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Self-critical AI Elena Daehnhardt · 30 May, 2025 In this post, I write about my little experiment on self-reflection while creating content that resembles my writing style using a few AI chatbots. I have started with Gemini and gave the same task to chatGPT and Claude. Did they pass my little misleading test? Let's see.
AI reads my blog Elena Daehnhardt · 28 Mar, 2025 chatGPT and other AI bots often visit my blog. This post will explore how to effectively track ChatGPT (or other bots) traffic using Google Analytics 4 (GA4), a powerful analytics platform designed for modern web properties. Using Google Analytics 4 to track chatGPT and other bots' traffic can provide insights into how AI chatbots interact with your website and which pages are most valuable to them. As generative AI search evolves, adapting and optimising our content accordingly through effective web analytics is crucial.
How CustomGPT Mitigates AI Hallucinations Elena Daehnhardt · 13 Feb, 2025 CustomGPT reduces AI errors using specialised knowledge, quality data, and user feedback. Along with RAG, it provides accurate and reliable content for various applications.
Multimodal AI Elena Daehnhardt · 28 Dec, 2024 Multimodal AI is rapidly evolving, pushing the boundaries of what machines can understand and achieve by combining information from multiple modalities like text, images, audio, and video. This post explores the core techniques of realising multimodal AI, existing systems and related research.
Generative AI vs. Large Language Models Elena Daehnhardt · 4 Dec, 2024 Generative AI and Large Language Models (LLMs) are both important concepts in artificial intelligence, but they are not the same. Generative AI refers to different models that can create various types of content, such as text, images, and music. LLMs are a specific type of generative AI that focuses on understanding and producing human language. This post explains their differences, highlights key techniques like Transformers and GANs, and mentions important open-source projects.
Combining Retrieval and Generation in RAG Elena Daehnhardt · 8 Oct, 2024 Let's talk about retrieval-augmented generation (RAG) - an advanced AI technique that enhances generative models with retrieval mechanisms. We'll cover RAG architecture, applications, benefits, challenges, best practices, and current research opportunities.

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