What kind of improvements can you make? Are there template or system prompt changes that might help?
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Free Python Programming eBook: Practical Introduction for Data Science
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[Download 263-page PDF eBook] A Practical Introduction to #Python Programming: https://
brianheinold.net/python/A_Pract
ical_Introduction_to_Python_Programming_Heinold.pdf
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#DataScience #DataScientist #Coding #ComputationalScience #MachineLearning #ML -
Mathematical Theory of Deep Learning: Updated 282-Page PDF Guide
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[Download 282-page PDF. Updated version.]
Mathematical Theory of Deep Learning: http://
arxiv.org/abs/2407.18384
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#AI #ML #MachineLearning #DeepLearning #Mathematics #DataScience #DataScientist -
Introduction to Machine Learning: Free 674-Page PDF Textbook
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[Download 674-page PDF eBook] Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
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#MachineLearning #DeepLearning #AI #Mathematics #DataScience #DataScientist -
Local Tool Calling Solutions for LLM Applications
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I'm looking for a general solution that can work for anyone using widely available models – I want to tell users of my LLM tool that if they want to try local tool calling they should install model X and use it with tool Y
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Ollama: Open Source Local Language Model Execution Tool
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Interesting, sounds like this might be an Ollama thing
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Custom System Prompts for Local Model Tool Use on Ollama
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It's possible I just haven't been prompting them right, has anyone had success with custom system prompts for local model tool use on Ollama?
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Qwen 3 Coder Uses 20,000 Cloud Environments for Reinforcement Learning
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I thought it was very notable that the recent Qwen 3 Coder announcement mentioned running 20,000 environments in Alibaba Cloud for RL: https://
qwenlm.github.io/blog/qwen3-cod
er/
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Best Local Models for Tool Use on macOS
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What's the best local model you've managed to run on macOS for tool use, and how did you run it? I've not had great results from those I've tried on Ollama – even for very basic things (single calls) they often seem to forget to call them or forget to answer based on the result
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Kimi K2 with Groq: Interactive Mathematical Loop Animations
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Kimi K2 + @GroqInc vibe coding
— AK (@_akhaliq) 23 juillet 2025
a collection of hypnotic, infinite loop animations that are mathematically generated and fully interactive pic.twitter.com/sm7nlTYAOuKimi K2 + @GroqInc vibe coding a collection of hypnotic, infinite loop animations that are mathematically generated and fully interactive