aitextgen
askai
aitextgen | askai | |
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19 | 1,748 | |
1,826 | 86 | |
- | - | |
1.8 | 10.0 | |
10 months ago | over 1 year ago | |
Python | TypeScript | |
MIT License | - |
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aitextgen
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Where is the engineering part in "prompt engineer"?
It's literally a wrapper for the ChatGPT API (currently). I have another library for training models from scratch but haven't had time to work on it.
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self-hosted AI?
I'm experimenting with https://github.com/minimaxir/aitextgen for some some simple tasks. It is pretty much a wrapper around gpt2 and gpt neox models.
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How would I go about implementing warmup steps from the Transformers library?
I'm sorry if this is the wrong place to ask, but I wasn't sure where else to turn. Several of us have already opened an issue with AITextGen, but it seems that the maintainer isn't particularly active these days. I'm a fairly proficient developer (self-taught), and I know my way around ML, but I was not formally-educated in deep learning. A lot of Pytorch-Lightning looks like black magic, to me. I suspect that I'm missing an important detail that would be fairly simple for many of you to identify.
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NanoGPT
To train small gpt-like models, there's also aitextgen: https://github.com/minimaxir/aitextgen
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Neuro-sama sings "Take On Me" with her Angelic Voice
It's actually relatively easy to train your own GPT model and there are multiple tools out there that make it almost just plug and play: https://github.com/minimaxir/aitextgen
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Is there a place with all the models indexed?
I've been learning python and for the past few days, I've been playing around with the aitextgen library.
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I built an AI model to auto-generate Dominion cards. Here are the hilariously bad results.
Then I ran that through the ai and got it to spit out cards that looked like that training data. I used aitextgen. So I let it run for like 4 hours and it thinks it has made 10,000 rows of cards. But some of these cards are duplicates to each other or to cards that already exist, or use a card name that already exists in the original game, or have like 20 '|' characters in one row, or have zero '|'. So I run a script to remove all of these cards like that, and I end up with like 2,000-4,500 cards that are "functional".
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Thoughts on GPT3?
If you search this subreddit, you should find lots of discussions about it, as well as alternatives like GPT-J (open source). If you'd like to experiment with GPT-2 for text generation, try https://github.com/minimaxir/aitextgen. It's fun to play with.
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Show HN: Tensorpedia – Using GPT-2 to synthesize Wikipedia articles
Hey HN! I've been lurking for a while now and I've finally created something that I feel is worth sharing.
I've called this project "Tensorpedia." At its core, Tensorpedia takes in a title and utilizes it as a prompt for GPT-2 to synthesize the introductory part of a Wikipedia article. The machine learning stuff is written using a wonderful library called aitextgen [0], using Wikipedia's "Vital Articles" as a data set [1]. The server is written in Node, and it uses Redis as an article cache. If you want to read my article about it (for some reason), you can check it out here [2].
I created this project to get more experience with server technologies. While I wouldn't say it's a complicated application, I learned quite a lot from it.
Additionally, as I was inspired by all of those this-x-doesn't-exist projects from a while back, this project is mostly for fun. As such, I don't know how much practical use it has, but I've generated some pretty hilarious articles from it.
[0] https://github.com/minimaxir/aitextgen
[1] https://en.wikipedia.org/wiki/Wikipedia:Vital_articles/Level...
[2] https://jonahsussman.net/posts/2022-01-this-wiki-dne/
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Downloaded GPT-2, Encode.py, and Train.py not found.
If by downloaded you mean clone the gpt-2 github repo it doesn't come with those scripts. I personally played around with https://github.com/minimaxir/aitextgen which is a simple wrapper around the gpt-2 code, it comes with some very clear usage. (Shout out to minimaxir and everyone else involved in aitextgen for making using gpt-2 easy to use!)
askai
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Building a Basic Forex Rate Assistant Using Agents for Amazon Bedrock
After wrestling with it for a bit and eventually giving up, I instead turned to ChatGPT to see if it is smart enough for the task. With my free plan, I asked ChatGPT 3.5 the following:
- Learn to ask for help
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How to build a custom GPT: Step-by-step tutorial
Go to chat.openai.com and log in
- Chat.openai.com no longer requires login
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Integrating Strapi with ChatGPT and Next.js
In this tutorial, we will learn how to use Strapi, ChatGPT, and Next.js to build an app that displays recipes using AI.
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GPT-4 Turbo with Vision is a step backwards for coding
Maybe I am bit dim, but how one can choose GPT-4 Turbo? Is this available from https://chat.openai.com/ ?
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AI Developer Tool Limitations In 2024
With the rise of ChatGPT, Bard Gemini, GitHub Copilot, Devin, and other AI tools1, developers started to fear that AI tooling would replace them. Even though their capabilities are indeed impressive, I don't fear our jobs will go away in 2024.
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Data-driven customer acquisition: Machine Learning applied to Customer Lifetime Value
To illustrate the core concepts of ML and regression analysis, we’ll start with a simple model. ChatGPT (the free version) creates something that works with this prompt:
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From 12th Final Project to an ATM Management System: Leveraging ChatGPT 4 for PDF Analysis
Fast forward to my college years. I found myself at IIIT Delhi, a prestigious tier 1 computer science engineering college. Around the same time, ChatGPT emerged, shaking the world more vigorously than COVID-19. As fate would have it, I gained temporary access to ChatGPT 4 which runs on GPT 4, and curiosity piqued my interest.
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📊 Obsidian: Nutrition
It is worth mentioning that for my use case, I do not require a high level of precision, so I obtain the values with an AI. I describe the recipe and portions to ChatGPT, and it provides me with a very good estimate of the nutritional information of the meal.
What are some alternatives?
lm-evaluation-harness - A framework for few-shot evaluation of language models.
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
DiscordChatAI-GPT2 - A chat AI discord bot written in python3 using GPT-2, trained on data scraped from every message of my discord server (can be trained on yours too)
gpt-4chan-model
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
openai-cookbook - Examples and guides for using the OpenAI API
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ai-cli - Get answers for CLI commands from ChatGPT right from your terminal
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
KoboldAI-Client
trump_gpt2_bot - aitextgen (aka GPT-2) Twitter bot
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.