44 lines
3.2 KiB
Markdown
44 lines
3.2 KiB
Markdown
icon:: ✏️
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generation_time:: [[2026-01-24]] T21:54:54Z
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- # **TODOs and IDEAs**
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- {{query (and [[TODO]] [[KaraKeep-Highlights]] (or [[Ideas]] [[KaraKeep-Highlights]]))}}
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query-table:: true
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query-properties:: [:block]
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- ## **How Agent Handoffs Work in Multi-Agent Systems | Towards Data Science**
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source:: https://search.app/TLKfg
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url:: https://karakeep.diruscio.org/dashboard/preview/biijh0k3p2kzivskr2b16t1c
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tags:: [[Artificial Intelligence]] [[Multi-Agent Systems]] [[agent handoffs]] [[large language models]] [[workflow orchestration]]
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- Conditional edges
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background-color:: blue
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- ## **GitHub - muratcankoylan/Agent-Skills-for-Context-Engineering: A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.**
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source:: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
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url:: https://karakeep.diruscio.org/dashboard/preview/mujjzfwwjb2xbqiugz3i92nv
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tags:: [[AI System Optimization]] [[Agent Architectures]] [[Artificial Intelligence]] [[Context Engineering]] [[Multi-Agent Systems]] [[agent skills]]
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- Effective context engineering means finding the smallest possible set of high-signal tokens that maximize the likelihood of desired outcomes.
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background-color:: blue
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- > **Note:** #card
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- ## **“Vibe Coding”: The Future of Development or a Generational Divide? | CodeGPT**
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source:: https://www.codegpt.co/blog/vibe-coding-future-or-hype
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url:: https://karakeep.diruscio.org/dashboard/preview/osk8ozdguev9vbkw6ufwgesi
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tags:: [[AI-Assisted-Coding]] [[Artificial Intelligence]] [[Programming-Productivity]] [[Software Development]] [[Tech-Industry-Trends]]
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- From Meme to Mainstream: Defining the Phenomenon
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background-color:: green
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- > **Note:** This is related to [[PAPERS/J-Collaborative-Development]]
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- ## **L’eclissi del pensiero critico? Intelligenza Artificiale, debito cognitivo e responsabilità**
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source:: https://www.quotidianosanita.it/uncategorized/leclissi-del-pensiero-critico-intelligenza-artificiale-debito-cognitivo-e-responsabilita/
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url:: https://karakeep.diruscio.org/dashboard/preview/q145b7y1pzntp7p8rcnkuwvy
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tags:: [[Artificial Intelligence]] [[Cognitive-Science]] [[Critical-Thinking]] [[Human-Computer-Interaction]] [[Medical-Education]]
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- Il modello cyborg, invece, prevede un’integrazione molto più stretta, con una co-produzione continua tra umano e IA, particolarmente efficiente per attività ripetitive e a basso rischio ma esposta al rischio di deskilling e dipendenza.
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background-color:: yellow
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- ## **Machine Learning Model Development and Model Operations: Principles and Practices - KDnuggets**
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source:: https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html
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url:: https://karakeep.diruscio.org/dashboard/preview/q984a0m36auekgemwpga0ybi
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tags:: [[MLOps]] [[Machine Learning]] [[data science]] [[model development]] [[model operations]]
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- In some cases, a set of dummy variables or derived variables are created, especially in handling ‘date’ data types.
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background-color:: green
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