50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience
GENERATIVE AI
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50 ML Projects to Understand LLMs and Transformer Mechanisms
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NVIDIA Launches AI Runtime with A10 H100 GPUs on Databricks
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Today at #NVIDIAGTC, we’re introducing AI Runtime, with serverless NVIDIA A10 and H100 GPUs now available on Databricks for training and fine-tuning.
— Databricks (@databricks) 19 mars 2026
GPU infrastructure has been one of the biggest blockers for teams building advanced AI, from long procurement cycles to complex… pic.twitter.com/dWouC8G76vToday at #NVIDIAGTC, we’re introducing AI Runtime, with serverless NVIDIA A10 and H100 GPUs now available on Databricks for training and fine-tuning. GPU infrastructure has been one of the biggest blockers for teams building advanced AI, from long procurement cycles to complex
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Platform dependency risk with proprietary AI APIs
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The platform dependency risk is real. Same worry with any tool built entirely on top of someone else's API. I see myself a bit too dependent on anthropic these days with nothing working as well as cowork for some of my workflows.
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Frontier AI Coding API Pricing at $0.50 per Million Tokens
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$0.50/M input for frontier-level coding is next level for the cost side. Curious how it stacks up for longer multi-step tasks!
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Open source quality concerns: attribution and filtering for AI-generated content
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The open source slop problem is a bit alarming TBH. We need better attribution and filtering rather than pulling back from open contributions entirely.
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Self-Improving AI Skills Gaining Momentum
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Super cool to see self-improving skills getting more attention! Will play around when it's out 😀
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AMD CEO Lisa Su meets Upstage in Seoul for AI partnership
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Honored to meet AMD CEO @LisaSu in Seoul. We're adopting AMD's Instinct MI355X GPU to power our Upstage Solar LLM and Korea's sovereign AI. The future of AI is being built right here. 🇰🇷🚀 #AMD #AI #Upstage #SolarLLM
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Bezos Prepares $100 Billion to Revolutionize Manufacturing with AI
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Jeff Bezos is preparing one of the biggest industrial bets of the decade. $100 billion. A fund to acquire manufacturing companies and transform them with AI. According to the Wall Street Journal, Bezos has already met with sovereign wealth funds in the Middle East and Singapore to raise this colossal amount. Targeted sectors: semiconductors, defense, aerospace. The project is called "Project Prometheus" — a startup of which Bezos is co-CEO, dedicated to applying generative AI to engineering and industrial production. It has already raised $6.2 billion by end of 2025. And on the board? David Limp, the CEO of Blue Origin. What you need to understand: – So far, the AI race has been playing out in software. Chatbots, image generation, code. – Bezos just moved the playing field into the physical world. – We're talking about reinventing how we manufacture chips, aircraft, cars. With AI as the engine. AI won't just change what we see on our screens. It will change what we build with our hands. And Bezos just put $100 billion on this conviction. The Wall Street Journal (@WSJ) Breaking: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them wsj.com/tech/jeff-bezos-aims… — https://nitter.net/WSJ/status/2034706038448881849#m [Translated from EN to English]
→ View original post on X — @flashtweet, 2026-03-19 20:34 UTC
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WhatsApp Agent with Persistent Memory and Learning Capabilities
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Persistent WhatsApp Agent
— Abacus.AI (@abacusai) 19 mars 2026
The agent remembers.
Preferences, conversations, context – stored and updated after every interaction.
It improves over time. pic.twitter.com/XuFV5uXzqJPersistent WhatsApp Agent The agent remembers. Preferences, conversations, context – stored and updated after every interaction.
It improves over time.