What is the difference between prediction and recommendation?
Machine learning encompasses a range of techniques and methodologies designed to analyze data and make informed decisions.
Author: Martin Treiber
AI Simulates Classic DOOM
Imagine a world where you could play DOOM—yes, the iconic 1993 first-person shooter—powered not by a traditional game engine but by a neural network.
What is preference-driven refinement prompting?
Preference-driven refinement prompting is a technique used in AI prompt engineering to tailor the outputs of language models according to specific user…
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…
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).
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.
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).
What is In-Context Learning of LLMs?
In-context learning (ICL) refers to a remarkable capability of large language models (LLMs) that allows these models to perform new tasks without any…
Do Emergent Abilities in AI Models Boil Down to In-Context Learning?
Emergent abilities in large language models (LLMs) represent a fascinating area of artificial intelligence, where models display unexpected and novel…
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…