@nile11.bsky.socialGoogle AI Edge Foresight Runs AI Meeting Notes Offline on Mac
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https://nile1.com/google-ai-edge-foresight-runs-ai-meeting-notes-offline-on-mac/
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#aiMeetingNotes #appleSilicon #embeddinggemma2 #gemma4 #googleAiEdgeForesight #granola #localProcessing #macAiApp #offl
@hacks.grGoogle’s new Mac meeting-notes app can transcribe conversations, organize notes and use files you add.
Google says it works fully offline on Macs with Ap…
@nile11.bsky.socialGoogle AI Edge Foresight Brings Offline Meeting Notes to Mac
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https://nile1.com/google-ai-edge-foresight-brings-offline-meeting-notes-to-mac/
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#aiNotetaker #appleSilicon #embeddinggemma2 #fathom #gemma4 #googleAiEdgeForesight #granola #localModels #offlineMeetingN
@aidailypost.comGoogle just dropped EmbeddingGemma 2, a multimodal, open-source embedding model that beats rivals twice its size—perfect for retrieval-augmented generation and vector DBs. Curious? Dive into the details! #EmbeddingGemma2 #OpenSourceAI #Gemma4
@donwebmedia.bsky.social
@harushark3.bsky.social@aidailypost.comNew research shows LLMs like Qwen2.5-7B and Gemma4-31B develop unique internal patterns for each reasoning step. Think chain‑of‑thought is just a prompt? Think again. Dive into the details! #ChainOfThought #Qwen2_5 #Gemma4
@spaisee.bsky.socialYour workload decides: Gemma 4 makes speculative decoding practical, not just promising.
#MachineLearning #LocalAI #Gemma4 https://spaisee.com/article/gemma-4-turns-speculative-decoding-into-a-practical-local-ai-decision
@spaisee.bsky.socialThe future of local inference may arrive in guesses. Gemma 4 shows when those guesses pay off.
#LocalAI #Inference #Gemma4 https://spaisee.com/article/gemma-4-turns-speculative-decoding-into-a-practical-local-ai-decision
@spaisee.bsky.socialCan AI draft its own next tokens? Gemma 4 makes speculative decoding a real local-AI tradeoff.
#Gemma4 #LocalAI #SpeculativeDecoding https://spaisee.com/article/gemma-4-turns-speculative-decoding-into-a-practical-local-ai-decision
@yoshimov.info最近 #Codex もすぐ上限に行くので、ローカルで #Gemma4 31Bとかを使ってみてますが、 #RTX5060Ti 16GBぐらいじゃ全然快適に動かない。やっぱり #RTXSpark あたりを狙ったほうが良いんですかね。
@spaisee.bsky.socialFaster local AI, or wasted compute? Gemma 4’s MTP drafters make speed a workload-dependent bet.
#AI #Gemma4 #EdgeAI https://spaisee.com/article/gemma-4-turns-speculative-decoding-into-a-practical-local-ai-decision