These weaknesses are crucial to understand so you can know where you can build with and use LLM tools safely and appropriately in your workflows and what techniques you can use to address these issues.
CODE
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Prompt Writers Block: Definition and Causes in Vibe Coding
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Prompt writers block: prompt writers block is a temporary or prolonged period where a vibe coder struggles to write prompts, often emerging due to inability to understand the code which has already been vibe coded.
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Moonshot AI Launches Kimi-Dev-72B Open-Source Coding Model
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Moonshot AI launched Kimi-Dev-72B, a new open-source coding model for software engineering tasks It achieves SOTA results on SWE-bench Verified software tasks, surpassing open-source rivals like DeepSeek R1, V3, and Devstral
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MiniMax-M1: Open-Weight Hybrid-Attention LLM Drops
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Stop scrolling.
The world’s first open-weight hybrid-attention LLM is here—built to dominate long-context reasoning, code, and tool use. MiniMax-M1 just dropped.
This AI agent = Manus + Deep Research + Computer Use + Lovable.
1M token memory. Open weights. 5 wild examples + -
Josh recruited to work on Codex AI team
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DM Josh to work on the Codex team: https://
x.com/majoshma/statu
/majoshma/status/1934655710509641974
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3 Essential Books on Algorithmic Trading with Python
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3 Books on #AlgorithmicTrading with #Python 1) Cookbook with Recipes: https://
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… via @PacktDataML 2) With Machine Learning: https://
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machine-learning-for-algorithmic-trading-9781839217715?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B15439
… 3) Quantitative Methods: https://
amzn.to/3uvYlKk
…with GitHub code repository: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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Machine Learning with R: Fourth Edition Guide for Model Building
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#MachineLearning with R: Techniques for building & improving #ML models, from data prep to model tuning, evaluation, & working with data" [4th Edition, 762 pages]: https://
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… by @DataSpelunking via @PacktDataML #ad
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#Rstats #DataScience #Analytics #DataScientist -
Hands-On Genetic Algorithms with Python: Second Edition Guide
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Hands-On Genetic Algorithms with #Python — Apply genetic algorithms to solve real-world #AI and #MachineLearning problems [2nd Edition]: https://
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… via @PacktDataML #ad 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn how to implement genetic algorithms using Python libraries -
Hands-On AI for IoT: Expert Machine Learning and Deep Learning Techniques
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -
Deep Reinforcement Learning Hands-On Guide Third Edition
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Deep #ReinforcementLearning Hands-On — Practical easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: https://
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… [3rd Edition] v/ @PacktDataML ——
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn with