Open post long context

The Long Context

In "You Exist In The Long Context," Steven Johnson explores the advancements in large language models (LLMs), particularly the significant impact of long context windows. Johnson illustrates this progress by creating an interactive game based on his book, showcasing the LLM's ability to handle complex narratives and maintain factual accuracy. He draws a parallel between...

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The Model Context Protocol

Anthropic's Model Context Protocol (MCP) is an open-source standard for connecting AI assistants to various data sources. MCP employs a client-server architecture, enabling two-way communication between AI applications (clients) and data providers (servers) via different transports like stdio and HTTP with SSE. The protocol facilitates access to resources, tools, and prompts, enhancing AI response relevance...

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TinyTroupe: Simulating Human Behaviour with AI

Microsoft has released TinyTroupe, an open-source Python library that uses large language models to simulate human behaviour in virtual environments. This allows for testing digital advertising, software, and generating synthetic data for machine learning. The library enables the simulation of multiple AI agents ("TinyPersons") with individual personalities interacting within a simulated world ("TinyWorld"), facilitating virtual...

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Magentic-One by Microsoft – GUI Automation Ante Portas

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...

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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...

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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...

Open post Prompt

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...

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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...

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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...

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