Prompt Engineering

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Scoured 252 posts in 6.5 ms

Nvidia Nemotron 3 Ultra

 🤖LLM

| Amine Raji, PhD

 🤖Agents
aminrj.com·

DataXflowGen for GenAI-driven model generation

 💬LLMs  Content type: Academic
nature.com·

Alignment Defends LLMs from Property Inference Attacks

 🤖LLM  Content type: Academic
arxiv.org·

The Reliability Stack for AI Agents [Part 2]

 🤖Agents  Content type: Blog
medium.com·

Logits as a new monitor for evaluation awareness

 🔄Agentic Systems
lesswrong.com··Hacker News

Fine-tuning vs. RAG vs. Context Engineering vs. Prompt Engineering vs. Distillation:

 💬LLMs  Content type: Blog
medium.com
·

Show HN: Black-box API bug detection across 7 AI systems

 🤖Agents

Automated Scoring of Arabic Text Using Large Language Models: A Literature Review

 💬LLMs  Content type: Academic
arxiv.org·

BungNis/Echo-Protocol-A-Prompt-Native-Persistent-State-Architecture-for-Large-Language-Models-Duo_Model: There's no explanation yet, just posting it for now.

 💬LLMs  Content type: Code

AI agents are learning on the job — just not for your whole team

 🤖Agents
venturebeat.com·

Generate UI with AI: From Text Prompts to Production-Ready Components (2026)

 💬LLMs
uxpin.com·

Local LLMs, Buy a GPU, and the Case for Cognitive Security

 💬LLMs

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 💬LLMs

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

 💬LLMs  Content type: Academic
arxiv.org·

Claude Opus 4.8 Review: Better At What’s It Good At, Worse At What It’s Not

 🔄Agentic Systems  Content type: News
decrypt.co·
Less-relevant results

Boris Cherny, Claude Code creator, says he stopped manually prompting AI and now writes autonomous loops to orchestrate the model

 🤖Claude Code  Content type: News
digg.com·

Playbooks in Dialogflow CX: The Building Blocks of Truly Intelligent Generative Agents

 💬LLMs  Content type: Blog
medium.com
·

New comment by aldoakhanov in "Ask HN: Who wants to be hired? (June 2026)"

 🔄DevOps

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

 🤖LLM  Content type: Academic
arxiv.org·
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