๐๏ธ Introduction to Advanced AI Techniques
An introduction to advanced AI techniques such as Chain-of-thoughts, Zero Shot Chain of Thought, Knowledge Prompting, ToT, ART, and APE.
๐๏ธ Chain of Thought Prompting in AI
This page explains the concept of Chain of Thought Prompting, its importance in enhancing reasoning capabilities of large language models, and provides examples.
๐๏ธ Zero-shot Chain of Thought (CoT) in AI Prompting
Explore the concept of Zero-shot Chain of Thought (CoT) in AI, a task-agnostic method to guide models to think step-by-step.
๐๏ธ Knowledge Prompting in AI
This page explains how integrating external knowledge can improve commonsense reasoning through knowledge prompting, without needing task-specific supervision or access to structured knowledge bases.
๐๏ธ Tree of Thoughts (ToT) A Framework for Complex Task Reasoning
This page introduces the Tree of Thoughts (ToT) framework, which enhances language models' ability to reason through complex tasks by using intermediate steps.
๐๏ธ Automatic Reasoning and Tool-use (ART)
This article introduces the concept of Automatic Reasoning and Tool-use (ART) and its applications in using LLMs for task completion.
๐๏ธ Automated Prompt Engineer (APE)
This page provides an overview of the Automated Prompt Engineer (APE) framework for automatic instruction generation and selection.