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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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Venture Village Wall 🦄

@venturevillagewall · Post #3590 · 12/20/2024, 12:23 PM

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Google's Growth Dilemma Revealed Google faces a challenge with 5.5 billion users searching three times daily, leading to a near 98% penetration of its services. The company's pressure to show growth for investors may have led to risky strategies, including diversifying user journeys to boost commercial queries. A leaked document outlines these changes aimed at enhancing growth beyond organic metrics. Find out more in our podcast: Кухня. 📈 Listen here: Кухня Podcast For the full leaked document: Leaked Document #Google#Search#Users#Growth#Investment#Penetration#CommercialQueries#Tech#Strategy#Marketing#DocumentLeak#Podcast#DigitalMarketing#UserJourney#Innovation#Business#Alphabet#TechCulture#Earnings#MarketTrends