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🎉 Delighted to announce my accomplishment of completing the “Get Ready for Generative AI” certification from LinkedIn Learning! 🚀 This course provided a comprehensive exploration into the realm of Generative AI, including core concepts, real-world applications, and the promising future of AI technology. Here are a few key takeaways: Understanding Generative AI: Gained a deep understanding of how Generative AI models like GPT-3 and others work, including their architecture and training processes. Practical Applications : Explored various use cases of Generative AI across different industries such as content creation, customer service, and personalized marketing. Ethical Considerations : Delved into the ethical implications of using AI, emphasizing the importance of responsible AI deployment. Hands-on Experience : Engaged in practical exercises that provided hands-on experience with AI tools, enhancing my skills in creating AI-driven solutions. This certification has equipped me with valuable insights and skills that I’m excited to apply in my professional journey. A big thank you to the instructors and LinkedIn Learning for this comprehensive course! Looking forward to connecting with fellow AI enthusiasts and exploring opportunities to collaborate on innovative AI projects.  Feel free to reach out! https://lnkd.in/ek68S8U7 #GenerativeAI #ArtificialIntelligence #LinkedInLearning #LifelongLearning  #AI #Certification

🌟 Begin Your AI Journey with Ease with our first AI-thon module! The first module of this LinkedIn Learning course is led by AI expert Pinar Seyhan Demirdag. Quick & Insightful: 🚀 Introduction (1 min 6 sec) 🌐 What is Generative AI? (3 min 33 sec) 🤖 How it differs from other AI (2 min 12 sec) ✍️ Create your own content (4 min 48 sec) Why This Module? Perfect for busy schedules and easy to understand, with no prior knowledge required! Plus, earn a free certificate that you can share on LinkedIn. Take the First Step: Dive into generative AI and start shaping your future with this quick and engaging module. Ideal for professionals across all fields! 🌐 https://lnkd.in/gZenTmiD #ai4ms #msaithon #msaicollab

🎉 Exciting News! 🎉 I'm thrilled to share that I've just earned my Generative AI Certificate from LinkedIn Learning! This course has been an incredible journey into the world of artificial intelligence, focusing on the fascinating area of generative models. Throughout the course, I've gained valuable insights into: - Understanding the principles and applications of generative AI - Practical applications of generative AI in various industries A big thank you to the LinkedIn Learning team and the course instructors for providing such a comprehensive and engaging learning experience. Check it out: https://lnkd.in/dpwwpyuf #generativeai #artificialintelligencefordesign #artificialintelligenceforbusiness #artificialintelligence

How are AI models getting smarter and more precise by the day? 🤔 Have you thought about this and what is happening under the hood? The secret lies in supervised fine-tuning, a technique transforming the way we leverage machine learning. By meticulously training models on specific, curated datasets, we are not only enhancing their accuracy but also customizing them to meet real-world requirements. 🌐✨ To understand SFT (Supervised Fine-Tuning), you need to familiarize yourself with the 3 steps that fine-tune a model: Step 1: Pre-training 🧠: The base model (usually a Large Language Model) is trained on a vast dataset, helping it grasp language patterns and context by predicting the next word in a sentence. This stage is crucial as it provides the model with a broad understanding of language. Step 2: Data Labelling 🏷️: In this phase, we prepare the dataset for fine-tuning, labelling each data point with the correct output. This labeled data is vital for supervised learning, allowing the model to adjust its parameters during the fine-tuning process. Step 3: Fine-tuning 🎯: The pre-trained model is further trained on a task-specific labelled dataset. Here, the model tweaks its parameters to enhance its performance for the specific task at hand. The most widely used SFT techniques belong to the Parameter-Efficient Fine-Tuning (PEFT) family, such as LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA). 📊🔧 However, SFT comes with its challenges. Overfitting the model to the training data can lead to suboptimal generalization on unseen data, and issues with hyperparameter tuning and data quality can arise. Remember, fine-tuning is only as good as the data you provide. This space is gaining a lot of attention as fine-tuning LLMs improves performance, resource efficiency, and customization for specific use cases. 🚀 For anyone working in the AI space, mastering the basic techniques to fine-tune a model will be crucial going forward. 💡 #AI #MachineLearning #SupervisedFineTuning #DataScience #TechInnovation #FutureOfAI

I spent my Monday learning from AI experts at Google! Google just released a new course - Google AI Essentials 🙌 A course I would recommend to anyone looking to apply generative AI to their work. Gain insights and learn the fundamentals to help you in your role or business. In the course you'll learn: 💡 How to use generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks 🎯 Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarise, create tag lines, and more ⚖️ Understand how to use AI responsibly by identifying AI’s potential biases and avoiding harm 📚 Develop strategies to stay up-to-date in the emerging landscape of AI #NeverStopLearning Access the course here ➡️ https://lnkd.in/dGcBJNur Happy learning! #AIEssentials #PromptEngineering #LargeLanguageModels #LLMs #GenerativeAI

I'm excited to share my first step into the world of generative AI! 🌟 I've been learning how to create images using AI, and I just completed a basic project that turns text descriptions into pictures. By using a model called Stable Diffusion, I was able to generate an image of "A white cat sitting next to a Christmas tree" simply from that description! Here's a quick breakdown of what I did: 1. Installed essential AI tools like `huggingface_hub`, `diffusers`, and `transformers`. 2. Logged into Hugging Face to access pre-trained models. 3. Loaded the Stable Diffusion model to generate images. 4. Provided a text prompt and let the AI create the image. This project was a fun and enlightening experience, showcasing how AI can transform words into visuals. It's fascinating to see the power of technology in action, making creativity more accessible and automated. I'm looking forward to diving deeper into generative AI and exploring its endless possibilities. Stay tuned for more updates on my AI journey! 🚀 Github Link: https://lnkd.in/dpGgBmwp Check out the README for more details. #GenerativeAI #ArtificialIntelligence #MachineLearning #TechLearning #AI #Creativity #Innovation

🎉 Exciting News! I've just completed the "Generative AI" course by DeepLearning.AI, marking my fourth course in the fascinating world of Machine Learning and AI. This comprehensive course covered the essentials and more: 📚 What is Generative AI? An introduction to the capabilities and limitations of this transformative technology. 📚 Understanding Large Language Models (LLMs): A deep dive into how these models function and their applications. 📚 Practical Application: Insights on integrating Generative AI within business processes to enhance innovation. 📚 The Art of Prompting: Learning the skills to effectively communicate with AI to achieve desired outcomes. 📚 Project Lifecycle: From conception to deployment, understanding the stages of a Generative AI project. 📚 Model Selection: Strategies to choose the right model for specific tasks. 📚 Enhancing Performance: Techniques like Retrieval-Augmented Generation (RAG), fine-tuning, and leveraging pretrained models to boost efficacy. A special thanks to Andrew Ng for the insightful instruction and guidance throughout this journey. I'm thrilled to continue exploring the intersection of AI technology and practical applications. If you're curious about how Generative AI can transform your business or just want to chat about the latest in AI, feel free to connect! #GenerativeAI #MachineLearning #AI #DeepLearningAI #TechnologyInnovation

🚀 Just finished Build Your Generative AI Productivity Skills with Microsoft and LinkedIn! Check it out: https://lnkd.in/d9VJFvai 📚 Throughout the course, I gained valuable insights into harnessing generative AI to boost productivity. Here are some key takeaways: 1️⃣ Understanding Generative AI: Explored the fundamentals of how generative AI works and its applications across industries. 2️⃣ Ethical Considerations: Explored the ethical implications of AI and best practices for responsible AI development. 3️⃣ Optimization Techniques: Techniques for optimizing AI models to enhance performance and efficiency. Excited to apply these newfound skills to drive innovation and efficiency in my projects! Big thanks to Microsoft and LinkedIn for this enriching learning experience. #AI #Productivity #MicrosoftAI #LearningAndDevelopment #GenerativeAI #LinkedInLearning