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...
Category: Technology
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...
Prompt Optimisation with OpenAIs Meta-Prompt
OpenAI has just dropped a Meta-Prompt. It's designed to make crafting and fine-tuning prompts for language models a whole lot easier. The promise? To save you time and effort while boosting the quality of your AI-driven instructions. Sounds like a win-win, right? Here’s the deal: the Meta-Prompt is baked right into OpenAI’s Playground, where it...
OpenAI API Announcements
OpenAI recently announced a series of updates to their API offerings, aimed at enhancing the developer experience and making AI more accessible across various industries. The updates focus on multimodality, cost-efficiency, and improved workflows, giving developers more flexibility and control over building advanced AI applications. Key Themes: 1.Multimodality: OpenAI is driving towards enabling multimodal AI...
