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Google DeepMind: Gemma 4 rollout and TurboQuant compression magic
Key Takeaways: Google introduced Gemma 4 , a state-of-the-art model with 256K context, Open-Source on Apache 2.0 license , that can be run locally as it only needs less space: 31B - full reasoning, runs on a workstation 26B MoE - fast, activates only 3.8B params per inference E4B / E2B - runs on a phone, offline, real-time audio + visio Google published their new compression algorithm TurboQuant that opens the door to new local developments and use cases: TurboQuant: Our
9. Apr.2 Min. Lesezeit


SEMrush: Reddit most cited across AI Search tools
Key Takeaways: SEMrush analyzed 217,000 prompts across Google AI Mode, Perplexity, and ChatGPT Search: SearchGPT references Reddit most often . 12.6% of its answers contain Reddit links, though these links appear later in responses (avg. position 7). Perplexity gives Reddit higher prominence. Only 3.5% of Perplexity answers include Reddit, but those links appear much earlier (avg. position 3). Google AI Mode uses Reddit moderately. Reddit appears in 9% of responses, usua
2. Feb.1 Min. Lesezeit


DEJAN: RexBERT for E-Commerce SEO Tasks
Key Takeaways: RexBERT is a language model specifically trained on E-Commerce data that outperforms general-purpose models Potential...
23. Sept. 20251 Min. Lesezeit


Kopp: MIPS, MUVERA and NSS and their impact on SEO
Search Engines moved beyond keywords into understanding language in the vector space
Maximum Inner Product Search (MIPS) aims at maximizing the inner product of a given query for a set of vectors
23. Juli 20251 Min. Lesezeit
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