MAGIC
cappr
| MAGIC | cappr | |
|---|---|---|
| 2 | 4 | |
| 245 | 64 | |
| - | - | |
| 0.0 | 9.4 | |
| almost 2 years ago | 2 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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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
cappr
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Introducing CAPPr: a package to easily perform text classification using OpenAI models
GitHub
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[P] CAPPr: use OpenAI or HuggingFace models to easily do zero-shot text classification
While benchmarking this method on the infamous Winograd Schema Challenge, I ended up finding a 2018 paper1 w/ pretty much the same idea as CAPPr. The only difference is that CAPPr typically transposes that probability, and it naively incorporates a prior.
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Introducing CAPPr: use OpenAI or HuggingFace models to easily do zero-shot text classification
GitHub: https://github.com/kddubey/cappr
What are some alternatives?
Auto-GPT - Auto-GPT + CLIP vision for stable v0.3.1
zshot - Zero and Few shot named entity & relationships recognition
OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
zeroshot_topics - Topic Inference with Zeroshot models
CLIP-Caption-Reward - PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
GPT2-Chinese - Chinese version of GPT2 training code, using BERT tokenizer.
naturalspeech2-pytorch - Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
llm-client-sdk - SDK for using LLM
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]
DDNM - [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model