Generate imaginary profile through open-source machine learning models
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Updated
Dec 24, 2022 - Python
Generate imaginary profile through open-source machine learning models
Production http server for our finetuned gpt-j model gptj-title-teaser-10k.
A simple Python program to bulk write content using the open source GPT-J-6B language.
Title and teaser generation for journalistic texts.
This repository contains files for the Auto911 GPT-J based emergency response solution.
Fine-tune GPTJ for text generation task
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
Training transformer models (e.g. RoBERTa, GPT2 and GPT-J) from scratch.
Natural language model AI via HTTP
Vietnamese GPT-J API service deployed with Docker & Helm chart
GPT-J 6B inference on TensorRT with INT-8 precision
Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.
Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for free in a Google Colab TPU instance
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models
telegram bot for self-hosted local inference of stable diffusion, text-to-speech and large language models, such as llama3
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
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