AI Weekly Update - January 31st, 2022

Thank you so much for watching, please subscribe for more Deep Learning and Ai videos! Please check out SeMI Technologies on YouTube as well, where I am hosting a podcast on Deep Learning for Search! Paper Links: Text and Code Embeddings by Contrastive Pre-Training: https://cdn.openai.com/papers/Text_and_Code_Embeddings_by_Contrastive_Pre_Training.pdf Introducing Text and Code Embeddings in the OpenAI API (Blog Post): https://openai.com/blog/introducing-text-and-code-embeddings/ Nils Reimers - OpenAI GPT-3 Text Embeddings - Really a new state-of-the-art in dense text embeddings? https://medium.com/@nils_reimers/openai-gpt-3-text-embeddings-really-a-new-state-of-the-art-in-dense-text-embeddings-6571fe3ec9d9 Training language models to follow instructions with human feedback: https://cdn.openai.com/papers/Training_language_models_to_follow_instructions_with_human_feedback.pdf Reasoning Like Program Executors: https://arxiv.org/pdf/2201.11473.pdf Synchromesh: Reliable Code Generation from Pre-Trained Language Models: https://arxiv.org/pdf/2201.11227.pdf Artefact Retrieval: Overview of NLP Models with Knowledge Base Access: https://arxiv.org/pdf/2201.09651.pdf GreaseLM: Graph Reasoning Enhanced Language Models for Question Answering: https://arxiv.org/pdf/2201.08860.pdf Relational Memory Augmented Language Models: https://arxiv.org/pdf/2201.09680.pdf CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search: https://arxiv.org/pdf/2201.10866.pdf Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models: https://arxiv.org/pdf/2201.10582.pdf Natural Language Descriptions of Deep Visual Features: https://arxiv.org/pdf/2201.11114.pdf Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers: https://arxiv.org/pdf/2102.00529.pdf Environment Generation for Zero-Shot Compositional Reinforcement Learning: https://arxiv.org/pdf/2201.08896.pdf AI in health and medicine: https://www.nature.com/articles/s41591-021-01614-0.pdf Chapt