: https:// e28a4f8d97724f14a784a53868589e7d?v • Hires. fix! • for advanced, search for ControlNet • be creative and have fun robertlacok/datasciencenotebooks

Dummies guide to Cost Functions in Machine Learning [with Animation] - MLK - Machine Learning Knowledge

Building with Instruction-Tuned LLMs: A Step-by-Step Guide - YouTube

GitHub - FourthBrain/Building-with-Instruction-Tuned-LLMs-A-Step-by-Step-Guide: Resources relating to the DLAI event:

Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras - YouTube

wevi Word Embedding Visual Inspector

Neural Networks, Manifolds, and Topology – colah’s blog


A Neural Network Playground


Deep Learning with TensorFlow Playground | by Muhammad Rizwan Khan | DataDrivenInvestor

Reducing Loss: Playground Exercise  |  Machine Learning  |  Google for Developers

The Matrix Calculus You Need For Deep Learning

The Matrix Calculus You Need For Deep Learning

Jeremy’s course

Practical Deep Learning for Coders - Practical Deep Learning


word2vec Parameter Learning Explained