LLMs

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

 ✍️Prompt Engineering  Content type: News
digg.com·
Less-relevant results

Built and launched a research-reading and highlighting tool with Claude over a few months. Here are the things AI was surprisingly good (and bad) at.

 🤖AI
highlyt.app··r/ClaudeAI

Anthropic: Claude Now Writes 80% of Its Own Code in 2026

 🤖AI  Content type: Blog
wowhow.cloud··DEV

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 ✍️Prompt Engineering

Revisiting Using AI Coding Assistants: You’re Holding It Wrong Edition

 ✍️Prompt Engineering
hackaday.com·

DataXflowGen for GenAI-driven model generation

 🤖AI  Content type: Academic
nature.com·

The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

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

 🐘PostgreSQL  Content type: Blog
aws.amazon.com·

What Are AI Hallucinations? And How To Improve Accuracy in Pipelines

 ✍️Prompt Engineering  Content type: Blog
blog.n8n.io·

My research agenda and work

 🤖AI
lesswrong.com·

Why LLMs hallucinate?

 🤖AI  Content type: Blog
medium.com
·

Issue #390 - The ML Engineer 🤖

 🤖AI  Content type: News  Content type: Blog

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

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Udacity Agentic AI review: what graduates actually built

 ✍️Prompt Engineering  Content type: Blog
udacity.com·

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

 ✍️Prompt Engineering

Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs

 ✍️Prompt Engineering
lesswrong.com·

Introducing Granite Libraries and Project Granite Switch

 ✍️Prompt Engineering  Content type: Blog

tetherto/qvac: QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.

 ✍️Prompt Engineering  Content type: Code
github.com·

Attention Based Interpretability With Concept Transformer

 🤖AI  Content type: Blog
medium.com
·

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·
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