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Prompt Engineering Institute

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Master Prompt Engineering: LLM Embedding and Fine-tuning Featured Post

In this lesson, we cover fine-tuning for structured output & semantic embeddings for knowledge retrieval. Unleash AI's full potential! đź§ 

Master Prompt Engineering: LLM Embedding and Fine-tuning

Fine-tuning and embedding LLMs (GPT-3/3.5/4) have become a popular topic of discussion as people seek to leverage the power of this advanced language model for various applications, such as question-answering (QA) and information retrieval.

While both semantic embeddings and fine-tuning are techniques employed to adapt LLMs to specific tasks, they serve different purposes and offer unique benefits.

We will explore these two concepts together as they are related and there is often much confusion about which to use and when.

Core Concepts

LLM Transfer Learning

Transfer learning is a machine learning technique that allows a model to

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Master Prompting Concepts: Zero-Shot and Few-Shot Prompting Featured Post

Explore few-shot & zero-shot methodologies, as we dive into the nuances of these AI techniques, their applications, advantages & limitations.

Master Prompting Concepts: Zero-Shot and Few-Shot Prompting

As we go further into the art of prompting there are some major techniques that can assist you as a prompt engineer. The four major ones are:

  1. Zero-shot prompting
  2. Few-shot prompting
  3. Fine-tuning
  4. Embedded Vector Search aka Embedding

The following graphic briefly summarises these approaches and when some you may need to explore them.

A Summary and Guide on How to Approach an LLM Strategy

Zero-Shot Prompting

Language models, especially large-scale ones like GPT-4, have revolutionized the way we approach natural language processing tasks. One of the most remarkable features of these models is their ability to perform zero-shot learning.

This

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X.AI - Musk's Mysterious AI Project: Twitter's Bold Move with 10,000 GPUs and NVIDIA's Rising Dominance

X.AI - Musk's Mysterious AI Project: Twitter's Bold Move with 10,000 GPUs and NVIDIA's Rising Dominance

Despite advocating for a halt to AI training, Elon Musk has reportedly initiated a major AI project within Twitter, acquiring 10,000 GPUs and recruiting AI talent from DeepMind, potentially to improve search functionality or generate targeted advertising content.

Elon Musk's Secretive AI Project

Elon Musk recently purchased 10,000 GPUs for a secretive AI project within Twitter. This move comes as a surprise, as Musk has previously called for an industry-wide halt to AI training. The project seems to be ambitious, with Twitter recruiting AI talent from DeepMind and acquiring a significant amount of additional computing power. This suggests

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StableLM: A Small But Mighty Open Source Large Language Model for Commercial Use

Discover StableLM: Open-source, uncensored AI language model. Small, powerful, and locally hostable, it's a game-changer in AI development.

StableLM: A Small But Mighty Open Source Large Language Model for Commercial Use

Stability AI, the creators of stable diffusion text-to-image, has announced the release of Stable LM, their first large language model. This open-source AI language model is set to compete with the likes of OpenAI's GPT models.

Introducing StableLM: The new contender in the realm of AI-powered language models

StableLM, a new, high-performance large language model, built by Stability AI has just made its way into the world of open-source AI, transcending its original diffusion model of 3D image generation.

Emad, the CEO of Stability AI, tweeted about the announcement and stated that the large language models would be released in

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Master Prompt Engineering: Prompt Recipes - A Framework for Reusable AI Prompts Featured Post

Discover the power of prompt recipes for AI tasks! Optimise ANY prompt. Download the free prompt recipe template and take your AI game to the next level.

Master Prompt Engineering: Prompt Recipes - A Framework for Reusable AI Prompts

In this lesson, we will explore the concept of prompt recipes, which build upon the prompt engineering techniques discussed in previous lessons. By utilizing prompt recipes, users can achieve consistency, efficiency, customization, and optimization in their AI engineering efforts.

What is Prompt Engineering?
Prompt engineering is a comprehensive process that encompasses the entire cycle of interaction between humans and the AI.
Unlock the Power of AI with Effective Prompts
Discover the importance of prompts in AI content creation and how they can transform your output. Dive into the world of prompting and create amazing AI interactions
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Midjourney Office Hours Recap: Key Points and Updates - April 12th 2023

Midjourney's Version 5 Aesthetics, GPU shortages, Version 6 delays, new moderation rules, and cybersecurity challenges are in this recap.

Midjourney Office Hours Recap: Key Points and Updates - April 12th 2023

New Version 5 Aesthetics and Easy Mode

Midjourney is working on rolling out new Version 5 Aesthetics and wants to make it the default for users. However, they are still developing an easy mode to facilitate smoother user experiences. Once complete, the current way of prompting will remain available as a raw mode or pro mode option for those who prefer it.

Expressive Niji Style and GPU Shortages

A new Niji style called "Expressive" has been gaining popularity recently, which has been contributing to GPU shortages, particularly during nighttime in North America and daytime in Japan. In response, Midjourney plans

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