🎉 Exciting News! Get Ready for the Third Edition of "Deep Learning & Drinks" 🌟🍻 After the success of our past editions, we're thrilled to announce the return of "Deep Learning Drinks"! Join us for another fantastic evening of casual discussions, great company, and delicious brews. 🤖 🔍 What to Expect: - Dive into the world of Deep Learning in a relaxed atmosphere - Connect with fellow enthusiasts, experts, and newcomers to the field - Foster collaborations and share innovative ideas - Experience the vibrant Deep Learning community of Lisbon 📅 Date & Time: [June 27th] [18h30] 📍 Location: Quiosque da Ribeira das Naus, Cais do Sodré, Lisbon Don't miss out on the opportunity to be part of this growing community. Whether you're a seasoned pro or just starting your journey into AI, all are welcome to join us for an evening of tech and camaraderie. 🚀 Register here: https://lnkd.in/duk5kSDx
Deep Learning Sessions Portugal’s Post
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Generative AI | Prompt Engineering | Python | MLFlow | SageMaker | LLMOps | CrewAI | LangChain | BedRock | Vector DB
Just completed the most advanced Course from DeepLearning.AI
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We're thrilled to announce that we just successfully wrapped up Canonical’s AI Summer Camp, and we’re grateful to everyone who participated. AI Summer Camp might be over, yet the learning never stops! 🚀 If you're eager to discover how to choose the right MLOps tools and bring your AI projects to life, dive into our latest guide on MLOps. The guide covers: 🔸 What is MLOps? 🔸 Benefits of MLOps 🔸 MLOps lifecycle 🔸 MLOps tooling 🔸 Open source MLOps You can access it by clicking the link: https://lnkd.in/dXtQJ4EZ #MLOps
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"Honored to have participated in AI and ML bootcamp. 📚 Engaging discussions, new perspectives, and a wealth of knowledge gained. Looking forward to applying these learnings in my professional journey! #bootcamp #ace.online #Newlearnings
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Hey, Developers & Professionals! 🚀 Are you excited, or worried about the state of Gen AI? 😃🤔 Are you intrigued about skilling in Gen AI and learning various paths going forward? 🤓 We are rolling out an exclusive Gen AI - Weekend course for Developers, Professionals & Executives to learn - What is Gen AI? 🤖 - What are LLMs? Various LLMs available in the market📚 - What is RAG? 📊 - LLM project workflow 🛠️ - Basics of LLM Ops ⚙️ - 2 Mini projects 🧩 Register here: learnai.world 🌐
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Delighted to announce! I'm thrilled to unveil my latest accomplishment: the attainment of my "Fundamentals of Generative AI" badge! It fills me with immense pride to mark this milestone and I aspire to ignite the spark for you to embark on your very own @MicrosoftLearn voyage! Key takeaways from the module: 1. Witnessing the transformative power of AI, from crafting poetry to devising strategic blueprints. 2. Delving into the realm of copilots and their role as tailored aides catering to diverse business requisites. 3. Acknowledging the significance of crafting prompts to elicit optimal AI responses.
Fundamentals of Generative AI
learn.microsoft.com
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Week 8 CUNY Tech Prep This week we learned about decision tree and random forest. I learned that decision tree is good because it is easy to visualize and understand. However, random forest is better at predicting and is more flexible. In addition to that, I also completed the course "Open Source Model with Hugging Face" from deeplearning.ai as a pre classwork. If you are someone trying to learn about hugging face model and its utilization, I highly recommend completing this course! #CTP10 #CUNYTechPrep10 #opensource #machinelearning #huggingface #deeplearning
Open Source Models with Hugging Face
deeplearning.ai
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Responsibly Empowering Information Professionals with AI | Expertise in Knowledge Graphs, NLP & Generative AI
Are you based in Chicago? 1871, Why of AI and MLOps Community are organizing a meetup on Wednesday September 25th with technical talks on ML operations. 📅 Wednesday September 25th ⏰ 6 pm to 8pm 📍1871, 222 W Merchandise Mart Plaza, Chicago, IL 👉 https://lnkd.in/geBnV4jm #MLOps #AI #GenerativeAI
MLOps at 1871 - Fall Edition, Wed, Sep 25, 2024, 6:00 PM | Meetup
meetup.com
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Just finished the course “Fine-Tuning for LLMs: from Beginner to Advanced” by Axel Sirota! Check it out: https://lnkd.in/dz2QiFcP #generativeai #largelanguagemodels #finetuning.
Certificate of Completion
linkedin.com
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🎓 LangChain x Timescale Webinar: Is RAG Really Dead?! Register to attend live or get the recording:🔗 https://lu.ma/rpw9907u With the advent of LLMs with context windows of 1 million tokens (like Google Gemini), many have declared the utility of Retrieval Augmented Generation dead and no longer necessary. But is this actually true? Or simply short-sighted? Join us for a 60 minute live deep dive into the present and future of the popular technique for building AI applications: Retrieval Augmented Generation (RAG). 🧠 Webinar Details Topic: Is RAG Really Dead? Date: TOMORROW, Thursday, 21 March 2024 Time: 12:00 ET / 9:00 PT / 17:00 CET In this live session, you’ll learn about: 1️⃣ The limitations of long context LLMs from “needle in a haystack” evaluations 2️⃣ Potential future trends in RAG in a world with long context LLMs 3️⃣ Techniques for indexing with long context in mind, like RAPTOR and multi-representation 4️⃣ Going beyond simple RAG by adding cycles (C-RAG) and self-reflection (Self-RAG) 5️⃣ Resources and tutorials to further your learning journey Whether you're exploring GenAI for work, already building production AI systems, or simply curious about the latest in techniques for building AI applications, this one-hour event (with Q+A) promises to enrich your understanding and spark ideas to take your projects to the next level. Can't make it live? No sweat, register and we'll send you the recording via email afterward.
Is RAG Really Dead? · Luma
lu.ma
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Excited to share that I've been accepted into Break Through Tech AI Virtual Program. Starting this June, I'm diving into a Machine Learning Foundations Course, learning all about data science and AI. This includes creating real projects with industry tools and teaming up for AI Studio projects. Big Thanks to Break Through Tech for the opportunity! Can't wait to start this journey. #BreakThroughTech #MachineLearning #DataScience
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