• Can someone get me invited ? A pass !

    Y Combinator (YC), a renowned startup accelerator, is hosting its inaugural AI Startup School in San Francisco on June 16–17, 2025. This free two-day event is designed to bring together 2,000 of the brightest minds in AI, including undergraduates, graduate students, and recent graduates in fields like computer science, AI, applied mathematics, and robotics.  

    Keynote Speakers

    The conference boasts an impressive lineup of industry leaders, including:
    • Elon Musk (CEO of Tesla, SpaceX, and xAI)
    • Satya Nadella (CEO of Microsoft)
    • Sam Altman (Co-founder & CEO of OpenAI)
    • Andrej Karpathy (Founder of Eureka)
    • Andrew Ng (Founder of DeepLearning.ai)
    • Jared Kaplan (Co-founder & Chief Science Officer of Anthropic)
    • François Chollet (Co-founder of Ndea and Arc Prize)
    • Aravind Srinivas (Co-founder & CEO of Perplexity)
    • Sriram Krishnan (Senior Policy Advisor for AI, White House)


    Travel & Accommodation

    YC is offering up to $500 in airfare reimbursement for attendees traveling to San Francisco. Additionally, they’re assisting with accommodations by connecting attendees with local startup founders who can provide lodging.  

    Application Details

    Given the selective nature of the event, interested individuals are encouraged to apply promptly. Applications are open to those with strong technical backgrounds, even if they don’t have formal education in AI, as long as they can demonstrate relevant achievements like published papers or significant contributions to open-source projects.  

    For more information and to apply, visit the official AI Startup School page. 

    If you need assistance with the application process or have further questions, feel free to ask!
    Can someone get me invited ? A pass ! Y Combinator (YC), a renowned startup accelerator, is hosting its inaugural AI Startup School in San Francisco on June 16–17, 2025. This free two-day event is designed to bring together 2,000 of the brightest minds in AI, including undergraduates, graduate students, and recent graduates in fields like computer science, AI, applied mathematics, and robotics.   🎤 Keynote Speakers The conference boasts an impressive lineup of industry leaders, including: • Elon Musk (CEO of Tesla, SpaceX, and xAI) • Satya Nadella (CEO of Microsoft) • Sam Altman (Co-founder & CEO of OpenAI) • Andrej Karpathy (Founder of Eureka) • Andrew Ng (Founder of DeepLearning.ai) • Jared Kaplan (Co-founder & Chief Science Officer of Anthropic) • François Chollet (Co-founder of Ndea and Arc Prize) • Aravind Srinivas (Co-founder & CEO of Perplexity) • Sriram Krishnan (Senior Policy Advisor for AI, White House)  ✈️ Travel & Accommodation YC is offering up to $500 in airfare reimbursement for attendees traveling to San Francisco. Additionally, they’re assisting with accommodations by connecting attendees with local startup founders who can provide lodging.   📝 Application Details Given the selective nature of the event, interested individuals are encouraged to apply promptly. Applications are open to those with strong technical backgrounds, even if they don’t have formal education in AI, as long as they can demonstrate relevant achievements like published papers or significant contributions to open-source projects.   For more information and to apply, visit the official AI Startup School page.  If you need assistance with the application process or have further questions, feel free to ask!
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  • The LLAma Effect

    Just a few months ago, we only witnessed major players like Google, OpenAI, Microsoft, Amazon, and Meta making advancements in LLMs.

    Then something incredible happened, completely changing the game: LLama was leaked from Meta and triggered the research and the engineering community.

    𝐋𝐋𝐚𝐦𝐚 was originally released in different formats: 7B, 13B, 33B, and 65B parameters, and, despite being smaller than GPT-3, it matched the performance in many tasks.

    So what? Well... The staggering amount of innovation triggered in just a few weeks is:
    Stanford released 𝐀𝐥𝐩𝐚𝐜𝐚, an instruction-following LLama model
    𝐕𝐢𝐜𝐮𝐧𝐚 was released from University of California, Berkeley, Carnegie Mellon University, Stanford University, and UC San Diego. Its a fine-tuned version of LLama that matches 𝐆𝐏𝐓-4 performance
    Berkley AI Research Institute released 𝐊𝐨𝐚𝐥𝐚, a fined tuned version of LLama
    Nebuly open-sourced 𝐂𝐡𝐚𝐭𝐋𝐋𝐚𝐦𝐚, a framework for creating conversational assistants using your own data
    𝐅𝐫𝐞𝐞𝐝𝐨𝐦𝐆𝐏𝐓 was released as an open-source conversational agent based on Alpaca
    UC Berkeley released 𝐂𝐨𝐥𝐨𝐬𝐬𝐚𝐥𝐂𝐡𝐚𝐭, a ChatGPT type model with RLHF pipeline based on LLama

    It is not finished here

    In addition, Databricks released 𝐃𝐨𝐥𝐥𝐲, the worlds first truly open Instruction-Tuned LLM, which can be used for commercial uses

    All of this happened in 40 days. Mind-blowing.

    Write your thoughts in the comments 🏻

    #ai #innovation #data #deeplearning #generativeai #deeplearningai #llama #chatgpt #research #engineering #google #university #microsoft #amazon #meta

    Via https://www.linkedin.com/in/nicola-massarenti
    The LLAma Effect Just a few months ago, we only witnessed major players like Google, OpenAI, Microsoft, Amazon, and Meta making advancements in LLMs. Then something incredible happened, completely changing the game: LLama was leaked from Meta and triggered the research and the engineering community. 𝐋𝐋𝐚𝐦𝐚 was originally released in different formats: 7B, 13B, 33B, and 65B parameters, and, despite being smaller than GPT-3, it matched the performance in many tasks. So what? Well... The staggering amount of innovation triggered in just a few weeks is: ✅ Stanford released 𝐀𝐥𝐩𝐚𝐜𝐚, an instruction-following LLama model ✅ 𝐕𝐢𝐜𝐮𝐧𝐚 was released from University of California, Berkeley, Carnegie Mellon University, Stanford University, and UC San Diego. It's a fine-tuned version of LLama that matches 𝐆𝐏𝐓-4 performance ✅ Berkley AI Research Institute released 𝐊𝐨𝐚𝐥𝐚, a fined tuned version of LLama ✅ Nebuly open-sourced 𝐂𝐡𝐚𝐭𝐋𝐋𝐚𝐦𝐚, a framework for creating conversational assistants using your own data ✅ 𝐅𝐫𝐞𝐞𝐝𝐨𝐦𝐆𝐏𝐓 was released as an open-source conversational agent based on Alpaca ✅ UC Berkeley released 𝐂𝐨𝐥𝐨𝐬𝐬𝐚𝐥𝐂𝐡𝐚𝐭, a ChatGPT type model with RLHF pipeline based on LLama It is not finished here 🤯 ➡️ In addition, Databricks released 𝐃𝐨𝐥𝐥𝐲, the world's first truly open Instruction-Tuned LLM, which can be used for commercial uses 🎊 🎉 All of this happened in 40 days. Mind-blowing. Write your thoughts in the comments 🤞🏻 #ai #innovation #data #deeplearning #generativeai #deeplearningai #llama #chatgpt #research #engineering #google #university #microsoft #amazon #meta Via https://www.linkedin.com/in/nicola-massarenti
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  • Free AI courses

    1. ChatGPT Prompt Engineering for Developers

    A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI.

    https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

    2. AI For Everyone

    An intro AI course for everyone, including if you are non-technical.

    https://www.coursera.org/learn/ai-for-everyone

    3. Harvard CS50

    Learn the basics of AI machine learning with Python.

    https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

    4. Stanford CS 224N

    An introduction to natural language processing (NLP) and how it works.

    https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ

    5. Learn Prompting

    A comprehensive course in prompt engineering with over 60 content modules.

    Takes you from beginner to advanced.

    https://learnprompting.org/

    6. Introduction to Machine Learning

    Googles free intro course in Machine Learning.

    https://developers.google.com/machine-learning/crash-course/ml-intro
    Free AI courses 1. ChatGPT Prompt Engineering for Developers A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI. https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ 2. AI For Everyone An intro AI course for everyone, including if you are non-technical. https://www.coursera.org/learn/ai-for-everyone 3. Harvard CS50 Learn the basics of AI machine learning with Python. https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python 4. Stanford CS 224N An introduction to natural language processing (NLP) and how it works. https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ 5. Learn Prompting A comprehensive course in prompt engineering with over 60 content modules. Takes you from beginner to advanced. https://learnprompting.org/ 6. Introduction to Machine Learning Google's free intro course in Machine Learning. https://developers.google.com/machine-learning/crash-course/ml-intro
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  • Two Titans of Artificial Intelligence — Two Paths, One Revolution

    Yann LeCun — French-American scientist, father of deep learning, and Chief AI Scientist at Meta (Facebook).
    He helped create the very foundations of today’s AI — from convolutional neural networks to PyTorch.
    He believes AI should be open, shared, and developed responsibly for humanity’s long-term progress.

    Andrew Ng — Co-founder of Coursera, founder of DeepLearning.AI, and one of the greatest AI educators alive.
    Over 8 million students have learned from his courses.
    He made AI education free, global, and reachable for everyone — not just Silicon Valley.

    One builds the science of AI.
    The other builds the people of AI.
    Together, they are shaping how the world learns, thinks, and leads with intelligence.

    At Rehan School, we follow their example — combining education + innovation to create 1,000 leaders who will build million-dollar startups and impact 1 million lives.

    #AILeaders #YannLeCun #AndrewNg #RehanSchool #LearnAI #DeepLearning #Pakistan2030 #AIForGood
    🌍 Two Titans of Artificial Intelligence — Two Paths, One Revolution 💡 Yann LeCun — French-American scientist, father of deep learning, and Chief AI Scientist at Meta (Facebook). He helped create the very foundations of today’s AI — from convolutional neural networks to PyTorch. He believes AI should be open, shared, and developed responsibly for humanity’s long-term progress. 🚀 Andrew Ng — Co-founder of Coursera, founder of DeepLearning.AI, and one of the greatest AI educators alive. Over 8 million students have learned from his courses. He made AI education free, global, and reachable for everyone — not just Silicon Valley. ✨ One builds the science of AI. ✨ The other builds the people of AI. Together, they are shaping how the world learns, thinks, and leads with intelligence. At Rehan School, we follow their example — combining education + innovation to create 1,000 leaders who will build million-dollar startups and impact 1 million lives. #AILeaders #YannLeCun #AndrewNg #RehanSchool #LearnAI #DeepLearning #Pakistan2030 #AIForGood
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  • Anthropic just caught 3 chinese AI labs stealing from Claude

    [Funny, meme, explore, AI, claude, DeepSeek, Chinese models]

    #analyticsvidhya #meme #trending #meme #datascience #technology #tech #machinelearning #deeplearning
    Anthropic just caught 3 chinese AI labs stealing from Claude [Funny, meme, explore, AI, claude, DeepSeek, Chinese models] #analyticsvidhya #meme #trending #meme #datascience #technology #tech #machinelearning #deeplearning
    0 Comentários 0 Compartilhamentos 1534 Visualizações