LLMs

large language models, GPT, Claude, prompt engineering, transformers

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Scoured 162 posts in 10.2 ms

A wild idea: Abstract reality using ontology

 🤔AI Criticism  Content type: Discussion

The Bill Arrives: How to Manage Agentic AI Costs at Scale

 🏠Homelab  Content type: Blog
cockroachlabs.com·

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

 🦀Rust  Content type: Discussion

Alignment Defends LLMs from Property Inference Attacks

 🤔AI Criticism  Content type: Academic
arxiv.org·

Automate Oracle PL/SQL to PostgreSQL migration with Amazon Bedrock and Strands Agents

 🍎Apple  Content type: Blog
aws.amazon.com·

Nvidia Nemotron 3 Ultra

 🖥️Vintage Computing

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

 🤔AI Criticism

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 👨‍💻Software Engineering

Issue #390 - The ML Engineer 🤖

 🤔AI Criticism  Content type: News  Content type: Blog

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

 🔧Compilers  Content type: Academic
arxiv.org·

Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs

 🤔AI Criticism
lesswrong.com·

BoundaryML/baml baml-language-0.11.3-nightly.20260609.e

 🔧Compilers  Content type: Code
github.com
·

My research agenda and work

 🤔AI Criticism
lesswrong.com·

DataXflowGen for GenAI-driven model generation

 🤔AI Criticism  Content type: Academic
nature.com·

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

 👨‍💻Software Engineering  Content type: Blog
medium.com
·

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

 🔧Compilers  Content type: Academic
arxiv.org·

You’ve Been Using AI for Years. You Just Didn’t Call It That.

 🤔AI Criticism  Content type: Blog
medium.com·

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

 🐍Python
Less-relevant results

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 🤔AI Criticism

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

 🤔AI Criticism
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