[D] Beyond fine-tuning and prompting for LLMs?
reddit.com·6h·
Discuss: r/MachineLearning
🤖LLM
Prompt Engineering for Developers: Integrating LLMs into Apps for Higher Accuracy and Faster Time-to-Market
dev.to·17h·
Discuss: DEV
🤖LLM
Run-time Steering Can Surpass Post-Training: Reasoning Task Performance
lesswrong.com·10h
🤖LLM
Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems
arxiv.org·6h
🤖LLM
Scaling Interpretability
anthropic.com·2h·
Discuss: Hacker News
🦀Rust
GPT-5 prompting guide
cookbook.openai.com·1d
🤖LLM
The Precursor Manifesto: Why Context Architecture Beats Prompt Engineering in AI Development
precursor.tools·1d·
Discuss: DEV
👶Parenting
Understanding reinforcement learning for model training from scratch
medium.com·11h·
Discuss: Hacker News
🤖LLM
Sample-efficient LLM Optimization with Reset Replay
arxiv.org·6h
🤖LLM
21 Ways People Are Using A.I. at Work
nytimes.com·1h
👶Parenting
How to tell when AI is lying to you
read.highgrowthengineer.com·18h
🤖LLM
Your weekly reading from Web Directions
webdirections.org·10h
🤖LLM
Recent cross-research on LLM and RL on ArXiv
github.com·12h·
Discuss: Hacker News
🤖LLM
YC S25 — Coolest software-focused startups (developer-forward review)
dev.to·5h·
Discuss: DEV
👶Parenting
AI Agents or Workflows? Why You Should Skip Agents for 80% of Automation Tasks
milvus.io·10h
🦀Rust
A Gentle Introduction to Context Engineering in LLMs
kdnuggets.com·3d
🤖LLM
I finally understand how AI can handle legal paperwork better than humans.
threadreaderapp.com·4h
🤖LLM
Why I Switched to JSON Prompting and Why You Should Too
analyticsvidhya.com·7h
🦀Rust
If You Sleep Well Tonight You May Not Have Understood
i-programmer.info·16h
🤖LLM
Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime
arxiv.org·6h
🤖LLM