Updated task pages (#683)

merveenoyan · web-flow · commit 66b16437bc8f · 2023-02-17T13:40:11.000+01:00
* updated pages with recent goodies

* added ASR resources to text-to-speech
diff --git a/tasks/src/automatic-speech-recognition/about.md b/tasks/src/automatic-speech-recognition/about.md
@@ -68,4 +68,6 @@ These events help democratize ASR for all languages, including low-resource lang
 - [Boosting Wav2Vec2 with n-grams in 🤗 Transformers](https://huggingface.co/blog/wav2vec2-with-ngram)
 - [ML for Audio Study Group - Intro to Audio and ASR Deep Dive](https://www.youtube.com/watch?v=D-MH6YjuIlE)
 - [Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters](https://arxiv.org/pdf/2007.03001.pdf)
-- An ASR toolkit made by [NVIDIA: NeMo](https://github.com/NVIDIA/NeMo) with code and pretrained models useful for new ASR models. Watch the [introductory video](https://www.youtube.com/embed/wBgpMf_KQVw) for an overview.
+- An ASR toolkit made by [NVIDIA: NeMo](https://github.com/NVIDIA/NeMo) with code and pretrained models useful for new ASR models. Watch the [introductory video](https://www.youtube.com/embed/wBgpMf_KQVw) for an overview.
+- [An introduction to SpeechT5, a multi-purpose speech recognition and synthesis model](https://huggingface.co/blog/speecht5).
+- [A guide on Fine-tuning Whisper For Multilingual ASR with 🤗Transformers](https://huggingface.co/blog/fine-tune-whisper)
diff --git a/tasks/src/conversational/about.md b/tasks/src/conversational/about.md
@@ -33,5 +33,6 @@ converse([conversation_1, conversation_2])
 
 - Learn how ChatGPT and InstructGPT work in this blog: [Illustrating Reinforcement Learning from Human Feedback (RLHF)](https://huggingface.co/blog/rlhf)
 - [Reinforcement Learning from Human Feedback From Zero to ChatGPT](https://www.youtube.com/watch?v=EAd4oQtEJOM)
+- [A guide on Dialog Agents](https://huggingface.co/blog/dialog-agents)
 
 This page was made possible thanks to the efforts of [Viraat Aryabumi](https://huggingface.co/viraat).
diff --git a/tasks/src/document-question-answering/about.md b/tasks/src/document-question-answering/about.md
@@ -45,5 +45,6 @@ Would you like to learn more about Document QA? Awesome! Here are some curated r
 
 - [Fine-tuning Donut on DocVQA dataset](https://github.com/NielsRogge/Transformers-Tutorials/tree/0ea77f29d01217587d7e32a848f3691d9c15d6ab/Donut/DocVQA)
 - [Fine-tuning LayoutLMv2 on DocVQA dataset](https://github.com/NielsRogge/Transformers-Tutorials/tree/1b4bad710c41017d07a8f63b46a12523bfd2e835/LayoutLMv2/DocVQA)
+- [Accelerating Document AI](https://huggingface.co/blog/document-ai)
 
 The contents of this page are contributed by [Eliott Zemour](https://huggingface.co/eliolio) and reviewed by [Kwadwo Agyapon-Ntra](https://huggingface.co/KayO) and [Ankur Goyal](https://huggingface.co/ankrgyl).
diff --git a/tasks/src/image-segmentation/about.md b/tasks/src/image-segmentation/about.md
@@ -46,3 +46,5 @@ Would you like to learn more about image segmentation? Great! Here you can find
 
 - [Fine-Tune a Semantic Segmentation Model with a Custom Dataset](https://huggingface.co/blog/fine-tune-segformer)
 - [Walkthrough of Computer Vision Ecosystem in Hugging Face - CV Study Group](https://www.youtube.com/watch?v=oL-xmufhZM8)
+- [A Guide on Universal Image Segmentation with Mask2Former and OneFormer](https://huggingface.co/blog/mask2former)
+- [Zero-shot image segmentation with CLIPSeg](https://huggingface.co/blog/clipseg-zero-shot)
diff --git a/tasks/src/reinforcement-learning/about.md b/tasks/src/reinforcement-learning/about.md
@@ -68,5 +68,7 @@ Would you like to learn more about the topic? Awesome! Here you can find some cu
 - [Train a Deep Reinforcement Learning lander agent to land correctly on the Moon 🌕 using Stable-Baselines3](https://github.com/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb)
 - [Introduction to Unity MLAgents](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit4/unit4.ipynb)
 - [Training Decision Transformers with 🤗 transformers](https://github.com/huggingface/blog/blob/main/notebooks/101_train-decision-transformers.ipynb)
+- [Guide on Multi-Agent Competition Systems](https://huggingface.co/blog/aivsai)
+- [Illustrating Reinforcement Learning from Human Feedback (RLHF)](https://huggingface.co/blog/rlhf)
 
-This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol), [Sagar Mathpal](https://huggingface.co/sagarmathpal) and [Osman Alenbey](https://huggingface.co/osman93).
+This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol), [Sagar Mathpal](https://huggingface.co/sagarmathpal) and [Osman Alenbey](https://huggingface.co/osman93).
diff --git a/tasks/src/text-classification/about.md b/tasks/src/text-classification/about.md
@@ -140,6 +140,7 @@ Would you like to learn more about the topic? Awesome! Here you can find some cu
 
 - [Course Chapter on Fine-tuning a Text Classification Model](https://huggingface.co/course/chapter3/1?fw=pt)
 - [Getting Started with Sentiment Analysis using Python](https://huggingface.co/blog/sentiment-analysis-python)
+- [Sentiment Analysis on Encrypted Data with Homomorphic Encryption](https://huggingface.co/blog/sentiment-analysis-fhe)
 
 ### Notebooks
 
diff --git a/tasks/src/text-to-image/about.md b/tasks/src/text-to-image/about.md
@@ -30,5 +30,9 @@ You can add a small snippet [here](https://github.com/huggingface/hub-docs/blob/
 - [Text-to-Image Generation](https://huggingface.co/docs/diffusers/using-diffusers/conditional_image_generation)
 - [MinImagen - Build Your Own Imagen Text-to-Image Model](https://www.assemblyai.com/blog/minimagen-build-your-own-imagen-text-to-image-model/)
 - [OpenAI Blog - Dall E](https://openai.com/blog/dall-e/)
+- [Using LoRA for Efficient Stable Diffusion Fine-Tuning](https://huggingface.co/blog/lora)
+- [Using Stable Diffusion with Core ML on Apple Silicon](https://huggingface.co/blog/diffusers-coreml)
+- [A guide on Vector Quantized Diffusion](https://huggingface.co/blog/vq-diffusion)
+- [🧨 Stable Diffusion in JAX/Flax](https://huggingface.co/blog/stable_diffusion_jax)
 
 This page was made possible thanks to the efforts of [Ishan Dutta](https://huggingface.co/ishandutta), [Enrique Elias Ubaldo](https://huggingface.co/herrius) and [Oğuz Akif](https://huggingface.co/oguzakif).
diff --git a/tasks/src/text-to-speech/about.md b/tasks/src/text-to-speech/about.md
@@ -40,3 +40,5 @@ speech, *_ = model("text to generate speech from")
 
 ## Useful Resources
 - [ML for Audio Study Group - Text to Speech Deep Dive](https://www.youtube.com/watch?v=aLBedWj-5CQ)
+- [An introduction to SpeechT5, a multi-purpose speech recognition and synthesis model](https://huggingface.co/blog/speecht5).
+- [A guide on Fine-tuning Whisper For Multilingual ASR with 🤗Transformers](https://huggingface.co/blog/fine-tune-whisper)
