Daniel Fernandez’s Post

𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗡𝗲𝘄𝘀: 𝗔𝗜 𝗣𝗶𝗼𝗻𝗲𝗲𝗿 The Goat 🐐 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆 𝗟𝗮𝘂𝗻𝗰𝗵𝗲𝘀 𝗚𝗿𝗼𝘂𝗻𝗱𝗯𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗘𝗱𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 𝗘𝘂𝗿𝗲𝗸𝗮 𝗟𝗮𝗯𝘀 In an exciting development in the intersection of artificial intelligence and education, renowned AI expert Andrej Karpathy has unveiled his latest venture, Eureka Labs. This innovative company aims to revolutionize the learning experience by creating an AI-native school, leveraging cutting-edge generative AI technology. Karpathy, known for his influential work at Stanford, Tesla, and OpenAI, envisions a future where high-quality education is accessible to all. "Imagine learning physics with the guidance of a virtual Richard Feynman," Karpathy says, highlighting the potential of AI to provide personalized, on-demand tutoring. Eureka Labs’ first product, LLM101n, promises to set a new standard in AI education. This undergraduate-level course will guide students through training their own AI, mirroring the AI Teaching Assistant that will be integral to Eureka Labs' curriculum. The course will be available online and through physical cohorts, ensuring a broad and inclusive reach. "This journey is the culmination of my lifelong passion for AI and education," Karpathy reflects. "From creating YouTube tutorials on solving Rubik’s cubes to founding the influential CS231n course at Stanford, and his Zero-to-Hero AI series, Karpathy’s dedication to education has been a constant." Now, with Eureka Labs, he is set to merge his expertise in AI and education full-time, aiming to make learning easy and accessible for everyone." Eureka Labs is poised to expand education in both reach and depth, utilizing AI to unlock human potential. The company’s ambitious vision and Karpathy's track record make this a development to watch closely. For more information, visit Website: https://eurekalabs.ai GitHub: https://lnkd.in/g2aikcsZ 𝕏: @EurekaLabsAI

💥 Andrej Karpathy announced Eureka Labs 🎉 ⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs. The announcement: --- We are Eureka Labs and we are building a new kind of school that is AI native. How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand. However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted). Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together. Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn? --- @EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time. It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply! Website: eurekalabs.ai GitHub: github.com/EurekaLabsAI #machinelearning #edtech

Exploring Prompt Engineering and Learning 🧠🚀 In-Context Learning: This helps computers adjust their responses based on the context provided, making them more precise and tailored. Prompt Engineering: Crafting clues strategically to guide computer responses toward desired outcomes. Effective Prompts: Best practices include keeping prompts concise and specific, focusing on one task at a time, providing detailed context, and using examples for better understanding. Zero-Shot vs. Few-Shot: Different approaches to asking questions, with few-shot prompting offering more control and typically better results, especially for complex questions. Elements of a Prompt: Well-structured prompts include instructions, context, input data, and output indicators, which enhance prompt effectiveness. Token Limits: Understanding the token limits of computers is crucial for efficient prompt design, ensuring optimal performance. Keep Learning: Mastery in prompt engineering comes with practice and staying updated with best practices and resources in this dynamic field. Excited to continue exploring this fascinating field and pushing the boundaries of AI capabilities! 🚀✨ thanks to GTech MuLearn and Pathway Link to the repo : https://lnkd.in/giNVyrfb #pathway #GtechMulearn #pathwayGenai

I've just wrapped up an excellent course on Generative AI for Natural Language Processing. Ali Lakdawala and Davood Wadi have been excellent teachers and mentors. If you're interested in strengthening your skills for LLM implementations, feel free to check out the coursework in my repo. You can register for the course here: https://lnkd.in/g-yUfZg5 #AI #NLP #GenerativeAI #TechEducation #CareerGrowth #UTAustin #DataScience #ProfessionalDevelopment #ContinuousLearning

🚀 Introducing LectureLoom: Transforming YouTube Lectures into Concise Notes with AI 🚀 Hello LinkedIn community! Excited to unveil LectureLoom, an AI tool that converts YouTube lectures into clear, concise notes. With Generative Ai, save time and enhance learning by accessing essential lecture content instantly. Key Features: 🔸 AI-Powered Summaries: Analyzes lecture content to provide accurate, well-structured notes. 🔸 Time-Efficient Learning: Save hours of note-taking and re-watching. 🔸 Accessibility: Enhances learning across various subjects for students, professionals, and lifelong learners. 🔸 Supports Various Disciplines: Versatile tool suitable for diverse educational content. Explore the details of the project : https://lnkd.in/g2uks2CW A special thanks to Krish Naik and Deependra Verma for their inspiration in this journey. 📢 I'm eager for your feedback and suggestions to refine LectureLoom. Let's innovate learning together! 😉 #LectureLoom #generatieveai #EdTech #AIForEducation #LearningInnovation #youtubelearning #continuouslearning

For those of you interested in embeddings. Binary and scalar quantization are a great optimization. Always a trade-off between precision and efficiency, but a 32x reduction in memory and faster retrieval... not bad. https://lnkd.in/eRSZ_HcX #NLP #MachineLearning #Quantization

https://lnkd.in/gYqmWwCR has just added 6 new interesting Artificial Intelligence (AI) code examples: 1. Mistral Large Language Model (LLM) function calling with SQL queries 2. Automatically generate alt text descriptions of images in a web (HTML) page 3. Image text extraction from PaperCards 4. Multi AI agent system for financial analysis with crewAI 5. AutoGen multi AI agent blog post writing using reflection 6. AutoGen AI agent Google Trends analysis using LangChain tools

🚀 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗧𝗲𝘅𝘁 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜! 🚀 Just completed an exciting lab project diving deep into the capabilities of Microsoft Azure’s Text Analytics tools! This hands-on experience unlocked the potential of AI to turn raw text into actionable insights in no time. 🌟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 💬 Sentiment Analysis: Detect emotional tone and sentiment from text at scale. 🔑 Key Phrase Extraction: Uncover core topics and ideas with ease. 📍 Entity Recognition: Identify names, dates, places, and more with pinpoint accuracy. This project not only sharpened my 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣) skills but also opened up new possibilities for leveraging Azure’s AI solutions in real-world applications. 💡✨ 🔗 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗱𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀? Explore the code and insights on my GitHub Repository!: https://lnkd.in/gSE6k3tz #AzureAI #AIML #NLP #MicrosoftAzure ICT Academy Infosys

Hello connections !! I’ve successfully completed a machine learning project focused on fake Article detection. The model is designed using both matching learning and deep learning techniques. It leverages TensorFlow to train and evaluate algorithms on a dataset of articles. The matching learning component compares content features to identify discrepancies, while the deep learning model learns complex patterns to detect fake news. This dual approach enhances accuracy and reliability. The result is a robust system capable of effectively distinguishing between genuine and deceptive articles. I developed this Model 1. By using Logistic Regression(Machine Learning Algorithm) 2. By using Neural Networks and frameworks like Tensorflow ,Keras This project was a great opportunity to apply advanced techniques in AI and enhance my skills in TensorFlow. I’m grateful for the support and resources provided by my mentors and peers throughout this journey. A big thank you to my mentors Nagendra Kishore Girajala sir, Aravind Pappala sir for their valuable guidance and feedback. I’m eager to continue exploring new challenges and innovations in the AI field! A special thank you to Babji Neelam Sir, the CEO of TECHNICAL HUB , for the incredible opportunity to work on AI . I am excited to contribute my skills and insights to advance our AI capabilities and make a meaningful impact with this innovative work. #machinelearning #deeplearning #generativeai #projectshowcase #ai #Innovation https://lnkd.in/gj3kD-Ba

Conversation with my 8 year old son in the car... who is realtively unaware of #GenAI, #ai and #ml (paraphrasing due to conversational hesitation). I was genuinely taken back by his directness and intuition. Perhaps #AI in the world already being used day to day is impacting a younger generation. boy: They should just build cars so they can drive themselves so we can just sit here me: They are trying to do that, it's just very hard because computers can't see like we can boy: They can just put camera's on the car and teach it to drive me: Yeah that's the general idea, but the human mind has a unique capability to infer and extrapolate ideas and thoughts based on previous knowledge and experience of completely unrelated events and data to do things like avoid driving into people... computers using current methods just can't do that. boy: they could just program a computer that's the exact way a human brain is made up and works then it would be able to me (quite stunned at this point): Well they are trying to do that too very successfully but we just don't have enough computing power or knowledge of how it works to simulate a human brain. If anyone hasn't seen this - https://lnkd.in/ePquT7Mu https://lnkd.in/eBWv-2Zu