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how to use AI
📘 how to use AI
how to use LLM, AI guide
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116
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🏫
Ramkhamhaeng
arXiv
·
6d
6 days ago
LLM-as-Judge
in Education: A Curriculum-Grounded Marking Pipeline
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Actions for LLM-as-Judge in Education: A Curriculum-Grounded Marking Pipeline
🤯
over-the-top
Hardware Secrets
·
1d
1 day ago
5 ChatGPT and
Prompt
Engineering
Courses That Help You Learn
AI
the Practical Way
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Actions for 5 ChatGPT and Prompt Engineering Courses That Help You Learn AI the Practical Way
🐍
Python
GitHub
·
5h
5 hours ago
ExoModel – the object calls the
LLM
; you just describe what you want
Discussed on
Hacker News
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Actions for ExoModel – the object calls the LLM; you just describe what you want
🏫
Ramkhamhaeng
medium.com
·
9h
9 hours ago
Prompt
Engineering
:
AI
Security Tryhackme Walkthrough
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Actions for Prompt Engineering : AI Security Tryhackme Walkthrough
📋
Report
m.okjike.com
·
1d
1 day ago
推荐这篇文章，作者完整展示了怎么用
LLM
做一个真正好用的个人工具，重要的是，他展示了如何让
LLM
取代那些你之前觉得不好用的产品，服务，非常值得参考。 作...
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Actions for 推荐这篇文章，作者完整展示了怎么用 LLM 做一个真正好用的个人工具，重要的是，他展示了如何让 LLM 取代那些你之前觉得不好用的产品，服务，非常值得参考。 作...
🏫
Ramkhamhaeng
medium.com
·
40m
40 minutes ago
Supply Chain of the Mind: Design Patterns for Just-In-Time Context Pipelines in
LLM
Operations
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Actions for Supply Chain of the Mind: Design Patterns for Just-In-Time Context Pipelines in LLM Operations
🏫
Ramkhamhaeng
medium.com
·
4d
4 days ago
What I Learned Building a RAG System from Scratch: Lessons from the Trenches
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Actions for What I Learned Building a RAG System from Scratch: Lessons from the Trenches
🏫
Ramkhamhaeng
medium.com
·
16h
16 hours ago
Prompt
Engineering
: The Skill That Separates Average
AI
Users from Expert Practitioners
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Actions for Prompt Engineering: The Skill That Separates Average AI Users from Expert Practitioners
🏫
Ramkhamhaeng
medium.com
·
6d
6 days ago
Mastering LLMs and
Prompt
Engineering
: A Cybersecurity Professional’s
Guide
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Actions for Mastering LLMs and Prompt Engineering: A Cybersecurity Professional’s Guide
🏫
Ramkhamhaeng
arXiv
·
14h
14 hours ago
LLM-Aided
A* Search in Non-Geometric Network Graphs
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Actions for LLM-Aided A* Search in Non-Geometric Network Graphs
📝
Poetry
GitHub
·
4h
4 hours ago
Show HN: Route
LLM
prompts
to cheapest capable model –
pydantic-AI
and litellm
Covered by
DEV Community
Discussed on
Hacker News
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Actions for Show HN: Route LLM prompts to cheapest capable model – pydantic-AI and litellm
🏫
Ramkhamhaeng
arXiv
·
14h
14 hours ago
MAS-PromptBench
: When Does Prompt Optimization Improve Multi-Agent
LLM
Systems?
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Actions for MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?
🔮
Prediction
arXiv
·
14h
14 hours ago
Leveraging Large Language Models to Obscure Code Stylometry: A
Comparative
Study of GPT-3.5 and GPT-4
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Actions for Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4
🏫
Ramkhamhaeng
arXiv
·
6d
6 days ago
Environment-Grounded Automated
Prompt
Optimization for
LLM
Game Agents
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Actions for Environment-Grounded Automated Prompt Optimization for LLM Game Agents
🏫
Ramkhamhaeng
arXiv
·
14h
14 hours ago
From Question Answering to Task
Completion
: A Survey on Agent System and Harness Design
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Actions for From Question Answering to Task Completion: A Survey on Agent System and Harness Design
🏫
Ramkhamhaeng
arXiv
·
14h
14 hours ago
CodeTeam: An
LLM-Powered
Multi-Agent Framework for Repository-Level Code
Generation
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Actions for CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation
🏫
Ramkhamhaeng
arXiv
·
6d
6 days ago
Bridging Functional Correctness and Runtime Efficiency Gaps in
LLM-Based
Code Translation
Covered by
ai-brief.liziran.com
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Actions for Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
🏫
Ramkhamhaeng
arXiv
·
4d
4 days ago
Prompt
Quality and Pull Request Outcomes: A Stage-Based Empirical Study of
LLM-Assisted
Development
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Actions for Prompt Quality and Pull Request Outcomes: A Stage-Based Empirical Study of LLM-Assisted Development
🏫
Ramkhamhaeng
arXiv
·
4d
4 days ago
FAPO: Fully Autonomous
Prompt
Optimization of Multi-Step
LLM
Pipelines
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Actions for FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines
🏫
Ramkhamhaeng
arXiv
·
6d
6 days ago
Querying an astronomical database using large language models: the ALeRCE text-to-SQL system
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Actions for Querying an astronomical database using large language models: the ALeRCE text-to-SQL system
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