gpt2bot
RecipeGPT-exp
| gpt2bot | RecipeGPT-exp | |
|---|---|---|
| 1 | 1 | |
| 425 | 20 | |
| - | - | |
| 0.0 | 1.4 | |
| 2 months ago | 12 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpt2bot
-
Anyone knows how to do GPT3 persona?
Anyone knows how to do GPT3 persona? I am seeking a solution to apply GPT3 persona on DialogRPT (there is a bot based on it : https://github.com/polakowo/gpt2bot). I am willing to pay for this solution, thanks!
RecipeGPT-exp
-
Show HN: Ingredients for Change
Great question. Models for generating plausible recipes have existed in some form for about a decade now.
Arguably the first "successful" attempt at this was Chef Watson, which blew my mind when it was first released in 2014 despite it's well-documented tendency to suggest all kinds of spectacularly odd combinations of flavors and ingredients, like garlic ice cream and mayonnaise-spiked Bloody Marys[1].
It's worth noting that preprocessing the textual inputs isn't entirely necessary to produce somewhat reasonable, ML-generated recipes. For example GPT-3 is capable of generating fairly interesting zero-shot recipes, despite having been trained on raw text data without any preliminary feature selection to label (e.g.) a recipe's ingredients.[2] Still not exempt from the occasional wacky, whimsical suggestion[3], but I, for one, wouldn't want my ML-generated recipes any other way.
1. https://www.google.com/amp/s/www.newyorker.com/magazine/2016...
2. https://github.com/LARC-CMU-SMU/RecipeGPT-exp
3. https://thenextweb.com/news/ai-generated-recipes-three-cours...
What are some alternatives?
finetuned-qlora-falcon7b-medical - Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset
PyIng - Python module to parse ingredient names. Splitting them into the ingredient, unit and quantity. It is trained on a publicly available dataset using Tensorflow.
tensorflow-nanoGPT - Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving
ingredient-phrase-tagger - Extract structured data from ingredient phrases using conditional random fields
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
prompt-extend - extending stable diffusion prompts with suitable style cues using text generation
mgpt - Multilingual Generative Pretrained Model
metric-cooking - Browser script that annotates US cooking units with their metric equivalent (e.g. 1 3/4 cups sugar [350 g])
elon-bot - Discord AI bot capable of chatting and moderating, trained on conversation transcripts of Elon Musk
zestful-client