Category: AI
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How Google Decides When to Use Gemini Grounding for User Queries
Google’s Gemini models are designed to provide users with accurate, timely, and trustworthy responses. A key innovation in this process is grounding, the ability to enhance model responses by anchoring them to up-to-date information from Google Search. However, not every query benefits from grounding, and Google has implemented a smart mechanism to decide when to…
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Cross-Model Circuit Analysis: Gemini vs. Gemma Comparison Framework
1. Introduction Understanding the similarities and differences in how different large language models represent and prioritize brand information can provide crucial insights for developing robust, transferable brand positioning strategies. This framework outlines a systematic approach for comparative circuit analysis between Google’s Gemini and Gemma model families, with the goal of identifying universal brand-relevant circuits and…
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Neural Circuit Analysis Framework for Brand Mention Optimization
Leveraging Open-Weight Models for Mechanistic Brand Positioning 1. Introduction While our previous methodology treated language models as black boxes, open-weight models like Gemma 3 Instruct provide unprecedented opportunities for direct observation and manipulation of internal model mechanics. This framework extends our previous methodology by incorporating direct neural circuit analysis, allowing for precise identification and targeting…
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Strategic Brand Positioning in LLMs: A Methodological Framework for Prompt Engineering and Model Behavior Analysis
Abstract This paper presents a novel methodological framework for systematically analyzing and optimizing the conditions under which large language models (LLMs) generate favorable brand mentions. By employing a structured probing technique that examines prompt variations, completion thresholds, and linguistic pivot points, this research establishes a replicable process for identifying high-confidence prompting patterns. The methodology enables…
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AlexNet: The Deep Learning Breakthrough That Reshaped Google’s AI Strategy
When Google, in collaboration with the Computer History Museum, open-sourced the original AlexNet source code, it marked a significant moment in the history of artificial intelligence. AlexNet was more than just an academic breakthrough; it was the tipping point that launched deep learning into mainstream AI research and reshaped the future of companies like Google.…
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Revealed: The exact search result data sent to Google’s AI.
UPDATE: Addressing guardrails, hallucinations and context size. 1. People are reporting difficulties in recreating the output due to guardrails and hallucinations. 2. Snippet context sometimes grows to several chunks. Guardrails Google attempts (and in many cases) succeeds at blocking these requests, but it does so in a very clumsy way so that we actually get…
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Beyond Rank Tracking: Analyzing Brand Perceptions Through Language Model Association Networks
This post is based on the codebase and specifications for AI Rank, an AI visibility and rank tracking framework developed by DEJAN AI team: https://airank.dejan.ai/ Abstract: Traditional SEO has long relied on rank tracking as a primary metric of online visibility. However, modern search engines, increasingly driven by large language models (LLMs), are evolving beyond…
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Introducing VecZip: Embedding Compression Algorithm
Embeddings are vital for representing complex data in machine learning, enabling models to perform tasks such as natural language understanding and image recognition. However, these embeddings can be massive in size, creating challenges for storage, processing, and transmission. At DEJAN AI, we’ve developed VecZip, a novel approach to address this issue, and reduce the file size…
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Both humans and AI return similar results when asked for a random number
Veritasium asked 200,000 humans for a random number and we asked AI for 200,000 random numbers and the overlap is incredible! Human Outliers AI Outliers The rest appears to be eerily aligned. We both like 2 and 7. But what I think is the most interesting part is the near-perfect alignment on least random numbers.…
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Chrome AI Models
Chrome’s AI-driven segmentation platform enhances user experiences by predicting behaviours and tailoring features accordingly. Explore the different models that power these optimizations and how they shape web interactions.