Mindfire Tech’s Post

🔖Check out this fantastic tutorial on how to use APIs for AI and data science projects! It's an essential guide for accessing data from platforms like Reddit, X (formerly Twitter), and more. Perfect for training models and deep data analysis!.👈🤓 - #APIs - #DataScience - #AI - #MachineLearning - #TechTutorial - #BigData - #Technology - #Programming - #Innovation - #DigitalTransformation

👀 5 GitHub repositories you should definitely check as an AI/Machine Learning Engineer: 1. Made with ML Best Repository to Learn MLOps: https://bit.ly/3wgVcQd Also help you learn the foundations of machine learning through intuitive explanations, clean code and visualizations. 2. Awesome Machine Learning https://bit.ly/44vFVYn A repository with a curated list of awesome machine learning frameworks, libraries and software. 3. Prompt Engineering guide: https://bit.ly/3WxJhYN 4. Deep Learning Drizzle This is an organized website where you can find all the FREE and best courses in: https://bit.ly/4a7C1pz → Machine Learning → NLP → Computer Vision → Reinforcement Learning from Top Universities (all in one place) 5. The Practical Guides for Large Language Models https://bit.ly/3wr6AsA This repository is a curated list of practical guide and resources of LLMs. #datascience #bigdata #machinelearning #analytics #datamining #artificialintelligence #datasciencecareer #OnlineLearning

10 years ago, I thought I could never make a real impact in the tech world. I saw AI and machine learning as fields beyond my reach, filled with complex algorithms I couldn’t understand. 5 years ago, I decided to make a change and started exploring ways to simplify these concepts, not just for me but for others who felt the same way. 3 years ago, I discovered that by linking AI projects to personal interests and cultural backgrounds, not only did I understand them better, but they also became more meaningful. And now every day, I help others see AI and machine learning not as barriers but as gateways to innovation. And I know wherever you are in YOUR journey… YOU CAN TOO. HERE’S HOW I DID THIS ⬇️ At 25, I felt overwhelmed by the rapid advancements in AI and felt left behind. I thought I wasn’t cut out for this, always struggling to keep up, and I labeled myself as not smart enough. But then, at 30, I hit a turning point. I realized I didn’t lack intelligence. I lacked the right approach to learning. Who wants to push through something that feels impossible? So, I started breaking down complex algorithms visually, making them accessible and engaging. {That’s when the magic began 😉} I embraced the idea that AI should be accessible to everyone, using visuals to demystify complex concepts. And when I embraced that? Here’s what truly transformed: I saw that when people understand AI through visuals, they not only grasp but also apply these concepts more innovatively. I began to tailor AI projects to reflect personal stories and cultural insights, making each project not only a technical success but also a personal triumph. The biggest win? Helping others break into AI with confidence and creativity. And now, every day, I wake up motivated to make mahine learning accessible and enjoyable for everyone, free from the fear and barriers I once faced. If you’re feeling overwhelmed by machine learning, thinking it’s just not for you, and you’re ready to see it in a new light, check out my visual guides and stay tuned for an announcement that could transform your approach to AI and machine learning. Comment below with one word that describes how you feel about AI/machine learning right now. Let's start the conversation and help each other break down barriers. P.S. Check out my mini-course “Python for Data Science Quick Start” to learn the fundamentals of Python and how to use popular Data Science libraries: → https://bit.ly/3yrBAcL #data #datascience #machinelearning #deeplearning #MachineLearning #AI #DataScience #Tech #ArtificialIntelligence #Coding #Programming #Data #DeepLearning #Algorithm #Education #Innovation #MasteringML

Hi All, Our paper titled, "Learning Representations on Logs for AIOps" was recently accepted at IEEE Cloud 2023. This paper presents a new foundation model for AIOps that has been trained on logs from various sources and has shown superior performance on multiple downstream tasks, making it a valuable addition to the AIOps Platform! Congratulations to the team! Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra Blog Post: https://lnkd.in/gccGxmwS Preprint version on arXiv: https://lnkd.in/gdhV-SY8 GitHub: https://lnkd.in/gdHbUQWy Abstract: AI for IT Operations (AIOps) is a powerful platform that Site Reliability Engineers (SREs) use to automate and streamline operational workflows with minimal human intervention. Automated log analysis is a critical task in AIOps as it provides key insights for SREs to identify and address ongoing faults. Tasks such as log format detection, log classification, and log parsing are key components of automated log analysis. Most of these tasks require supervised learning; however, there are multiple challenges due to limited labelled log data and the diverse nature of log data. Large Language Models (LLMs) such as BERT and GPT3 are trained using self-supervision on a vast amount of unlabeled data. These models provide generalized representations that can be effectively used for various downstream tasks with limited labelled data. Motivated by the success of LLMs in specific domains like science and biology, this paper introduces an LLM for log data which is trained on public and proprietary log data. The results of our experiments demonstrate that the proposed LLM outperforms existing models on multiple downstream tasks. In summary, AIOps powered by LLMs offer an efficient and effective solution for automating log analysis tasks and enabling SREs to focus on higher-level tasks. Our proposed LLM, trained on public and proprietary log data, offers superior performance on multiple downstream tasks, making it a valuable addition to the AIOps platform. #ibmresearch #hybridcloud #aiops #ieeeconference

Hey everyone! 👋 I just published a new article on Medium. It's not just a deep dive into a data science tool but also a journey into the world of compiler technology and optimization. I had a blast exploring and writing about JAX, and I believe you'll find it as enlightening as I did. Check it out, and feel free to share your thoughts, feedback, or point out anything that could be improved. Always open to learning and growing! https://lnkd.in/e7NvS-Qa Happy reading! 📖✨ #JAX #AI #DataScience

As large language models (LLMs) become more prevalent, ensuring their outputs align with human values and preferences is crucial. My new report with Weights & Biases explores the Proximal Policy Optimization (PPO), contrasting it against previous RL policy optimization methods. Read the report here: https://lnkd.in/dSVNyWrT Key Highlights: ✨ PPO enables stable learning of complex policies, making it ideal for LLM alignment. ✨ Detailed walkthrough of PPO and its application in Reinforcement Learning from Human Feedback (RLHF). ✨ Step-by-step implementation using Google DeepMind's Gemma-2B model and OpenAssistant Conversations dataset to improve conversational abilities. ✨ Insights into reward modeling, a critical component of RLHF, with code snippets and training visualizations. ✨ Difficulties of alignment and more recent methods proposed for better alignment. This report offers a comprehensive look at leveraging reinforcement learning to align LLMs with human preferences – a pivotal step toward building trustworthy and beneficial AI systems. Check it out and share your thoughts! #NLP #LargeLanguageModels #ReinforcementLearning #LLMAlignment #AI #OpenToWork

Bredec Group Bredec Group Show HN: Script to Auto-Generate Commit Messages with AI: The goal is to integrate the capabilities of OpenAI's GPT-3 model into the Git commit process. The tool inspects the staged changes and auto-generates descriptive commit messages which can be used as template for the commit command. --- Comments URL: https://lnkd.in/dG69-Weg Points: 1 # Comments: 0 info@bredec.com Inquiry@bredec.com

🚀 Excited to share that my latest project, **LoraHelp**, is now available on GitHub! Check it out here: https://lnkd.in/d_Er5V4R As someone deeply passionate about the potential of AI models in business contexts, I believe that companies can gain immense benefits from deploying chatbots. These chatbots, whether used internally or facing the public, can leverage decades of certified, accumulated knowledge bases. The first step in this journey is to acquire and normalize this data for training AI systems. **LoraHelp** is designed as this crucial first step. It automates the management and processing of various file types, making it easier to structure data for AI training purposes. The project is part of my ongoing commitment to exploring how AI can transform business processes and interactions. 🔍 **What is a LoRA?** LoRA stands for Local Resource Access. In this context, it refers to a tool that helps in accessing and organizing local data efficiently, setting the stage for further AI applications. Feel free to fork, star, and contribute to the repository. Let's push the boundaries of what AI can achieve in our workplaces! #AI #MachineLearning #DataNormalization #Chatbots #OpenSource #GitHub

📢 Improving LLMs Management in Snowflake by Fabian Hernandez from Infostrux Discover the power of Snowpark ML Model Registry libraries in managing HuggingFace Large Language Models (LLMs) within Snowflake. Fabian offers a deep dive into: - The essence and capabilities of Snowpark ML Model Registry. - Practical examples of managing and enhancing LLM solutions efficiently. - Insights into the iterative nature of the Generative AI project lifecycle. - A hands-on guide to creating, registering, and retrieving models. This article is a testament to the evolving LLM community in Snowflake and the strides being made in streamlining the ML development lifecycle. 🔗 Dive into the full article https://buff.ly/3PHejK6 #snowflake #infostrux #llm #ml

🚀 Excited to dive into #PythonProgramming and #DataScience with this comprehensive syllabus! Ready to enhance my skills and knowledge. 💡 #LearningPython #DataAnalysis #TechSkills #ai https://lnkd.in/dztsUKjZ Medium