CoolFace
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awacke1/QuickLearner

sourceHugging Facemitupdated 3y agoView on Hugging Face
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app.py53 linesDownload Raw Back to root
1import streamlit as st2 3st.markdown(4    '''5    6    - In the realm of patents, there's a place to be,\7    - A search engine that indexes them for you and me.\8    - [Google Patents](https://patents.google.com/) is its name,\9    - With keywords, numbers, and inventors, you'll find your claim.10    - From USPTO, EPO, and WIPO, it draws its lore,\11    - Abstracts, images, citations, it has much in store.\12    - So, venture forth, my friend, and see what you can find,\13    - In this patent world, where innovation's intertwined.14    - For those seeking knowledge of the U.S. patents' tale,\15 16    - The [USPTO Database](https://patft.uspto.gov/) will lift the veil.\17    - Full-text search capabilities, and images, you'll see,\18    - Uncover the inventions granted by the USPTO decree.19    - Title, abstract, claims, and more, search with ease,\20    - Inventors, assignees, classification codes, if you please.\21    - A wealth of information, in this database you'll find,\22    - A world of innovation, creativity combined.23 24    - The [EPO Espacenet](https://worldwide.espacenet.com/), a platform so grand,\25    - Over 120 million patent documents, at your command.\26    - EPO, USPTO, WIPO, and national offices too,\27    - A treasure trove of knowledge, waiting there for you.28 29    - Search with publication number, inventor, applicant, or code,\30    - Advanced features let you refine the search mode.\31    - Specific phrases or exclude terms, it's all within your reach,\32    - In Espacenet, a world of patents, there to teach.33 34 35 36๐Ÿค–๐Ÿงช๐ŸŒ37- ๐Ÿ”ฌ๐Ÿง ๐Ÿ’ก: RLHF & LAFAND-MT โžก๏ธ Efficient, accurate & flexible AI/ML systems38- ๐Ÿ“š๐Ÿ’ฌ๐Ÿ†: Lambada benchmark โžก๏ธ Advanced NLP & NLU understanding39- ๐Ÿ”๐Ÿ“–๐Ÿ”Š: MNLI (Text Inference) vs MMLU (Multimodal Understanding)40- ๐Ÿ‹๏ธ๐ŸŒ๐Ÿค”: AGI challenges โžก๏ธ Generalization, computation, ethics41- ๐Ÿ•ต๏ธ๐Ÿ”Ž๐Ÿงก: Interpretability, transparency & ethics in AI42- ๐ŸŽ“๐ŸŽฎ๐Ÿค–: Reinforcement learning โžก๏ธ Evolution & role in complex AI43- ๐Ÿšง๐Ÿ”œ๐ŸŒŒ: Limitations & future research for AGI44- ๐Ÿงฉ๐Ÿค๐Ÿš€: Integrating AI architectures โžก๏ธ Holistic & robust AI/ML systems45- ๐ŸŒŸ๐ŸŒ๐Ÿ’ผ: Promising applications & positive societal impact46- ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“š๐Ÿ”ง: Evolving role of AI/ML engineer & Chief Scientist47 48 49 50    51    '''52)53