just saw the shout out to the Open LLM Leaderboard from @Jason in the latest @theallinpod podcast E129 https://
youtube.com/watch?v=C762HW
Sz67w&t=972s
… on how open-source and transparency are super strong catalysts to foster innovation and trust
LLMS
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Open LLM Leaderboard promotes transparency and innovation in AI
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Misleading AI Benchmarks and Curated Prompt Engineering
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"carefully curated prompts and responses"
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I've found benchmarks in this space considerably misleading. I'd love to use it. -
LLMs as Advanced Editors: Exploring Beyond Basic Usage
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yeah nothing wrong with using it the first way, LLMs serve as the primary editor for my newsletter lol but this test is mainly to highlight that most don't think to explore the next level
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Data Visualization in the Age of Automation
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Chart Chat #40: Data Visualization in the Age of Automation https://
bit.ly/3MniO9t #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Monic.ai: Customizable AI Study Tool Using GPT-4
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http://
Monic.ai: Customizable AI study tool MonicAi allows users to easily upload study materials and instantly generate customized assessments and flashcards using GPT-4. It incorporates spaced repetition and simulated exams to enhance studying effectiveness/efficiency -
Transformers from Scratch: Building Deep Learning Models
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Transformers from Scratch https://
bit.ly/3MoSkVl #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Poe for Android Launches Free AI Chat Access
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Introducing Poe for Android! Poe is the easiest and fastest way to chat with AI including ChatGPT, Anthropic’s Claude instant, and a variety of user-created bots for free.
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GPT-4 and Claude+ Now Available on Android via Poe
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Access to GPT-4 and Claude+ is also available on Android immediately but temporarily requires subscribing on the web interface at http://
poe.com. You can install Poe on Android from https://
play.google.com/store/apps/det
ails?id=com.poe.android
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XTREME-UP: Advancing AI for Under-Represented Languages
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XTREME-UP (Under-Represented and User-Centric with Paucal Data) is distinguished by its (i) use of scarce-data, (ii) user-centric design, and (iii) focus on under-represented languages. (2/3)
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Google Releases XTREME-UP Multilingual Model Evaluation Benchmark
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With the rapid development of language technology, it’s important that as many languages as possible benefit from these technologies, so we’re sharing XTREME-UP, a benchmark for evaluating multilingual models. https://
goo.gle/xtreme-up-paper https://
github.com/google-researc
h/xtreme-up
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