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Marcel Butucea Profile
Marcel Butucea

@marcel_butucea

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2K
Following
18K
Media
272
Statuses
8K

System Design & Architecture & AI Cheerleader ⛷️

Joined October 2017
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@marcel_butucea
Marcel Butucea
14 days
Test your knowledge of LLMs:
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@marcel_butucea
Marcel Butucea
14 hours
RT @Jousefm2: Physics-Informed Neural Networks (PINNs) Repo. There’s a great open-source MATLAB® repository that’s been gaining attention -….
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@marcel_butucea
Marcel Butucea
15 hours
Wow, they turned earthquake data and county boundaries into a natural-language GIS assistant 🌍💡 The LLM actually does spatial queries on Redshift—who.
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aws.amazon.com
Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their...
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@marcel_butucea
Marcel Butucea
15 hours
80-90% of data in org documents is unstructured & untapped?! 🤯 No wonder everyone's drowning in PDFs. AWS's GenAI IDP Accelerator aims to fix that. Will this ac.
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aws.amazon.com
In this post, we introduce our open source GenAI IDP Accelerator—a tested solution that we use to help customers across industries address their document processing challenges. Automated document...
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@marcel_butucea
Marcel Butucea
17 hours
Wow, India's ChatGPT adoption is booming! 🚀 Weekly active users *quadrupled* in a year, and apparently, they have the largest student user base globally! OpenAI is opening its first India office in New Delhi—big move! 🇮🇳.
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analyticsindiamag.com
India is OpenAI’s second-largest market for ChatGPT after the United States, and among the fastest-growing.
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@marcel_butucea
Marcel Butucea
17 hours
90% of enterprise AI projects fail. Most die in data prep or pilot purgatory. 🎯 Turinton's zero-ETL, 8-week deployment model flips the script—proving 'operational'.
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analyticsindiamag.com
Turinton’s Insights AI platform tackles enterprise AI challenges by cutting implementation timelines from eight to 12 months to just eight to 12 weeks.
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@marcel_butucea
Marcel Butucea
19 hours
Struggling with massive Pandas datasets? 😩 This article shows how cuDF leverages Unified Virtual Memory to combine GPU & CPU RAM, letting you process datasets *larger*.
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developer.nvidia.com
Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make iterating on your ideas harder than it…
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@marcel_butucea
Marcel Butucea
19 hours
NVIDIA’s Blackwell GPUs debut NVFP4, a 4-bit floating-point format designed to boost AI inference speed—up to 4x faster for long sequences—while maintaining high accuracy. Read how it's shaping the future of AI:
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developer.nvidia.com
Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. These models are democratizing AI by making model...
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@marcel_butucea
Marcel Butucea
19 hours
Did you know KDE needs over 360,000 points in 6D to match just 22 in 1D? 🤯 Meanwhile, MAF flows learn global patterns efficiently, crushing KDE in high dims—requiring up to 100x fewer sam.
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towardsdatascience.com
Learn why autoregressive flows are the superior density estimation tool for high-dimensional data
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@marcel_butucea
Marcel Butucea
21 hours
Mind blown! 🤯 This article digs into *why* multi-head self-attention works, revealing it's less about independent heads and more about routing info! Turns out, encoder-decoder attention is WAY more reliant on multiple heads. #AI #NLP
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theaisummer.com
Learn everything there is to know about the attention mechanisms of the infamous transformer, through 10+1 hidden insights and observations
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@marcel_butucea
Marcel Butucea
21 hours
Huawei Cloud just *out-gartnered* AWS & Azure with a 4.7/5 customer satisfaction score—despite U.S. sanctions. 🎯. Their secret? A.
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artificialintelligence-news.com
Huawei Cloud continues its innovation in the open, with its first appearance in the Gartner Magic Quadrant for Container Management 2025.
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@marcel_butucea
Marcel Butucea
22 hours
RT @StevePalomares_: Are you confused where to use AI in your business? . Use this simple yet powerful AI prioritization guide, from my new….
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aisalesrevolution.beehiiv.com
AI Strategy Saturday: From Overwhelmed to Organized: The Best AI Starting Point for Your Business
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@marcel_butucea
Marcel Butucea
22 hours
RT @ChainGPT_Pad: 🏆 2024 was a year of milestones for @xyro_io, from MVP development to a vibrant community, and 720k wallets trading $32b….
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@marcel_butucea
Marcel Butucea
23 hours
Walmart's CISO drops intel: AI-powered phishing attacks are now using generative AI to craft 50% more convincing scams. Their secret weapon? They're.
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venturebeat.com
Walmart CISO Jerry Geisler on securing agentic AI, modernizing identity, and Zero Trust for enterprise-scale cybersecurity resilience.
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@marcel_butucea
Marcel Butucea
23 hours
Mind blown! 🤯 Apple's SlowFast-LLaVA-1.5 achieves SOTA long-form video understanding with just 1B params! They used a clever SlowFast mechanism & carefully curated data. Proves you don't need massive models for impressive results.
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machinelearning.apple.com
We introduce SlowFast-LLaVA-1.5 (abbreviated as SF-LLaVA-1.5), a family of video large language models (LLMs) offering a token-efficient…
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@marcel_butucea
Marcel Butucea
23 hours
Did you know Gemini boasts a *million-token* context window and seamless multimodal processing, yet most users still prefer ChatGPT’s smoother UX? 🤔 It’s a stark reminder that technical prowess alone doe.
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gradientflow.com
Subscribe • Previous Issues Why AI Benchmarks Don’t Predict Consumer Success: The Gemini Paradox As someone who works with AI, my toolkit is rarely limited to a single provider. I regularly switch...
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@marcel_butucea
Marcel Butucea
1 day
Tired of being a human report generator? 🤖 This article reveals how NLP can automate soul-crushing data tasks. For example, an auto-report generator script uses natural langua.
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kdnuggets.com
Tired of repeating the same data tasks? Automate them. This article shows beginners how to build efficient, low-maintenance data engineering workflows that pay off in the long run.
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@marcel_butucea
Marcel Butucea
1 day
Mind. Blown. 🤯 Just learned you can chain `.fit()` directly to your model constructor in scikit-learn! One-liners like `LogisticRegression(. ).fit()` not only look cleaner but also streamline your ML workflows. Check out 9 more:
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kdnuggets.com
This tutorial will focus on ten practical one-liners that leverage the power of libraries like Scikit-learn and Pandas to help streamline your machine learning workflows.
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@marcel_butucea
Marcel Butucea
1 day
Gemini crushes benchmarks (million-token context window, flawless multimodal!) but loses to ChatGPT in the real world. Why? Google’s UI is a mess—no editing, clunky model switching, and more. The article nails it: raw power isn’t everything. Read more:
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gradientflow.com
As someone who works with AI, my toolkit is rarely limited to a single provider. I regularly switch between models from Google (Gemini), OpenAI (GPT-X), Anthropic (Claude), and Grok. I also work with...
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@marcel_butucea
Marcel Butucea
1 day
NVIDIA just crammed a 120B-parameter model into a single 80GB GPU using FP4 precision—no 16-bit weights needed! 🔥 Their Blackwell architecture is a game-changer. Read how it enables 1.5M TPS inference:
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developer.nvidia.com
NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI gpt-oss-20b and gpt-oss-120b launch.
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@marcel_butucea
Marcel Butucea
1 day
800x bandwidth leap since 2016?! 🚀 NVIDIA’s 5th-gen NVLink now crams 1,800 GB/s all-to-all in 72-GPU racks—enabling breakthroughs in AI reasoning. Discover how NVIDIA NVLink and NVLink Fusion are scaling AI inference performance and flexibility:
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developer.nvidia.com
The exponential growth in AI model complexity has driven parameter counts from millions to trillions, requiring unprecedented computational resources that require clusters of GPUs to accommodate.
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