Osamah Al-Ghammari

Just finished the course “What Is Generative AI?” by Pinar Seyhan Demirdag! Check it out: https://lnkd.in/eeGABPMS #generativeai #artificialintelligenceforbusiness #artificialintelligence.

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🚀 Deep Dive into Machine Learning: A Week of Valuable Insights This week in my CAS Big Data & Artificial Intelligence for Managers has been a great opportunity to expand my knowledge and skills. Key highlights: Demystifying ML: Huge thanks to our excellent lecturers Ivo Blohm , Roman Rietsche, Clemens Pirker Philipp Gordetzki for breaking down complex concepts into digestible insights. It's impressive how intricate ideas become clearer with skilled instruction. Practical Applications: Inspired by Simone Finelli insightful talks, we're exploring ways to enhance MLOps at BEMER Group. It's exciting to see the potential real-world applications of what we're learning. Collaborative Success: A big shoutout to my fantastic Team 2 for our Hackathon victory! 🏆 May we never overpay on used cars again 😉 Pascal Barbato Bernadette Kühne Stephan Blattmann Christian Jergen, CFA #MachineLearning #AI #ContinuousLearning #DataScience #MLOps Image credits to u/blabboy on r/ProgrammerHumor

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The Silent Struggle: Highly Skilled Technical Candidates Facing Challenges in Non-Native English Interviews Highly skilled technical candidates from non-English-speaking backgrounds often face significant challenges during job interviews conducted in English. Despite their domain expertise, many struggle to articulate their skills due to language barriers and the pressure of the interview environment, which can result in them being overlooked for roles they are fully qualified for. Employers risk missing out on top talent by placing too much emphasis on verbal communication rather than technical abilities. To address this issue, companies can implement alternative interview formats that focus on technical skills, provide language support, allow candidates more time to respond, and offer written communication options. Additionally, cultural sensitivity training for interviewers can help ensure that candidates are evaluated based on their expertise rather than their ability to communicate fluently in English. For candidates, practicing common interview questions in English and seeking feedback after interviews can help them improve. This approach benefits both organizations and candidates by fostering a more inclusive hiring process that taps into a diverse and highly qualified talent pool. Read the full article!!!

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Natural Language Processing (NLP)! It all began with the basics of 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝘢𝘯𝘥 Python, where I learned how computers analyse human language. I then delved into 𝐝𝐚𝐭𝐚 𝐩𝐫𝐞-𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 techniques and 𝐭𝐨𝐤𝐞𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 to break down text into smaller parts. The next step was to clean up the text. To make text easier to analyse, I experimented with techniques such as 𝐬𝐭𝐞𝐦𝐦𝐢𝐧𝐠, 𝐥𝐞𝐦𝐦𝐚𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧, and 𝐬𝐭𝐨𝐩𝐰𝐨𝐫𝐝 𝐫𝐞𝐦𝐨𝐯𝐚𝐥. I learned about the 𝐁𝐚𝐠-𝐨𝐟-𝐖𝐨𝐫𝐝𝐬 and 𝐓𝐅-𝐈𝐃𝐅 𝐦𝐨𝐝𝐞𝐥𝐬, which help convert text into numbers that machines can interpret. I also found the power of word embeddings, which may capture the meaning of words in a machine-readable format. One of the key point was developing a sentiment analysis model with logistic regression. This approach can determine whether a piece of text is positive or negative. I also tried "𝐓𝐞𝐱𝐭𝐁𝐥𝐨𝐛", a useful tool for sentiment analysis. By the help of 𝐔-𝐍𝐞𝐭 and 𝐬𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧, I learned how to teach machines to understand and label different parts of images. I also explored language detection, a fascinating area where machines figure out which language a text is in and convert it in another. 𝐓𝐞𝐱𝐭 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 was one more exciting topic. I learned about several text categorization strategies and experiment with topic 𝐦𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠, which aids in the identification of themes in big collections of texts. also tried the numerous classifiers, including 𝘕𝘢𝘪𝘷𝘦 𝘉𝘢𝘺𝘦𝘴, 𝘭𝘪𝘯𝘦𝘢𝘳 𝘤𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘦𝘳𝘴, 𝘢𝘯𝘥 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘷𝘦𝘤𝘵𝘰𝘳 𝘤𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘦𝘳𝘴. Finally, I looked into 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 analysis, using everything I learnt to analyse 𝘵𝘸𝘦𝘦𝘵𝘴 and 𝘤𝘰𝘮𝘱𝘳𝘦𝘩𝘦𝘯𝘥 𝘱𝘶𝘣𝘭𝘪𝘤 𝘰𝘱𝘪𝘯𝘪𝘰𝘯. I have an outstanding learning experience of NLP models and apply them to real-world situations. #NLP #MachineLearning #DataScience #TextMining #SentimentAnalysis #Python #AI #LearningJourney #TechSkills #DeepLearning #naturallanguageprocessing #greatlearningjourney #greatlearning #python #segemnatation #sentimentalanalysis #textmining #textclassification‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

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Make the most of your data by inspecting it from all angles and using the novel Object Analytics Technology!

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Over the past few days, I had the wonderful opportunity to participate in the BCI & Neurotechnology Spring School hosted by g.tec medical engineering GmbH. The experience was truly incredible, ten days filled with insightful talks and presentations by leading researchers in the field of Neuroscience. #neuroscience #robotics #dataanalysis

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🌸 Spring is Here! 🌸 As the Mother City blooms and we step into a new week, there's no better time to refresh our goals and ambitions. Spring reminds us that growth is inevitable, whether in nature, our careers, or the ever-evolving field of Machine Learning and AI. 🌱 Just as AI models learn and improve over time; your career can do the same. Whether you’re looking to break into the AI space or take your expertise to the next level, now is the perfect time to explore new opportunities. Let's embrace the challenges, nurture our skills, and watch our careers—and innovations—flourish. Here's to a productive Monday and a season filled with fresh opportunities and career growth! 🌞 #SpringInTheCity #CareerGrowth #MachineLearning #AI #Recruitment #Monday Generative

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Coming up with relevant tags for a paragraph of text could sometimes be challenging. Using few shot prompting to the rescue when you are using ChatGPT. Here is how the prompt looks like: Extract keywords from the corresponding texts below. Text 1: Fish and chips is a classic British dish that consists of fried fish and chips. The fish is typically cod or haddock, and the chips are made from potatoes. Fish and chips is often served with tartar sauce, malt vinegar, and mushy peas. It is a popular takeaway food, and it is also commonly served in pubs and restaurants. Keywords 1: British, Food ## Text 2: English breakfast is a traditional British meal that typically includes bacon, sausage, eggs, toast, and baked beans. It is a hearty and filling meal that is often eaten in the morning. Keywords 2: British, Food ## Text 3: Pad Thai is a popular Thai dish made with stir-fried rice noodles, vegetables, and a sweet and sour sauce. It is often served with peanuts and lime wedges. Keywords 3: Noticed that the last keyword I leave it blank? This is the indicator to let ChatGPT knows that is the response you want, and that's how you will have the magical Thai, food as the keyword since from the previous two examples (the two shots before), ChatGPT will be able to use that to learn about the output that you want. And that's day 7 of 30 days of prompting. That's a week of prompts for you!

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What is AI? Mustafa Suleyman Explains It Beautifully... Mustafa Suleyman offers a beautiful and insightful explanation of Artificial Intelligence, opening up new perspectives on how we understand and define AI. His approach not only demystifies the technology but also challenges us to think deeply about its implications for our future. https://lnkd.in/gwpMDVgy #AI #ArtificialIntelligence #Innovation #Technology #MustafaSuleyman

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🎉 Exciting News! 🎉 I’m thrilled to share that I have successfully completed the "LLM Applications with LangChain" course on DataCamp! 🚀 This course has provided me with invaluable knowledge and hands-on experience in building and deploying large language models (LLMs) with LangChain. I’ve gained a deeper understanding of how to integrate LLMs into real-world applications, from data processing to advanced model deployment. What I learned: 🔹 How to utilize LangChain to work with LLMs in different use cases. 🔹 Techniques for chaining multiple LLM calls together. 🔹 How to build custom pipelines to handle data, model prompts, and outputs effectively. 🔹 Practical applications and best practices for implementing LLMs in production environments. I’m excited to apply these new skills in future projects and continue exploring the incredible potential of AI and NLP. 🚀 Thank you to DataCamp for providing such an engaging and insightful course! 🙏 If anyone is interested in learning more about LangChain or LLMs, feel free to reach out—I’d love to connect and discuss! 🤖 #AI #MachineLearning #NaturalLanguageProcessing #LangChain #DataCamp #LLM #AIApplications #ContinuousLearning #TechSkills #Certification

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#generativeai #artificialintelligenceforbusiness #artificialintelligence.

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What if your OpenAI API calls were 100% reliable? This is the claim from the Structured Outputs announcement yesterday. Here is the excerpt: "On our evals of complex JSON schema following, our new model gpt-4o-2024-08-06 with Structured Outputs scores a perfect 100%. In comparison, gpt-4-0613 scores less than 40%." I have been using libraries like instructor to get structured output, but this might mean that all you need is the API now. What do you think? Link: https://buff.ly/46SD2Cd

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𝐍𝐚𝐦𝐞: Dr Ramazan Abylkassov 𝐓𝐢𝐭𝐥𝐞: Middle Data Engineer My turn to share my pathway and struggles of getting into the Data world from very scratch. NOT a success story, but rather kind of a roadmap to anyone who's interested. - 𝐋𝐢𝐭𝐭𝐥𝐞 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝: following the flow that I started in my highschool, spent 11 years studying biology/medicine - 𝐃𝐞𝐜 2022: got my first taste of working with data in WHO, building the sweet little Excel dashboard for C-19 vaccination, and loooved the process. - 𝐉𝐚𝐧 - 𝐌𝐚𝐫 2023, Alem school (https://alem.school/): basics of programming and algorithms (in Go) - 𝐉𝐮𝐧 2023: Yessenov Data Lab (https://lnkd.in/eH8a3kyE): covered data related topics ranging from the basics of Python to data analysis/visualization to ML models to neural networks - 𝐉𝐚𝐧 - 𝐌𝐚𝐫 2024 Data Engineering Zoomcamp (https://lnkd.in/eEQTQDuJ): deep dive into the world of data engineering under close supervision of the best mentor in the world, Zhas Sh, learning foundational tools such as: Docker, dbt, GCP, Airflow and Mage etc... Some other courses I really liked: - CS50's databases with SQL 101 (https://lnkd.in/eDzKGNTP) - CS50's Python 101 (https://lnkd.in/emWjMd73) - Udemy's Deep Dive into Python (https://lnkd.in/e5XKRUaX) 𝐀𝐩𝐫 2024 - Job hunting season - Started gently, 1-2 applications/day - interviews # = 0 - mid April: a little nervous - 3-5 applications/day - interviews # = 0 - end of April: panic applications to all job offers I can find - interviews # = 0 Got my first interview at GROWTH SHOP via LinkedIn in the beginning of May, just to hear that the role is already taken. Pushed a little to get an unpayed internship, and boom my first offer!) Started the internship at mid May. Got my first paid contract offer 2 working days after the start. And now got promoted to middle Data Engineer! 🎉 Huge shoutout to my product lead Vladimir Kobzev, under whose supervision I am getting my motivation. So lucky to get into your team!! The final takeaway is, doesn't matter how cliché it sounds but the truth is that the saying "fortune favors the bold" cannot be any truer. Nobody is handing you the job on the plate. Hope this is of help to somebody 🙌🏿 #DataEngineering

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Can chatGPT really do everything? I tested chatGPT to solve a sudoku problem and I thought it would solve it in seconds, to my surprise, it repeatedly gave incorrect solutions repeating numbers along the rows, columns or boxes or changed the input itself in order to solve the problem. Despite clarifying all the rules repeatedly, it kept on making the same mistakes again and again. I even asked does it know how to solve a sudoku problem and theoretical answer it gave was correct. Is it safe to assume that not many sudoku problems have been given as input to it and that's why it's not able to solve it? Invite all puzzle lovers to make chatGPT robust in sudoku solving. Attached is the screen recording and pen and paper solution (in comments) which took much less than time spent on giving it repeated prompts. P.S.- 1. This is not to critic chatGPT in any way but is there an opportunity for logical reasoning here? 2. Also, if any sudoku lover has tried it before, asking them to help me if I missed something in input? #puzzlesolving #sudoku #chatgpt #openai #puzzle #logicalreasoning

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I am excited to be diving into this book by Chris Fregly and Antje Barth, as soon as I completed my final assessment in my master of data science. I believe that the cloud is my next step to deploying the models that I have been learning. After I completed their course on DeepLearning.AI six months ago, I believe that I would benefit greatly from any they might produce. #AWS #DataScience #LifeLongLearning

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🚀 Excited to share my thoughts on "Mastering Transformers - 2nd Edition" by Savaş Yıldırım and Meysam Asgari-Chenaghlu This book goes through the evolution of Natural Language Processing (NLP), from traditional methods to the cutting-edge Transformer architecture. It serves as an invaluable resource for professionals and enthusiasts in machine learning, deep learning, and NLP. Key Highlights: 1. From Basics to Advanced: The book starts with the foundational concepts, making it accessible for beginners, and progresses to advanced topics, ensuring that even seasoned professionals find value. 2. Hands-On Approach: The authors provide practical examples and code snippets, allowing readers to experiment and implement concepts in real-time. 3. Comprehensive Coverage: Topics like autoencoding language models, generative models, fine-tuning for various tasks, and the latest advancements in large language models are covered in-depth. 4. Multimodal Learning: The book explores the exciting realm of multimodal learning, discussing how Transformers can be used beyond NLP, such as in computer vision and generative AI. 5. Future-Proofing: With a detailed look at efficient Transformers and parameter-efficient fine-tuning, the book prepares you for the future of scalable and sustainable AI models. Whether you're a researcher, practitioner, or educator in the AI field, this book is a must-read to stay ahead in the rapidly evolving landscape of NLP and Transformers. Kudos to Savaş Yıldırımş and Meysam Asgari-Chenaghlu for this incredible contribution to the AI community! 🙌📚 Check out the book here: https://lnkd.in/dxk67aYW #NLP #AI #MachineLearning #DeepLearning #Transformers #Learning #Technology #Innovation

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Interesting graph related to time, tasks, stress, escape! There are five graphs, each illustrating a different aspect of the feedback loop: 1. As time passes, more tasks and responsibilities accumulate. 2. More tasks lead to increased stress levels. 3. Higher stress makes dealing with tasks more unpleasant. 4. The unpleasantness of tasks leads to a greater likelihood of avoiding them. "Humans often don't act in a purely logical manner when it comes to task management. Instead, they are influenced by emotions and impulses, particularly when experiencing distress." The idea of tackling tasks and responsibilities in a systematic way to avoid feeling overwhelmed and stressed: Joey suggests focusing on completing one important task each day to gain momentum and motivation. This approach, he argues, helps to overcome emotional resistance and leads to a sense of accomplishment, which in turn fuels further productivity. Joey emphasizes the importance of identifying the most critical task each day, regardless of whether it's something one feels like doing, and committing to completing it without distraction. He suggests putting aside other tasks temporarily and focusing solely on the one chosen task to bring clarity and order to one's life.

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