Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning
We introduce THINK-AND-EXECUTE, a framework that performs reasoning with a pseudocode that contains the common logical structure of a given task.
Fuck You, Show Me The Prompt. –
Quickly understand inscrutable LLM frameworks by intercepting API calls.
https://mitmproxy.org/
Prompt Engineering Roadmap - roadmap.sh
Step by step guide to learn Prompt Engineering. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.
Prompt Learning: Using English Feedback to Optimize LLM Systems
Applications of reinforcement learning (RL) in AI model building has been a growing topic over the past few months. From Deepseek models incorporating RL mechanics into their training processes to...
world customer deployments, internal synthetic data instruction learning tests, and well known benchmarks like Big Bench Hard.
Escape Prompt Hell With These 8 Must-have Open-source Tools | HackerNoon
Discover 8 powerful tools transforming prompt engineering from trial-and-error into scalable systems—featuring visual workflows, auto-tuned prompts, and memory-
Chain-of-Thought Prompting
Learn how Chain-of-Thought prompting improves AI reasoning by guiding models to explain their thought process. Discover its impact on LLM accuracy and complex tasks.
Google's Prompt Engineering
Prompting Fundamentals and How to Apply them Effectively
Structured input/output, prefilling, n-shots prompting, chain-of-thought, reducing hallucinations, etc.
Introducing Prompt Canvas: a Novel UX for Developing Prompts
Use Prompt Canvas in LangSmith to collaborate with an AI agent to build and optimize your prompts.