Auto-GPT
MAGIC
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Auto-GPT
MAGIC
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What if TTI was ran backwards? Like showing an image and asking what prompt it would need and conditions (temperature, top_k, etc) to generate that image. This might give us a better glimpse at how it wants to receive prompts.
yeah you could force a model to try to fill in a provided prompt template like that. Check this out: https://github.com/yxuansu/MAGIC
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Cambridge AI Researchers Propose ‘MAGIC’: A Training-Free Framework That Plugs Visual Controls Into The Generation Of A Language Model
Github: https://github.com/yxuansu/magic
What are some alternatives?
mPLUG-Owl - mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model
OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
CLIP-Caption-Reward - PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)
pautobot - 🔥 Your private task assistant with GPT 🔥 (1) Ask questions about your documents. (2) Automate tasks.
GPT2-Chinese - Chinese version of GPT2 training code, using BERT tokenizer.
YiVal - Your Automatic Prompt Engineering Assistant for GenAI Applications
cappr - Completion After Prompt Probability. Make your LLM make a choice
igogpt - AutoGPT and other GPT and AI tools written in Golang
CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
awesome-open-gpt - Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
InternChat - InternGPT / InternChat allows you to interact with ChatGPT by clicking, dragging and drawing using a pointing device. [Moved to: https://github.com/OpenGVLab/InternGPT]