Preference-driven refinement prompting is a technique used in AI prompt engineering to tailor the outputs of language models according to specific user preferences. This process involves iteratively refining prompts based on user feedback to achieve desired results. Here’s how it works: Initial Prompt Creation: Start with a basic prompt that outlines what you want the...
Category: Technology
Is AI About to Make Developers Redundant?
Software developers, take note: your role might be about to evolve. That’s according to Matt Garman, head of Amazon Web Services (AWS), who recently suggested that AI could soon take over many programming tasks, reshaping the future of development. But before you panic and start brushing up on your résumé for a career change, there’s...
Why are separators important for prompt engineering?
Separators, also known as delimiters, play a crucial role in enhancing the performance and effectiveness of prompts used with Large Language Models (LLMs). The integration of separators within prompting is a strategy inspired by human cognitive processes, aimed at improving the reasoning capabilities of large language models (LLMs). This method, involves strategically placing separators in...
What is the difference between an AI bot and an AI agent?
The terms "AI bot" and "AI agent" are often used interchangeably, but there are some key differences between them. AI bots are typically designed to perform specific tasks or functions, such as responding to customer inquiries or providing information. They are often powered by machine learning and natural language processing, which allows them to learn...
What is Prompt Chaining?
Prompt chaining is a technique used in generative AI models, particularly within the realms of conversational AI and large language models (LLMs). This method involves using the output from one model interaction as the input for the next, creating a series of interconnected prompts that collectively address a complex problem or task[1][2]. This approach contrasts...
An introduction to how Large Language Models work
Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) by offering unprecedented capabilities in generating coherent and fluent text[1]. The evolution of LLMs can be traced back to early language models that were limited by their simplistic architecture and smaller datasets. These initial models primarily focused on predicting the next word...
The Trend Towards Smaller Language Models in AI
The landscape of artificial intelligence (AI) is undergoing a notable transformation, shifting from the pursuit of ever-larger language models (LLMs) to the development of smaller, more efficient models. This shift, driven by technological advancements and practical considerations, is redefining how AI systems are built, deployed, and utilized across various sectors. The Shift in AI Model...
Understanding Tokens in AI
In the realm of Artificial Intelligence (AI), particularly in the context of Large Language Models (LLMs), tokens are the fundamental units of language that enable machines to comprehend and generate human-like text. This article delves into the world of tokens, exploring their definition, history, types, and significance in the AI landscape. What are Tokens? In...
Embeddings: The Secret Sauce in AI’s Data Cuisine
In the world of artificial intelligence (AI), data is the main ingredient. But just like raw ingredients need preparation before they become a delicious meal, data must be transformed into a palatable format for AI systems, particularly large language models (LLMs), to "digest." This is where embeddings enter the kitchen, serving as the secret sauce...
Power-hungry AI is driving a surge in tech giant carbon emissions. Nobody knows what to do about it
Since the release of ChatGPT in November 2022, the world has seen an incredible surge in investment, development and use of artificial intelligence (AI) applications. According to one estimate, the amount of computational power used for AI is doubling roughly every 100 days. The social and economic impacts of this boom have provoked reactions around...
