AI Interview Series #4: Explain KV CachingMarkTechPost Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the primary bottleneck, what inefficiency is causing this slowdown, and how would you redesign the inference
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Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the primary bottleneck, what inefficiency is causing this slowdown, and how would you redesign the inference
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The U.S. Department of Justice (DoJ) this week announced the indictment of 54 individuals in connection with a multi-million dollar ATM jackpotting scheme. The large-scale conspiracy involved deploying malware named Ploutus to hack into automated teller machines (ATMs) across the U.S. and force them to dispense cash. The indicted members are alleged to be part […]
The UEFI firmware implementation in some motherboards from ASUS, Gigabyte, MSI, and ASRock is vulnerable to direct memory access (DMA) attacks that can bypass early-boot memory protections. […] Read More
Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K ContextMarkTechPost Google has released T5Gemma 2, a family of open encoder-decoder Transformer checkpoints built by adapting Gemma 3 pretrained weights into an encoder-decoder layout, then continuing pretraining with the UL2 objective. The release is pretrained only, intended for developers to post-train for specific tasks, and Google explicitly notes it is not releasing post-trained or IT checkpoints
The post Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context appeared first on MarkTechPost.
Google has released T5Gemma 2, a family of open encoder-decoder Transformer checkpoints built by adapting Gemma 3 pretrained weights into an encoder-decoder layout, then continuing pretraining with the UL2 objective. The release is pretrained only, intended for developers to post-train for specific tasks, and Google explicitly notes it is not releasing post-trained or IT checkpoints
The post Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context appeared first on MarkTechPost. Read More
5 Useful Python Scripts to Automate Boring Everyday TasksKDnuggets Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.
Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity. Read More
Marketing agencies using AI in workflows serve more clientsAI News Of all the many industries, it’s marketing where AI is no longer an “innovation lab” side project but embedded in briefs, production pipelines, approvals, and media optimisation. A WPP iQ post published in December, based on a webinar with WPP and Stability AI, shows what AI deployment in daily operations looks like. Here, we’re talking
The post Marketing agencies using AI in workflows serve more clients appeared first on AI News.
Of all the many industries, it’s marketing where AI is no longer an “innovation lab” side project but embedded in briefs, production pipelines, approvals, and media optimisation. A WPP iQ post published in December, based on a webinar with WPP and Stability AI, shows what AI deployment in daily operations looks like. Here, we’re talking
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How I Optimized My Leaf Raking Strategy Using Linear ProgrammingTowards Data Science From a weekend chore to a fun application of valuable operations research principles
The post How I Optimized My Leaf Raking Strategy Using Linear Programming appeared first on Towards Data Science.
From a weekend chore to a fun application of valuable operations research principles
The post How I Optimized My Leaf Raking Strategy Using Linear Programming appeared first on Towards Data Science. Read More
The Machine Learning “Advent Calendar” Day 19: Bagging in ExcelTowards Data Science Understanding ensemble learning from first principles in Excel
The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science.
Understanding ensemble learning from first principles in Excel
The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science. Read More
Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)Towards Data Science Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows.
The post Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) appeared first on Towards Data Science.
Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows.
The post Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) appeared first on Towards Data Science. Read More
Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at ScaleMarkTechPost Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company’s Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure, and it does this at an aggressive price of $2 per 1,000 pages with
The post Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale appeared first on MarkTechPost.
Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company’s Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure, and it does this at an aggressive price of $2 per 1,000 pages with
The post Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale appeared first on MarkTechPost. Read More
