4) The first work that systematically studies the impact of code in pretraining, inspired by Yoav Goldberg and Yao Fu’s assumptions
MACHINE LEARNING
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Code Properties Enhancing Natural Language Task Performance
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3) What are the main properties of code that contribute to the improvement in performance on natural language tasks?
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Generating High-Quality Synthetic Code Data for Pretraining
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2) How can we generate high-quality synthetic code data to assist in pretraining?
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Code Pretraining Impact on Multilingual Language Models
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Tune into the excellent discussion on our most actively discussed paper this week: To Code, or Not to Code! Here are the top 5 comments/questions! Thanks again @viraataryabumi and team! 1) How does pretraining on code data impact performance on non-English downstream tasks?
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LLMs struggle counting tokens without Chain-of-Thought or tools
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What I'm disputing is the specific, but I think common, misconception that of course any LLM could count *tokens* easily; it's just that tokenization makes letters unnecessarily hard. Without CoT or tools, LLMs are just bad at counting.
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Artificial Intelligence Impact on Manufacturing Operations
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Artificial Intelligence And Its Impact On Manufacturing Operations
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/f4n730sGwQ9 -
Acknowledgments for fine-tuning and API deployment on Replicate
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Thank you Pierrick, and really thank you flux-schnell for the fine-tuning and the immense gain achieved by deploying an API on Replicate.
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Hugging Face Daily Papers API for Research Paper Updates
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there is an api: https://
huggingface.co/api/daily_pape
rs
… more info: -
LLM Evaluation Methods and Future AI Development Implications
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🎥 Watch as we dive into the world of #AI & cover:
— SambaNova (@SambaNovaAI) 20 septembre 2024
✅ How does the industry evaluate #LLMs today?
✅ Why use LLMs to evaluate other AI models?
✅ Why is this important?
✅ Future implications for AI development.
Accelerate your dev journey with: ➡️ https://t.co/GgqtX917iq pic.twitter.com/Vr7aE0i1znWatch as we dive into the world of #AI & cover: How does the industry evaluate #LLMs today? Why use LLMs to evaluate other AI models? Why is this important? Future implications for AI development. Accelerate your dev journey with: https://
cloud.sambanova.ai
