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Update app.py

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  1. app.py +38 -39
app.py CHANGED
@@ -2,49 +2,48 @@ import streamlit as st
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  st.markdown(
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  '''
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- In the realm of patents, there's a place to be,\
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- A search engine that indexes them for you and me.\
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- [Google Patents](https://patents.google.com/) is its name,\
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- With keywords, numbers, and inventors, you'll find your claim.
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-
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- From USPTO, EPO, and WIPO, it draws its lore,\
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- Abstracts, images, citations, it has much in store.\
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- So, venture forth, my friend, and see what you can find,\
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- In this patent world, where innovation's intertwined.
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-
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- For those seeking knowledge of the U.S. patents' tale,\
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- The [USPTO Database](https://patft.uspto.gov/) will lift the veil.\
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- Full-text search capabilities, and images, you'll see,\
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- Uncover the inventions granted by the USPTO decree.
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-
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- Title, abstract, claims, and more, search with ease,\
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- Inventors, assignees, classification codes, if you please.\
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- A wealth of information, in this database you'll find,\
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- A world of innovation, creativity combined.
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-
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- The [EPO Espacenet](https://worldwide.espacenet.com/), a platform so grand,\
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- Over 120 million patent documents, at your command.\
27
- EPO, USPTO, WIPO, and national offices too,\
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- A treasure trove of knowledge, waiting there for you.
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-
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- Search with publication number, inventor, applicant, or code,\
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- Advanced features let you refine the search mode.\
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- Specific phrases or exclude terms, it's all within your reach,\
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- In Espacenet, a world of patents, there to teach.
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  ๐Ÿค–๐Ÿงช๐ŸŒ
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- ๐Ÿ”ฌ๐Ÿง ๐Ÿ’ก: RLHF & LAFAND-MT โžก๏ธ Efficient, accurate & flexible AI/ML systems
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- ๐Ÿ“š๐Ÿ’ฌ๐Ÿ†: Lambada benchmark โžก๏ธ Advanced NLP & NLU understanding
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- ๐Ÿ”๐Ÿ“–๐Ÿ”Š: MNLI (Text Inference) vs MMLU (Multimodal Understanding)
41
- ๐Ÿ‹๏ธ๐ŸŒ๐Ÿค”: AGI challenges โžก๏ธ Generalization, computation, ethics
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- ๐Ÿ•ต๏ธ๐Ÿ”Ž๐Ÿงก: Interpretability, transparency & ethics in AI
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- ๐ŸŽ“๐ŸŽฎ๐Ÿค–: Reinforcement learning โžก๏ธ Evolution & role in complex AI
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- ๐Ÿšง๐Ÿ”œ๐ŸŒŒ: Limitations & future research for AGI
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- ๐Ÿงฉ๐Ÿค๐Ÿš€: Integrating AI architectures โžก๏ธ Holistic & robust AI/ML systems
46
- ๐ŸŒŸ๐ŸŒ๐Ÿ’ผ: Promising applications & positive societal impact
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- ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“š๐Ÿ”ง: Evolving role of AI/ML engineer & Chief Scientist
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  st.markdown(
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  '''
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+
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.
 
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34
 
35
 
36
  ๐Ÿค–๐Ÿงช๐ŸŒ
37
+ - ๐Ÿ”ฌ๐Ÿง ๐Ÿ’ก: RLHF & LAFAND-MT โžก๏ธ Efficient, accurate & flexible AI/ML systems
38
+ - ๐Ÿ“š๐Ÿ’ฌ๐Ÿ†: Lambada benchmark โžก๏ธ Advanced NLP & NLU understanding
39
+ - ๐Ÿ”๐Ÿ“–๐Ÿ”Š: MNLI (Text Inference) vs MMLU (Multimodal Understanding)
40
+ - ๐Ÿ‹๏ธ๐ŸŒ๐Ÿค”: AGI challenges โžก๏ธ Generalization, computation, ethics
41
+ - ๐Ÿ•ต๏ธ๐Ÿ”Ž๐Ÿงก: Interpretability, transparency & ethics in AI
42
+ - ๐ŸŽ“๐ŸŽฎ๐Ÿค–: Reinforcement learning โžก๏ธ Evolution & role in complex AI
43
+ - ๐Ÿšง๐Ÿ”œ๐ŸŒŒ: Limitations & future research for AGI
44
+ - ๐Ÿงฉ๐Ÿค๐Ÿš€: Integrating AI architectures โžก๏ธ Holistic & robust AI/ML systems
45
+ - ๐ŸŒŸ๐ŸŒ๐Ÿ’ผ: Promising applications & positive societal impact
46
+ - ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“š๐Ÿ”ง: Evolving role of AI/ML engineer & Chief Scientist
47
 
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