A simple demo of my "instruction template" method of prompting GPT-3, generating a Python 3 module using placeholders and notes within a template that contains only a single line of actual Python:
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Implementing a Python Guess Function using GPT-3
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Using GPT-3 to implement a `guess()` function in Python that returns whatever string seems reasonable for the context in which the function was called.
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Complex GPT-3 Prompting Technique for MD5 Hash Determination
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A GPT-3 prompt in instruction-templated Python yielding a valid Python completion that prompts GPT-3 again, using zero-shot chain-of-thought consensus, to determine the final character of the MD5 hash of the final digit of the release year of the album "Visions" by @Grimezsz
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AI Research Paper and Demo on Informative Drawings
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demo: https://
huggingface.co/spaces/carolin
eec/informativedrawings
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github: https://
github.com/carolineec/inf
ormative-drawings
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paper: https://
arxiv.org/abs/2203.12691 -
3000 commits and 500 new contributors in 2022
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There were almost 3,000 commits to the main branch in 2022! This wouldn't have been possible without the whole community: half the new architectures were added by external contributors and we had more than 500 new contributors.
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OpenAI Whisper Speech Recognition Model Added to Hugging Face
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In October, Whisper, a state-of-the-art audio model from @OpenAI for speech recognition was added to the library. https://
huggingface.co/docs/transform
ers/model_doc/whisper
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Transformers Named Most Loved Framework in Stack Overflow Survey
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For the second year, Transformers was voted the most loved framework in Stack Overflow survey https://
survey.stackoverflow.co/2022 -
LayoutLM v3 Multimodal Model Added for Document Analysis
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LayoutLM v3 (also from @MSFTResearch
) was added to the library in June. It is a multimodal model combining vision and text for document analysis. -
Swin Transformer Vision Model for Image Classification Detection
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Swin Transformer is a vision model from @MSFTResearch added back in January, which can be used as backbone for a variety of tasks such as image classification, object detection or semantic segmentation. https://
huggingface.co/docs/transform
ers/model_doc/swin
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Doubling AI Model Architectures: New Audio, Vision and Multimodal Models
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We doubled the number of architectures (89 to 167) with new models in audio, text, vision, multiple modalities or even time seriesand protein folding Here are a few highlights in the most used of those new models