Magentic-One by Microsoft, is an open-source, multi-agent system designed to solve complex tasks using artificial intelligence. Magentic-One utilises a team of specialised agents, each possessing unique skills like web browsing, file handling, and code execution, all coordinated by an Orchestrator agent. This modular design allows for flexibility and extensibility, enabling the system to adapt to...
Category: Technology
The llms.txt Standard and the Rise of Human-AI Infrastructure
The World Wide Web stands at the threshold of a profound transformation. A new proposal called llms.txt signals the emergence of something remarkable: a web that serves not just human readers, but artificial intelligences as first-class citizens. This isn't merely another technical standard—it's the beginning of a fundamental shift in how we think about digital...
Test-Time Training: A Breakthrough in AI Problem-Solving
In a groundbreaking new paper from MIT researchers, artificial intelligence has taken a significant step forward in its ability to solve novel, complex problems. The research demonstrates that with a technique called "test-time training" (TTT), AI systems can dramatically improve their reasoning abilities—matching human-level performance on some challenging tasks. Let's dive into what this means...
Anthropic releases automatic Prompt Improver – Is Prompt Engineering over?
Anthropic has released new features in its developer console to improve the quality of prompts used with its language model, Claude. The prompt improver automates the refinement of existing prompts using techniques such as chain-of-thought reasoning and example standardization. The console also allows users to manage multi-shot examples in a structured format and provides a...
Multi-expert Prompting: Making AI Systems More Reliable and Useful
Imagine asking different experts for their opinion on a complex question. A doctor might focus on health implications, an economist on financial impact, and a sociologist on social consequences. Each perspective adds valuable insight, leading to a more comprehensive understanding. Now, what if we could make AI systems work the same way? This is exactly...
From Vision to Reality – Apple’s Knowledge Navigator and Today’s AI Tools
In 1987, Apple envisioned a futuristic assistant through their Knowledge Navigator concept, a video illustrating a professor’s seamless interaction with an intelligent, voice-activated personal assistant. While many of the assistant’s capabilities seemed like science fiction then, today’s advancements in artificial intelligence (AI) and digital communication tools have brought nearly every aspect of that vision to...
Exploring the Meta Prompt: Enhancing AI Reasoning and Interaction
There is a growing interest in guiding AI models to think more deeply, reason more logically, and interact more effectively. One approach to achieving this is through the use of a “meta prompt”—a comprehensive set of instructions designed to shape the AI’s behavior and reasoning processes. In this article, we will delve into a specific...
ChatGPT Search vs. Perplexity: The New Era of AI-Powered Search Engines
The world of search is undergoing a dramatic transformation with the emergence of AI-powered search engines. Two notable contenders in this arena are ChatGPT Search and Perplexity. Both leverage the power of large language models to deliver a more conversational and informative search experience. But how do they stack up against each other? Speed and...
Computer Use: How autonomous agents start to take over your computer
Anthropic's Claude 3.5 Sonnet introduces a new feature - the ability to control a user interface through an approach called "computer use". This feature, currently in beta, allows the model to interact with computer desktops in a way reminiscent of a human user, marking a significant leap in AI capabilities. Computer Use Traditional Large Language...
Cognitive Prompting: Unlocking Structured Thinking in AI
Artificial Intelligence (AI) is evolving, especially with the introduction of large language models (LLMs) capable of solving tasks that require complex reasoning. However, while LLMs excel at generating coherent text and processing large amounts of information, they often struggle to tackle multi-step reasoning tasks that come naturally to humans. Enter cognitive prompting, a structured approach...
