Open post rpa

Going Beyond RPA with LLMs

Robotic Process Automation (RPA) has long been the go-to solution for streamlining repetitive tasks. But when it comes to handling complex, (semi-)structured data, RPA falls short. Enter AI-powered intelligent automation—a transformative approach that redefines what’s possible in business operations. Unlike traditional RPA bots, AI agents bring contextual understanding to the table, making them more reliable...

Open post ARC Prize

What is the ARC Prize and why is it important?

The ARC Prize is a $1,000,000+ public competition aimed at advancing open-source progress towards Artificial General Intelligence. The ARC Prize is a competition designed to inspire new ideas and drive progress towards Artificial General Intelligence (AGI) by reaching a target benchmark score on the ARC-AGI (Abstraction and Reasoning Corpus for Artificial General Intelligence) benchmark. The...

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Tag Based Prompting for Better Prompting Performance

Large Language Models (LLMs) have amazed us with their ability to generate human-quality text, translate languages, and answer complex questions. But what happens when you need them to tackle something outside their general knowledge base – like predicting the properties of a protein or translating a highly structured technical document? That's where tag-based prompting comes...

Open post empathy

ChatGPT’s artificial empathy is a language trick. Here’s how it works

Anthropomorphism occurs when we attribute human characteristics to non-human entities like animals or machines. Chatbots, such as ChatGPT, Gemini and Copilot, encourage this by imitating human language to communicate with us, going beyond using mere familiar words and phrases to adopt human patterns of communication. By doing this, they are able to hold contextualised, coherent...

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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...

Open post mcp

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...

Open post Tinytroupe

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...

Open post MagenticOne

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...

Open post llmstxt

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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