Raymond 🇺🇦🇺🇦🇺🇦🇺🇦Slava Ukraine

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Raymond 🇺🇦🇺🇦🇺🇦🇺🇦Slava Ukraine

Raymond 🇺🇦🇺🇦🇺🇦🇺🇦Slava Ukraine

@gary614thomas

Data Scientist | MSc Advance Data Analytics, BBA Business & Comp Info Sys | Talks about Space and Data Science | Favs & Retweets DO =/= Endorsements. 🇱🇷🇰🇳

Ohio, USA Katılım Aralık 2016
5K Takip Edilen647 Takipçiler
Raymond 🇺🇦🇺🇦🇺🇦🇺🇦Slava Ukraine retweetledi
DataCamp
DataCamp@DataCamp·
Want to build programs in Python that do more than just run in isolation? Input handling is something you need to learn. A step-by-step tutorial: ow.ly/akEf50VKsGT
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Csaba Kissi
Csaba Kissi@csaba_kissi·
Git essential commands
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Python Programming
Python Programming@PythonPr·
Python Commands #python
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Cyrus Shirazi
Cyrus Shirazi@Cyrushshirazi·
Charlie Munger’s checklist for clear thinking:
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Alex Xu
Alex Xu@alexxubyte·
Visualizing a SQL query
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Justin Wolfers
Justin Wolfers@JustinWolfers·
Big thank you to @AliVelshi for giving me a good chunk of air time to explain the Econ 101 of bilateral trade deficits. It matters because this is the intellectual foundation for the President's trade war.
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KDnuggets
KDnuggets@kdnuggets·
A step-by-step guide to securing a FastAPI machine learning applications' endpoints with native authentication and user management. f.mtr.cool/pirtcagvdi
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Shalini Goyal
Shalini Goyal@goyalshaliniuk·
Building Agentic AI Systems? Let me share a Comprehensive Guide with you. When designing smarter AI systems, understanding how agents think, act, and collaborate is the key. Here's a breakdown of the essentials: 1) What is an AI Agent? An AI agent is a system that thinks, plans, and acts independently using LLMs, adapting in real-time with minimal human help. 2) Architectures for Building AI Agents Start with single agents for simple tasks or build multi-agent systems where different agents collaborate and solve complex problems together. 3) Foundations of Agent Design Good agents combine powerful models, smart memory, useful tools, structured instructions, and seamless orchestration to work effectively. 4) Building Guardrails for Safety and Control Safety measures like data privacy, dynamic rules, and human checkpoints keep agents responsible and prevent harmful outcomes. 5) Essential Tools for Building Agentic AI Successful agents rely on LLMs, memory systems, orchestrators, integration tools, guardrails, and monitoring platforms to operate smartly. Save this if you're learning about AI Agents and want a solid foundation and follow me @goyalshaliniuk for more such insights :-) !
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Aadit Sheth
Aadit Sheth@aaditsh·
McKinsey literally compressed 100 years of consulting into an AI chatbot
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Sumanth
Sumanth@Sumanth_077·
Web scraping will never be the same! Crawl4AI is an open-source, LLM-friendly web crawler and scraper, ready for use with LLMs, AI agents, and data pipelines. 100% Open Source
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Ezekiel
Ezekiel@ezekiel_aleke·
How to do data cleaning in SQL:
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Baptiste
Baptiste@BaptisteVicini·
Google DeepMind's CEO just stunned 60 Minutes viewers. The Nobel prize winner revealed: • An AI that can see and understand in real-time • A plan to end ALL diseases in 10 years • Exactly when AI will surpass human intelligence Here are his 4 most jaw-dropping insights:🧵
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Satya Nadella
Satya Nadella@satyanadella·
1/ Big day for Microsoft 365 Copilot: I’m really excited about our latest update. Copilot has truly become the UI for AI – and for me, it’s the scaffolding for my workday. Here are four new features I’ve especially been enjoying.
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Aaron Rupar
Aaron Rupar@atrupar·
Trump: "The United States was ripped off and taken advantage of by every country in the world practically."
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Lior Alexander
Lior Alexander@LiorOnAI·
Google released a list of 321 real-world gen AI use cases from the world's leading organizations. Basically, unlimited business ideas.
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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
"Foundations of Machine Learning" This 505-pages book from MIT for beginners is 💯 FREE.
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