#ai
felladrin/awesome-ai-web-search: A list of software that allows searching the web with the assistance of AI.
https://github.com/felladrin/awesome-ai-web-search
felladrin/awesome-ai-web-search: A list of software that allows searching the web with the assistance of AI.
https://github.com/felladrin/awesome-ai-web-search
GitHub
GitHub - felladrin/awesome-ai-web-search: List of software that allows searching the web with the assistance of AI: https://hfโฆ
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search - felladrin/awesome-ai-web-search
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#academia
Leading 200 science cities | | Supplements | Nature Index
https://www.nature.com/nature-index/supplements/nature-index-2024-science-cities/tables/overall
Leading 200 science cities | | Supplements | Nature Index
https://www.nature.com/nature-index/supplements/nature-index-2024-science-cities/tables/overall
Nature
Leading 200 science cities | | Supplements | Nature Index
The Nature Index tracks the affiliations of high-quality scientific articles. Updated monthly, the Nature Index presents research outputs by institution and country. Use the Nature Index to interrogate publication patterns and to benchmark research performance.
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a-new-golden-age-of-discovery_nov-2024.pdf
1.4 MB
#ai
DeepMind published this report about the different aspects of AI for scientific discovery.
For example, they proposed five areas to use AI:
1. Knowledge: Transform how scientists digest and communicate knowledge
2. Data: Generate, extract, and annotate large scientific datasets
3. Experiments: Simulate, accelerate and inform complex experiments
4. Models: Model complex systems and how their components interact
5. Solutions: Identify novel solutions to problems with large search spaces
DeepMind published this report about the different aspects of AI for scientific discovery.
For example, they proposed five areas to use AI:
1. Knowledge: Transform how scientists digest and communicate knowledge
2. Data: Generate, extract, and annotate large scientific datasets
3. Experiments: Simulate, accelerate and inform complex experiments
4. Models: Model complex systems and how their components interact
5. Solutions: Identify novel solutions to problems with large search spaces
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#visualization
Plotly will supports polars natively in v6 .
https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0
Plotly will supports polars natively in v6 .
https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0
GitHub
Release v6.0.0rc0 ยท plotly/plotly.py
Added
Add plotly[express] extra for easily installing Plotly Express dependencies [#4644]
Add subtitle attribute to all Plotly Express traces [#4830].
Removed
Drop deprecated pointcloud and heat...
Add plotly[express] extra for easily installing Plotly Express dependencies [#4644]
Add subtitle attribute to all Plotly Express traces [#4830].
Removed
Drop deprecated pointcloud and heat...
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#ai
Funny article
On Chomsky and the Two Cultures of Statistical Learning
https://norvig.com/chomsky.html
Funny article
On Chomsky and the Two Cultures of Statistical Learning
https://norvig.com/chomsky.html
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#misc
24k lines of code developed on a phone.
https://github.com/OXY2DEV/markview.nvim/issues/216#issuecomment-2522260393
24k lines of code developed on a phone.
https://github.com/OXY2DEV/markview.nvim/issues/216#issuecomment-2522260393
GitHub
โจ Feature: API to enable for specific buffer/win? ยท Issue #216 ยท OXY2DEV/markview.nvim
The nature of the feature: Parser(syntax, conceal etc. related) Renderer(style, options etc. related) Support(plugin support, language support etc. related) Other Description: Hi again @OXY2DEV! Wo...
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#misc
Nobody taught her morals and values.
It's easy to just select evidence to support one's bias. But it's lazy and wrong.
https://x.com/ZhiyuChen4/status/1867749127792050342?t=MkqRyiGZIZPuApRZCFfcGQ&s=19
Nobody taught her morals and values.
It's easy to just select evidence to support one's bias. But it's lazy and wrong.
https://x.com/ZhiyuChen4/status/1867749127792050342?t=MkqRyiGZIZPuApRZCFfcGQ&s=19
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#misc
Alex Immerman on X: "Waymo's market share is now equal to Lyft within SF. Incredible. Network effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing. You need a minimum network size, but once you have that, there are diminishing returns. In https://t.co/0l0fKk9qoC" / X
https://x.com/aleximm/status/1867257473671082356
Alex Immerman on X: "Waymo's market share is now equal to Lyft within SF. Incredible. Network effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing. You need a minimum network size, but once you have that, there are diminishing returns. In https://t.co/0l0fKk9qoC" / X
https://x.com/aleximm/status/1867257473671082356
X (formerly Twitter)
Alex Immerman (@aleximm) on X
Waymo's market share is now equal to Lyft within SF. Incredible.
Network effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing.
You need a minimum network size, but once you have that, there are diminishingโฆ
Network effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing.
You need a minimum network size, but once you have that, there are diminishingโฆ
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smol-course/8_agents at main ยท huggingface/smol-course
https://github.com/huggingface/smol-course/tree/main/8_agents
https://github.com/huggingface/smol-course/tree/main/8_agents
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#ai
I'm also a firm believer of it. Keep the foundation simple and build on top of the foundation.
https://youtu.be/vRTcE19M-KE?si=cdpZ9_nRcaYu4zOa
I'm also a firm believer of it. Keep the foundation simple and build on top of the foundation.
https://youtu.be/vRTcE19M-KE?si=cdpZ9_nRcaYu4zOa
YouTube
Stanford Webinar - Large Language Models Get the Hype, but Compound Systems Are the Future of AI
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai
In recent years AI has taken center stage with the rise of Large Language Models (LLMs) that can be used to perform a wide range of tasks, from questionโฆ
In recent years AI has taken center stage with the rise of Large Language Models (LLMs) that can be used to perform a wide range of tasks, from questionโฆ
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