Emerging Tech’s Post

🚀 We are back 🚀 PyTorch isn't just another framework; it's the de-facto standard for Deep Learning. Our community is dedicated to bringing together PyTorch users in London and those with a profound interest in ML and AI. This is your platform to share experiences, network, seek advice, and initiate collaborations. We've curated an exceptional line-up of speakers who will share their expertise on PyTorch applications across diverse sectors. 🚀 Our Speakers: 🔥 Vincent Moens, Research Engineer at Meta - Topic: "Integrating RLHF in TorchRL" - Vincent is a core contributor and the driving force behind the PyTorch/RL library, a hub for reinforcement learning in PyTorch. 🔥 Alexey Ustimenko, Staff Applied Scientist at ShareChat - Dive into the "Applications of PyTorch Autograd in Physical Simulations" with Alexey, a leading figure in the world of applied science at ShareChat. 🔥 Nikita Balabin, ML Engineer at Exactly.ai - Topic: "Optimizing Diffusion Models with PyTorch: Tips & Tricks" Important Note: For security reasons, Revolut requires the emails of all attendees a week prior to the event. Please ensure you provide your email during registration or send it to us directly. Your cooperation is greatly appreciated! Don't miss out on this opportunity to gain insights, engage in stimulating discussions, and network with fellow PyTorch enthusiasts. Mark the date and be a part of our journey as we shape the future of ML and AI with PyTorch! https://lnkd.in/eBMH5JcC #PyTorch #AI #ArtificialIntelligence #Deeplearning #MachineLearning #LLM

Hello, amazing tech community! 👋 On Day 99 of my #100DaysOfCode adventure, I've embarked on a captivating journey into the world of #PyTorch, diving headfirst into the realm of neural network classification: 🧠 Neural Network Classification: 🎯 Mastered the art of running training loops epoch by epoch, ensuring the precise fine-tuning of our models. 🏃♂️🔄 🧪 Crafted robust testing loop code, a fundamental aspect of machine learning evaluation. 🧪🔍 💾 Explored the critical aspects of model saving/loading, a crucial step in preserving our hard-earned progress. 💾🔄 🤝 Brought everything together, connecting the dots and laying the groundwork for our classification journey. 🌐🛠️ 💡 Chapter 2 - Machine Learning Classification: 📚 Dived into the realm of machine learning classification, unraveling the intricacies of inputs, outputs, and the architecture of neural networks. 🧩📊 🔢 Transformed our data into tensors, harnessing the power of numerical representation in machine learning. 🔢📈 🤖 Began crafting a neural network tailored for classification tasks, unlocking the potential of AI in decision-making. 🤖🌟 📜 Explored the magic of torch.nn.Sequential, a tool that streamlines our neural network creation process. 🌪️🎨 📉 Delved into loss functions, optimizers, and evaluation metrics specifically designed for classification challenges, equipping us with the tools for success. 📉📚 #CodeJourney #TechSkills

🚀 Day 3 of the 100 Days of Learning Challenge was packed with discovery and growth! Here's a glimpse into what I accomplished: 1️⃣ Dive into Data Structures and Algorithms: Tackled 4 LeetCode easy problems, honing my problem-solving skills and keeping the algorithmic thinking sharp. 2️⃣ Explored NVIDIA's Llama3-ChatQA-1.5, a powerful tool for conversational question answering and retrieval-augmented generation. Leveraging an improved training recipe, this model excels in creating robust RAG systems, pushing the boundaries of AI conversation. 3️⃣ Dived into articles on GraphRAG, delving deep into the implementation of this fascinating concept. The exploration unveiled insights into how GraphRAG functions and its potential applications in various domains. 4️⃣ Engaged with a paper surveying multimodal LLM hallucinations, delving into the taxonomy of hallucination appearances. With a focus on understanding causes and mitigation strategies, this research opens new avenues for tackling challenges in multimodal language models. Check out the paper surveying multimodal LLM hallucinations here: [https://lnkd.in/ge_ATuBv] 📑💡 Every day of this challenge fuels my passion for learning and pushes me to explore new horizons. Excited to see what tomorrow brings! 💡 Happy learning! 🌟📚 #100DaysOfLearning #AI #ContinuousGrowth 

🚀 Thrilled to share our amazing experience at the UTS Rapido and StreetKind.co Hackathon! 🚀 Our team successfully created an application that automates data collection and visualization. Using the power of Large Language Models (LLMs), we built a solution that converts voice audio into immediate form data through smart prompt engineering. We seamlessly turned conversations into text using the Speech_Recognition library 🔊 and automated filling out event descriptions with GPT-3.5-turbo 🤖. Reviewing and editing reports for accuracy 📋 became effortless, and we automated data storage and visualization 📊📈 for quick strategy adjustments. A huge shoutout to the organizers for staying behind and providing invaluable feedback on our future improvements and potential collaborations. Their insights were instrumental in refining our project, and we’re excited about the possibilities ahead. We’re looking forward to seeing how this app will boost StreetKind’s mission to help those in need. #Hackathon #AI #MachineLearning #DataAutomation #LLM #PromptEngineering #Innovation #StreetKind #Marintec #TechForGood #TheBois #VoiceRecognition #DataVisualization #STT #GenerativeAI

🚀📷 Embarking on my Machine Learning journey! Building an Image Classification with TensorFlow as a beginner. 🐍🖼️ Machine Learning is a world of possibilities, and as a beginner, I'm thrilled to share my journey into image classification using TensorFlow. From pixels to predictions, I'm taking the first steps in teaching my computer to recognize objects. This is my beginner's guide to the art of AI. Join me in this exciting exploration, and let's motivate aspiring machine learning enthusiasts to embrace this incredible field of technology! 💡🌟 #MachineLearning #TensorFlow #ImageClassifier #BeginnerML

🚀 Exciting News! 🚀 🌟We're thrilled to invite dynamic and knowledgeable speakers for the upcoming AI HACKATHON 2024 by the Machine Learning Community! Whether you're a local expert or an international thought leader, we want YOU to share your insights and inspire our participants. 📢 We're not just limited to AI! We're eager to hear about a broad spectrum of topics, including but not limited to:  - Artificial Intelligence - Natural Language Processing - Machine Learning - Data Science - Data Analytics - Project Management - Product Management 🎤 Choose the format that suits you best: - Presentation: Share your insights with a 20-minute presentation. - Panel Discussion: Enrich the event experience with your expertise in a lively 40-min discussion in pairs with 2-3 speakers 💫 If you're a tech enthusiast, fill out the form and be part of an event that will shape the future! 👀 What's next after filling out the form? 1. Receive Proposal (January 22nd) 2. Speaker Confirmation / Rejection (confirmed until January 28th) 3. Mock Speech (until February 2nd) Let's make this AI HACKATHON a melting pot of diverse tech insights! 🤖💡 📌 Contact Us https://taplink.cc/mlc_uz

🏅 Exciting News! 🏅 I'm thrilled to share that last month, I had the opportunity to participate in the Kaggle competition, "LLM Science Exam." 🚀 Honored to have clinched the Silver Medal in this challenging event! 🥈 The competition centered around leveraging Large Language Models (LLMs) to tackle complex science questions. 🧠💡 It was a fantastic experience diving deep into the world of Natural Language Processing and pushing the boundaries of what's possible with AI in scientific examinations. 🌐🔍 🙌✨ Looking forward to more exciting challenges and discoveries in the world of Machine Learning&LLM! 💻🚀 #Kaggle #MachineLearning #LLMScienceExam #DataScience #AchievementUnlocked 🚀🏆

I just have done this course recently and I would say this course presents a good introductory stepping-stone for anyone who is interested in applying AI, specifically focusing on Language Models like GPT . It serves as a practical guide to harnessing the capabilities of existing LLMs rather than building one from scratch. If you're inclined towards learning the mechanics behind LLMs, I would suggest to complement other courses such as 'Introduction to Machine Learning'. From my journey, I think the cool thing is it provides practical experience with the Langchain library through projects like chatbot creation, which is more engaging and effective than learning through documentation alone, despite some repitition examples. Also, I feel this course is beneficial for Python users as it introduces various libraries used in AI and beyond.

In my recent presentation for the Design Thinking and Innovation in AI class with Professor Vivek Rao, I highlighted GitHub's Copilot X, a groundbreaking tool that's reshaping how we approach coding and innovation. Through its advanced features, Copilot X offers real-time code completion and suggestions, significantly speeding up the development process and fostering creative problem-solving. This tool exemplifies the power of Generative AI, opening new horizons for developers. I'm eager to see the future advancements in Generative AI and its continued impact on technology. #GitHubCopilotX #GenerativeAI #Innovation #CodingFuture #AITools

Hi Connections, On day 92 of the 100DaysOfCode challenge, I worked on creating an audio classification system using deep learning. I utilized a competition dataset available on Kaggle. Firstly, the dataset was converted into waveforms, followed by conversion into spectrograms. Classification was then performed to categorize the audio into two groups: containing a bird's voice or not. #100DaysOfCode #DeepLearning #AudioClassification #KaggleDataset #Spectrograms #BirdVoiceDetection #MachineLearning #DataScience #CodeChallenge