TuringPost @TheTuringPost
Newsletter exploring AI&ML - AI 101, Agentic Workflow, Business insights. From ML history to AI trends. Led by @kseniase_ Know what you are talking about👇🏼 turingpost.com/subscribe Join over 95,000 readers Joined June 2020-
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TuringPost retweeted
Compute is not a big deal for LLMs now, but memory is. It's an idea used in XQuant – a new method by @UCBerkeley created to reduce memory use up to 12x. - XQuant doesn't store usual KV cache - It quantizes and stores only X - the layer input activations - When needed, it…
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TuringPost retweeted
Multi-Head Attention (MHA) vs Grouped-Query Attention (GQA) - unpacking the most popular attention mechanisms ➡️ Multi-Head Attention (MHA): Accuracy at a cost MHA is the original self-attention design from Attention Is All You Need. It captures rich contextual information but…
TuringPost retweeted
Embeddings go on-device ⬇️ EmbeddingGemma – a new open multilingual embedding model with 308M parameters, optimized for speed, privacy, and efficiency. It's based on Gemma 3 and trained on 100+ languages Why it matters: ▸ A top open multilingual embedding model under 500M on…
An honest opinion after two years with Tesla’s Full Self-Driving from our @Kseniase_ ⬇️ We bet Tesla will win the robotaxi war against Waymo 👀 Watch this video youtube.com/watch?v=EKEtz1… for more about the future of robotaxis plus 3 wow AI moments: - China’s big brain-computer…
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