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Prompt Engineering
✍️ Prompt Engineering
Specific
prompting, system prompts, chain-of-thought, few-shot learning
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3089
posts in
14.0
ms
Comparing Claude Fable 5's
system
prompt
to Opus 4.8
🤖
AI Coding
Content type:
Blog
twelvetables.blog
·
2d
2 days ago
·
Hacker News
Actions for Comparing Claude Fable 5's system prompt to Opus 4.8
Context
Engineering
Is Eating
Prompt
Engineering
💬
LLMs
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for Context Engineering Is Eating Prompt Engineering
Managing AI
Chat
History — Part II: From Naive Storage to Intelligent Memory
🤖
AI
Content type:
Blog
thefrugaltechie.medium.com
·
13h
13 hours ago
Actions for Managing AI Chat History — Part II: From Naive Storage to Intelligent Memory
Report: Why developers use LLMs to write blog posts
💬
LLMs
Content type:
News
Content type:
Blog
writethatblog.substack.com
·
2d
2 days ago
·
Substack
Actions for Report: Why developers use LLMs to write blog posts
Making a Vintage
LLM
from Scratch
🌐
Open Source AI
crlf.link
·
13h
13 hours ago
·
Hacker News
Actions for Making a Vintage LLM from Scratch
Prompt
Engineering
Is Not About Prompts
💬
LLMs
Content type:
Blog
medium.com
·
5h
5 hours ago
Actions for Prompt Engineering Is Not About Prompts
Skill 不就是
prompt
吗？为啥被吹成这样？
📚
RAG
daily.zhihu.com
·
4d
4 days ago
Actions for Skill 不就是 prompt 吗？为啥被吹成这样？
Agentic Frameworks
🏗️
System Design
Content type:
News
Content type:
Blog
astledsa.substack.com
·
1d
1 day ago
·
Substack
Actions for Agentic Frameworks
Intelligent inference scheduling with
llm-d
on Red Hat AI
🏗️
System Design
developers.redhat.com
·
21h
21 hours ago
Actions for Intelligent inference scheduling with llm-d on Red Hat AI
My Notes on the Progression from
Context
to
Prompt
to Harness
engineering
in making GPT LLMs Useful: (TUESDAY) MAMLMs
📚
RAG
Content type:
News
Content type:
Blog
braddelong.substack.com
·
2d
2 days ago
·
Substack
Actions for My Notes on the Progression from Context to Prompt to Harness engineering in making GPT LLMs Useful: (TUESDAY) MAMLMs
How Anthropic most Advance Model Fable 5(Mythos) was jailbroken within…
🧠
AI Agents
Content type:
Blog
medium.com
·
10h
10 hours ago
Actions for How Anthropic most Advance Model Fable 5(Mythos) was jailbroken within…
Claude vs
GPT-4
: Which AI API Is Better for Developers? (2026)
🛡️
AI Safety
kalyna.pro
·
6d
6 days ago
·
DEV
Actions for Claude vs GPT-4: Which AI API Is Better for Developers? (2026)
Comprehensive evaluation of
LLM
capabilities for interpretation and analysis of genome-scale metabolic models in metabolic
engineering
💬
LLMs
Content type:
Academic
biorxiv.org
·
2d
2 days ago
Actions for Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering
Zig's
anti-LLM
contribution policy
💬
LLMs
sebastiandedeyne.com
·
15h
15 hours ago
Actions for Zig's anti-LLM contribution policy
Lost In The Middle: The core problem with large
context
in LLMs!
💬
LLMs
Content type:
Blog
harshitdawar.medium.com
·
1h
1 hour ago
Actions for Lost In The Middle: The core problem with large context in LLMs!
The Rise of Agentic AI: What Every
Engineer
Should
Learn
🧠
AI Agents
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for The Rise of Agentic AI: What Every Engineer Should Learn
Don't let the
LLM
speak, just probe it (8 minute read)
🤖
AI
Content type:
Blog
blog.j11y.io
·
21h
21 hours ago
Actions for Don't let the LLM speak, just probe it (8 minute read)
Why LLMs (still) lack taste
🤖
AI
beyondtheprior.com
·
2d
2 days ago
·
Hacker News
Actions for Why LLMs (still) lack taste
The Typical AI Agent Stack, Explained Most people think an AI agent is just a clever
prompt
and an
LLM
. The reality is much deeper. There's an entire architectu...
🧠
AI Agents
Content type:
Video
youtube.com
·
6h
6 hours ago
Actions for The Typical AI Agent Stack, Explained Most people think an AI agent is just a clever prompt and an LLM. The reality is much deeper. There's an entire architectu...
How to make
prompt
tracking much more accurate
🎼
AI Orchestration
searchengineland.com
·
1d
1 day ago
Actions for How to make prompt tracking much more accurate
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