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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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@tonlines · Post #7071 · 05/06/2025, 04:49 PM
Tribute Empowers Creators with Public API Access #Tribute#webhooks @TributeNewsEN introduces public API access keys, allowing for seamless data integration with external services. Currently, creators can utilize two webhooks for subscription management. Source: link @tonlines
@abmedia_news · Post #24369 · 05/05/2026, 08:03 AM
【🤖 AI人工智慧｜Gemini API 推 Webhooks：Google 解決長任務輪詢痛點、Batch／Veo 可即時推送】 #Google#GeminiAPI#Webhooks Google 於 5 月 4 日上線 Gemini API Webhooks，解決長任務開發者頻繁輪詢的痛點。 該功能支援 Batch 與 Veo 2 結果主動推送，Logan Kilpatrick 稱此舉大幅優化 DevX。相較 OpenAI 專注消費端產品，Google 則選擇持續深耕開發者基建路線。 📍閱讀全文： https://abmedia.io/gemini-api-webhooks-event-driven-long-running-tasks-may-2026 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
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@djangoproject · Post #604 · 06/10/2019, 04:45 PM
https://nordicapis.com/when-to-use-what-rest-graphql-webhooks-grpc/ When to Use What: #REST, #GraphQL, #Webhooks, & #gRPC