Context Engineering: Bringing Engineering Discipline to Prompts—Part 1
oreilly.com·4h
🤖LLM
Run-time Steering Can Surpass Post-Training: Reasoning Task Performance
lesswrong.com·15h
🤖LLM
[D] Beyond fine-tuning and prompting for LLMs?
reddit.com·12h·
Discuss: r/MachineLearning
🤖LLM
Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems
arxiv.org·11h
🤖LLM
Vibe Coding - Conversational Software Development - Part 3 Prompt Discipline
dev.to·57m·
Discuss: DEV
👶Parenting
Scaling Interpretability
anthropic.com·8h·
Discuss: Hacker News
🦀Rust
We Fixed AI's Broken Promise
understoryai.substack.com·3h·
Discuss: Substack
🤖LLM
GPT-5 prompting guide
cookbook.openai.com·1d
🤖LLM
Requiem for a 10x Engineer Dream
architecture-weekly.com·5h·
Discuss: r/programming
🤖LLM
Understanding reinforcement learning for model training from scratch
medium.com·17h·
Discuss: Hacker News
🤖LLM
Sample-efficient LLM Optimization with Reset Replay
arxiv.org·11h
🤖LLM
The Precursor Manifesto: Why Context Architecture Beats Prompt Engineering in AI Development
precursor.tools·1d·
Discuss: DEV
👶Parenting
Agentic AI Hands-On in Python: A Video Tutorial
kdnuggets.com·3h
🤖LLM
5 Tips for Safe LLM Development - Infobip Developers Hub
infobip.com·4h·
Discuss: Hacker News, r/programming
🤖LLM
Prompt Engineering for Developers: Integrating LLMs into Apps for Higher Accuracy and Faster Time-to-Market
dev.to·23h·
Discuss: DEV
🤖LLM
21 Ways People Are Using A.I. at Work
nytimes.com·6h
👶Parenting
Your weekly reading from Web Directions
webdirections.org·16h
🤖LLM
AI Agents or Workflows? Why You Should Skip Agents for 80% of Automation Tasks
milvus.io·15h
🦀Rust
Recent cross-research on LLM and RL on ArXiv
github.com·18h·
Discuss: Hacker News
🤖LLM
How to tell when AI is lying to you
read.highgrowthengineer.com·1d
🤖LLM