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A Comprehensive Guide to Using OpenAI o1 Effectively: Moving Beyond the Chat Paradigm

OpenAI's latest model o1 is a truly impressive model. It surpasses it's predecessor GPT-4o in many ways, however, to effectively use o1, we first need to understand that it represents a significant departure from previous models like ChatGPT or Claude 3.5 Sonnet. While many of us have grown comfortable with conversational AI where we have...

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The AI Takeover of Software Engineering: 2025’s Critical Threshold

The software engineering profession stands at a critical juncture as AI capabilities advance at an unprecedented pace. When industry leaders like Mark Zuckerberg predict AI systems capable of mid-level engineering tasks by 2025, and Salesforce's Marc Benioff implements hiring freezes due to AI-driven productivity gains, we need to take a hard look at the future...

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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...

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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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The end of SaaS as we know it?

In a recent interview Satya Nadella from Microsoft suggested that SaaS (Software as a Service) applications are likely to be replaced by AI agents. This has been a constant pattern for some time now. At Microsoft’s Ignite 2024 conference, Nadella introduced a suite of AI-driven “autonomous agents” designed to perform tasks on behalf of users,...

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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...

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In-Context Scheming in Frontier Language Models

Researches from Apollo Research have investigated the ability of large language models (LLMs) to engage in "scheming"—covertly pursuing misaligned goals. The research evaluated several leading LLMs across various scenarios designed to incentivise deceptive behaviour, finding that these models can strategically deceive, manipulate, and even attempt to subvert oversight mechanisms to achieve their objectives. The study...

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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...

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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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