💬 Prompt Engineering - hello · Scour

Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning 🌳Pratt Parsing

The missing layer in prompt engineering: thinking quality 🎨Design Systems

javz.gumroad.com·1d·DEV

Few-Shot Prompting 💻CLI Tools

ministryoftesting.com·8h

Implementing Prompt Compression to Reduce Agentic Loop Costs 📏Run-Length Encoding

machinelearningmastery.com·1d

Prompts 🗂️Obsidian

gist.github.com·5d

How to Choose the Right Prompt Engineering Pattern (And Why Simpler Is Usually Better) ⚓Anchors

kaggle.com·2d·DEV

Large language model assisted hyper-heuristic evolutionary algorithm for groundwater level prediction ⚓Anchors

What an LLM Actually Does Between Prompt and Reply 🎭Program Synthesis

siliconopera.com·6d

Transform an AI Scramble Into an AI Strategy With Effective Skills Training ⚓Anchors

How I Built the LLM Council Inside My Notion AI Agent (And Why It Produces Better Answers Than a Single Prompt) ⚓Anchors

solopreneurcode.substack.com

LLM as logic processor, filesystem as memory — Q2 quant doing real agentic coding 50k context 🦙Ollama

github.com·1d·r/LocalLLaMA

CRESS Principles for Context Engineering ⚓Anchors

codemanship.wordpress.com·3d

Learn Generative AI – Why Freshers Should Learn Generative AI 🎭Program Synthesis

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces ⚓Anchors

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning 🤖TVM

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution 🤖TVM

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers 🤖TVM

LLMSYS-HPOBench: Hyperparameter Optimization Benchmark Suite for Real-World LLM Systems 🔧LLVM IR Optimization

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design 🎭Program Synthesis

Engineering Robustness into Personal Agents with the AI Workflow Store ⚓Anchors

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