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Posts tagged with LLM

Reflexion: An Iterative Approach to LLM Problem-Solving Featured Post

Reflexion, an AI technique for tackling complex tasks without a definitive ground truth, enhancing problem-solving & user experience.

Reflexion: An Iterative Approach to LLM Problem-Solving

Humans are known for their ability to learn from mistakes, refining problem-solving approaches through self-reflection and analysis. This concept can be applied to a wide range of problems that lack a definitive ground truth, such as protein design, chemical design, and architectural design, as well as simpler problems encountered in everyday life.

https://nanothoughts.substack.com/p/reflecting-on-reflexion
The process of reflection

In this article, we explore the concept of Reflexion, as outlined in this article, an iterative method for problem-solving, in LLMs like GPT-4, that mirrors human intelligence and its applications in various fields.

Reflecting on Reflexion
Here’s
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Mastering Prompt Engineering: Prompt Libraries For LLMs Featured Post

Discover the power of AI prompt libraries for efficient organization, streamlined development, and enhanced collaboration in AI-driven projects.

Mastering Prompt Engineering: Prompt Libraries For LLMs

Prompt libraries play a crucial role in enhancing the efficiency and organization of AI prompts in prompt engineering activities by providing a centralized platform for easy retrieval, recording, and utilization of prompt recipes and prompts.

Introduction to Prompt Libraries

Prompt libraries have emerged as essential tools in the field of AI prompt engineering. By offering a centralized database or repository for organizing and storing prompt recipes and prompts, these libraries streamline the process of prompt engineering, leading to improved efficiency and effectiveness. In this lesson, we will explore the significance of prompt libraries, discuss the benefits of using tools like

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What is a Prompt Engineer: The Developing and Essential Role of Prompt Engineers in AI Powered Systems Featured Post

Ever wondered what a prompt engineer actually does? Learn about the roles, responsibilities and activities of a professional Prompt Engineer.

What is a Prompt Engineer: The Developing and Essential Role of Prompt Engineers in AI Powered Systems

Introduction

As AI systems, such as large language models, become increasingly sophisticated, prompt engineers play a critical role in ensuring that these systems generate outputs that are relevant, accurate, and in line with desired outcomes. In this article, we will explore the key  roles and responsibilities of a prompt engineer, the skills required for success in the field, potential employment opportunities and take a detailed walkthrough on what it's like to be a prompt engineer on a specific project.

What is a Prompt Engineer

A "Prompt Engineer" is a professional who specializes in designing, optimizing, and refining prompts or inputs

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Master Prompting Techniques: Self-Consistency Prompting Featured Post

Learn about self-consistency prompting and its place in prompt engineering

Master Prompting Techniques: Self-Consistency Prompting

Introduction to Self-Consistency in LLMs

Self-consistency is an advanced prompting technique that builds on COT prompting. The aim here is to improve the naive greedy decoding using COT prompting by sampling multiple diverse reasoning paths and selecting the most consistent answers.

This can help boost the performance of COT prompting on tasks involving arithmetic and common sense reasoning. By utilizing a majority voting system, the AI model can arrive at more accurate and reliable answers.

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In this approach, you supply the language model with several question-answer or input-output pairs, illustrating the thought process in the provided answers or outputs. You
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Master Prompting Techniques: Knowledge Generation Prompting Featured Post

Master AI-driven problem-solving with knowledge generation prompting techniques. Learn how to combine AI models & external sources for optimal results.

Master Prompting Techniques: Knowledge Generation Prompting

Knowledge generation prompting is a technique that utilizes the AI model's ability to generate knowledge for solving specific tasks. By providing the model with demonstrations and guiding it towards a particular problem, the AI can generate knowledge that is then used to answer the task at hand.

This technique can be combined with external sources, such as APIs or databases, to further enhance the AI's problem-solving abilities.

Knowledge generation prompting has two core steps:

  1. Knowledge generation - evaluate what the LLM already knows about the topic/subtopic as well as related ones
  2. Knowledge integration at inference time (during prompting via
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Master Prompting Concepts: Chain of Thought Prompting Featured Post

Learn about Chain of Thought Prompting - Learn tips, techniques, and applications for enhanced problem-solving.

Master Prompting Concepts: Chain of Thought Prompting

Introduction to Chain of Thought (CoT) Prompting

Chain of Thought Prompting is a novel method developed by researchers at Google to enhance the reasoning capabilities of large language models. This approach breaks down multi-step problems into intermediate steps, allowing language models to tackle complex reasoning tasks that cannot be solved with standard prompting techniques. In this essay, we will discuss the benefits of Chain of Thought Prompting and review the experimental results obtained from its application.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
We explore how generating a chain of thought -- a series of intermediatereasoning steps -- significantly
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