APC Mastery Path

🚀 Overcoming Challenges with Open WebUI & Ollama: Bringing Local AI to Life!   I recently faced a challenge that inspired my latest YouTube tutorial.I ran into a problem where I could not upload my GGUF finetuned models to Open WebUI. I needed a way to export custom models to Ollama for direct use with Open WebUI. Instead of letting that stop me, I developed a step-by-step video to help others set up a seamless environment for local AI interactions!   Curious about running powerful Large Language Models (LLMs) on your machine, with no reliance on the cloud? This tutorial shows how to make the best use of Open WebUI, combined with Ollama, to chat with AI models offline and even customize their personalities.   📽️ You can watch the video from the following link: Local AI Chat with Open WebUI & Ollama + Export Finetuned models to Ollama https://lnkd.in/eTHYA8jS    What’s Covered in the Video: ⚫Python Installation to lay the groundwork for an effective AI environment. ⚫Setting Up Ollama: I demonstrate how to install Ollama and chat with LLMs directly in the terminal. ⚫Installing and Using Open WebUI: Learn how to download Open WebUI from GitHub and use it as a friendly interface for interacting with AI models. ⚫Exporting Customized Models to Ollama: I walk through the process of creating and exporting fine-tuned models to Ollama, adding unique personalities and capabilities to suit specific tasks. ⚫GitHub Repositories & Resources: A look at the essential resources to deepen your understanding and explore further.   🌐 Why Watch? By the end, you'll know how to: ⚫ Seamlessly integrate and chat with LLMs on Open WebUI for your workflow. ⚫Customize AI models for specific tasks, right on your desktop. ⚫ Maximize your local AI setup with practical insights into model fine-tuning.   🔗 Resources: ⚫Visit My Website: APC Mastery Path - https://lnkd.in/e7Kf2_Y5 – AI resources tailored for the construction industry ⚫GitHub Repos: Access the code and tools featured in this video for a hands-on experience. You can access all my repositories by visiting the following link: https://lnkd.in/eQG69w7Y   📲 Let’s connect! Follow along for more insights into AI development, the APC journey, and LLM customization. Together, we’ll unlock the full potential of AI on our local systems!   #OpenWebUI #Ollama #LocalAI #LargeLanguageModels #PythonAI #LLMChat #AILocalSetup #APCMasteryPath #AIChatBot #ModelFile #APCTips #TechTutorial

🎉 From PDFs to Podcasts: The Final Step in Our Open-Source LLM Series! 🎉   After a transformative journey across 4 pillars, we’re finally bringing text to life! In Part 4: Converting Text to Speech, I’ll show you how to use open-source models Bark and Parler to transform refined transcripts into immersive audio—completing the conversion from PDF to podcast! 📄➡️🎙️   In this final video, we’ll: - Test both TTS models with trial outputs - Process our cleaned transcript file from Pillar 3 - Combine audio arrays into a polished podcast-ready file   📺You can watch the video from the following link - Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 4 - https://lnkd.in/ehTyiUVh   💻 Get the Full Code & Resources: Access everything on my GitHub repository (https://lnkd.in/e5Mx9pSW) and explore the Meta Llama Recipes for even more customization. This series is all about making advanced AI tools accessible for content creation enthusiasts and AI learners alike!   📽️You can watch all the previous video related to this series from the links below: ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 4 : https://lnkd.in/ehZ9B-Fs ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 3: https://lnkd.in/eEVZKwdq ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 2: https://lnkd.in/etiMZENM ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 1: https://lnkd.in/edyCp7Sb     🌐 For more tutorials and insights, check out APC Mastery Path (https://lnkd.in/e6FMCxkf).   Catch up on the series and join me for the finale! Don’t forget to like, subscribe, and share if you’re ready to dive into AI-driven podcasting!   #PDFtoPodcast #OpenSourceLLM #AIforAudio #APCMasteryPath #TextToSpeech #PodcastAutomation #BarkModel #ParlerTTS #Llama3.1

🎙️ Convert PDFs to Podcasts with Open-Source LLMs! Part 3: Refining the Transcript 🎙️   The journey continues! 🚀 In this third instalment of our series, we're tackling Pillar 3: Refining the Transcript—a pivotal step that transforms a basic transcript into a polished, conversation-style script with emotions and character.   In this video, I show you how to use Llama 3.1 8b Instruct to refine our initial transcript draft into a structured dialogue between two speakers, complete with assigned emotions and sentence flow. By the end, you’ll have a refined transcript saved as a PICKLE file, bringing us closer to the final stage: converting this into audio! 🎧   📽️You can watch the video from the following link: https://lnkd.in/ehZ9B-Fs   💻 Full Project Code Available: Want to try this yourself? Access all the code and produced outputs on my [GitHub repository](https://lnkd.in/e5Mx9pSW). I’ve also included a link to the Meta Llama Recipes GitHub for those looking to explore even further. This is a hands-on, open-source adventure into AI-driven podcast creation!   🌐 Catch Up on Previous Videos: Missed the earlier steps? No worries! We’re building this project one pillar at a time: 1. 📄PDF Loading & Preprocessing 2. ✍️ Writing the Transcript 3. 🤖 Refining the Transcript (today’s focus) 4. 🎙️ Converting Text to Speech   📽️You can also watch the videos covering the previous steps from the links below: ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 3: https://lnkd.in/eEVZKwdq ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 2: https://lnkd.in/etiMZENM ⚫Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 1: https://lnkd.in/edyCp7Sb   🔗 Visit my website: [APC Mastery Path](https://lnkd.in/e6FMCxkf) for additional resources, tutorials, and insights on AI in content creation, construction, and analytics.   Join me in this exciting journey as we bring text to life, one step at a time. Don’t forget to **like, subscribe**, and share if you’re finding this series helpful. Let’s unlock the power of AI for audio content together!   #PDFtoPodcast #OpenSourceLLM #AIforAudio #APCMasteryPath #TranscriptRefinement #PodcastAutomation #Llama3.1

🎙️ From PDFs to Podcasts with Open-Source LLMs – Pillar 2 of Our Series! 🎙️   Welcome back to our groundbreaking journey! 🚀 In our third video of this series, we’re delving into Pillar 2: Writing the Transcript—a crucial step that turns raw, cleansed text into a conversation-ready script. Using Llama 3.1 8b Instruct, I’ll show you how to set up an effective system prompt to craft a first iteration transcript that feels alive, with two speakers, dedicated sentences, and emotional depth.   In this episode, I guide you step-by-step on building a dynamic, conversation-style transcript. This is where your PDF truly begins its transformation into audio content! 🎧 Ready to see how AI can create a conversation from text?   📽️You can watch the video from the following link: https://lnkd.in/eEVZKwdq     🛠️ Full Code & Resources: All project code and outputs are available on my [GitHub repository](https://lnkd.in/e5Mx9pSW). You’ll also find the Meta Llama Recipes GitHub repository linked for those interested in deeper customization. Let’s make AI accessible, one step at a time!   🌐 Missed Videos 1 & 2 for the first Pillar? Don’t worry! Catch up and join us for each part as we move through the 4 Pillars of creating AI-driven podcasts: 1. 📄 PDF Loading & Preprocessing 2. ✍️ Writing the Transcript (today’s focus) 3. 🤖 Refining the Transcript 4. 🎙️ Converting Text to Speech   You can watch the videos for Pillar one from the links below: 🟣Pillar 1 - PDF loading and Preprocessing - Part 1 : https://lnkd.in/ehiggj3w 🟣Pillar 1 - PDF loading and Preprocessing - Part 2 : https://lnkd.in/ePfgdbRD     🔗 Visit my website: [APC Mastery Path](https://lnkd.in/e6FMCxkf) for more insights, resources, and tutorials as we unlock the power of AI in content creation, construction, and analytics.   Whether you're here to learn, build, or explore AI’s potential, join us in this series! Let’s make tech work for us—turning text into talk, one step at a time. Don’t forget to like, subscribe, and share if you’re as excited about this journey as we are!   #PDFtoPodcast #AITransformation #OpenSourceLLM #AIforAudio #APCMasteryPath #PodcastAutomation #AIContentCreation #Llama3.1

🎙️ Turn PDFs into Podcasts with Open-Source LLMs! Part 2 of Pillar 1 🎙️   Exciting times ahead as we dive further into the art of transforming PDFs into audio podcasts! In this episode, I’m covering the second and final part of Pillar 1: PDF Loading and Preprocessing**. Using **Llama 3.1, I’ll demonstrate how to cleanse raw text by removing extra spaces, page numbers, and irrelevant data, preparing it for a seamless transition to Pillar 2: Writing the Transcript.   📽️You can watch the video for the second part of Pillar through this link: Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 2 : https://lnkd.in/eYnyXXGB    🔗 Get Hands-On: Full project code and resources are available on my Github page https://lnkd.in/e5Mx9pSW , along with the Meta Llama Recipes GitHub repository for additional support. These resources are tailored for those ready to explore AI-powered podcast creation!   🌐 Explore More: Visit my youtube channel APC Mastery - https://lnkd.in/e5T-BKdg for in-depth tutorials and insights on AI applications in construction and data analytics.   Let’s take text transformation to the next level with AI! Don’t forget to like, share, and subscribe if you’re following along on this journey to audio automation. 📈   #PDFtoPodcast #OpenSourceLLM #AIforAudio #APCMasteryPath #TextProcessing #PodcastAutomation #Llama3.1

🎙️ Transform PDFs into Podcasts with Open-Source LLMs! 🎙️   I’m excited to share the first episode in our new series, where I walk through using open-source LLMs to turn static PDFs into immersive audio podcasts. 📚➡️🎧   In this first video, we’re diving deep into Pillar 1: PDF Loading and Preprocessing—the essential foundation for setting up the entire system. Today, I'll show you how to extract raw text from PDFs and prepare it for the next stages. This project is built on four pillars:   1. 📄 PDF Loading and Preprocessing (covered today) 2. 🤖 Generating a Transcript with Open-Source LLMs 3. ✍️ Refining the Transcript with Advanced LLMs 4. 🎧 Converting Text to Speech with TTS Models   📽️You can watch the video for Pillar 1 - PDF Loading and Preprocessing - Part 1 through this link: Convert PDFs to Podcasts - Open Source alternative with Llama 3.1 , Parler TTS & Bark - Part 1 : https://lnkd.in/ehe7qkFF   🔗 Resources Available: The complete code and project outcomes are shared on my GitHub repository (https://lnkd.in/e5Mx9pSW), along with additional support. Plus, I've included a link to the Meta Llama Recipes GitHub repository for those who want to customize further!   🚀 Don’t miss out! This series is perfect for anyone interested in leveraging AI to create dynamic audio content from text. Next up, we’ll be tackling the remaining part of Pillar 1, so stay tuned!   💼 Curious to learn more? Visit my website (https://lnkd.in/e6FMCxkf) for in-depth resources on AI, construction analytics, and more.   👉 Dive in and get hands-on with this unique approach to podcast creation with LLMs! Don’t forget to connect, like, and share your thoughts. Together, let’s explore how AI can reshape content creation. 🌐   #PDFtoPodcast #OpenSourceLLM #AIforAudio #APCMasteryPath #AIinConstruction #PodcastAutomation #ContentCreation #AIInnovation #MachineLearning

Exploring the intersection of machine learning, AI, and the construction industry has become a primary focus of mine, and I’m excited to share my latest GitHub repository, *ConstructionAI*. This repository is a growing collection of projects aimed at harnessing the power of AI to tackle challenges in the construction field. Some current projects include: 🟣Convert_Books_to_Podcasts: Transforming industry literature into accessible audio formats 🟣Crawl4AI_WebScrapper: Automating data extraction from industry websites 🟣Parse_PDFs_faster: Optimizing PDF parsing for construction documents 🟣Sentimental_Analysis: Analyzing feedback and sentiment in industry communications 🟣Unsloth_LLM_Finetuning: Customizing language models for industry-specific applications Each project includes a README file, with the overall repository README providing guidance, to make navigating the content straightforward. Additionally, the Python files and Jupyter notebooks offer detailed explanations of the code, making the repository accessible for beginners, enthusiasts, and experts alike. If you're passionate about construction tech, AI, or have an idea that could push this field forward, I’d love to hear from you. I invite my LinkedIn connections to explore the repository, contribute, or share ideas that could make a meaningful impact in the industry. Feel free to connect and reach out here, or visit *ConstructionAI* on GitHub: https://lnkd.in/eX59hQHe. Together, let’s drive innovation in construction technology. #Github #ConstructionAI #Construction #Tech #AI #ML #GenAI

🚀 Crawl4AI WebScapper🚀   We are excited to share our latest video on APC Mastery Path youtube channel where we presented the building of a powerful web scraper using the Crawl4AI project, available on GitHub. Whether you're a developer, data enthusiast, or just curious about web scraping, this video covers everything from the fundamentals to deploying a fully functional scraper with a clean user interface designed using Streamlit.   In the video, you'll learn: 🔹 The basics of web scraping 🌐 🔹 How to build a web scraper using Crawl4AI and Beautiful Soup 💻 🔹 Creating an easy-to-use interface for scraping and converting HTML to markdown 📄 🔹 Deploying your web scraper for real-world use cases 🚀   If you're looking to enhance your coding skills and discover new ways to automate tasks, check out the full video on YouTube: 👉 https://lnkd.in/dEuXJ_-w   🌟 About APC Mastery Path: 🌟   We provide teaching and mentoring packages to support RICS APC candidates in achieving their career goals. If you're an APC candidate or know someone who is, visit our website ww.apcmasterypath.co.uk for mentoring resources, tips, and tools to ace the RICS APC.   💡 Don't miss out! Subscribe to APC Mastery Path on YouTube for more insightful content on web development, coding, automation, and expert guidance for APC candidates! 🎯   #WebScraping #Crawl4AI #Streamlit #PythonProgramming #BeautifulSoup #CodingTutorial #Automation #TechTips #RICSAPC #APCMasteryPath #Mentoring #CareerDevelopment #YouTubeLearning #DataScraping

🚀 Unlock the Power of Multimodal LLMs in Construction! 🚀 I'm excited to share my latest YouTube video, where I dive deep into multimodal Large Language Models (LLMs) and showcase an easy-to-deploy system using MiniCPM (8B parameters) and LLaVA (13B parameters). 🌟 In this video, I break down the process of building a system that’s not only powerful but also low-code to no-code, perfect for those who want to harness AI without extensive programming skills. I cover:   ⚫How multimodal LLMs work and their practical use cases. ⚫The 3 key pillars of the system: Ollama, Docker Desktop, and Open WebUI. ⚫Step-by-step guides to install each component and set up the system on Linux. ⚫A live demo showcasing the models' performance in interpreting text within images – with specific use cases tailored to the construction industry!   🔗 Watch the full video here: https://lnkd.in/e8KAGSSb   📈 Whether you’re an AI enthusiast, a construction professional, or just curious about deploying AI tools, this video is your go-to guide!   For more insights on how AI is transforming the construction industry, visit www.apcmasterypath.co.uk. I share a wealth of resources, tips, and strategies on integrating AI in construction, helping you stay ahead in the industry. Additionally, if you're preparing for your RICS APC and looking for guidance, APC Mastery Path offers teaching and mentoring packages to enhance your chances of success. 🎯   #AIinConstruction #MultimodalLLMs #APCMasteryPath #RICSAPC #ConstructionInnovation #NoCodeAI #APCSupport

🚀 New Video Alert: Fine-Tuning Llama 3.1 with Unsloth for RICS APC & BoQ Codification 🚀 We are excited to share our latest video on our youtube channel APC Mastery Path! In this in-depth tutorial, we explore how to fine-tune the powerful Llama 3.1 large language model (LLM) using the cutting-edge conversational templates provided by the Unsloth team. From CSV dataset conversion to ShareGPT format, transitioning to Huggingface, and ultimately fine-tuning with Llama 3.1, this video walks you through the entire process. We also test the fine-tuned model using Open WebUI as a chatbot, focusing on two key use cases: 📘 RICS APC candidates preparing for their assessment 🔢 Bills of Quantities (BoQ) codification aligned with NRM1 standards 📝 Key topics covered include: 🟣Dataset conversion from ShareGPT to Huggingface 🟣Training and fine-tuning parameters for Llama 3.1 🟣Deploying the fine-tuned model to Open WebUI 🟣Specialized applications for APC exam preparation and BoQ codification Whether you're a professional in construction and quantity surveying, or an AI enthusiast interested in specialized fine-tuning techniques for LLMs, this video has something for you! 🛠️ Watch now on APC Mastery Path to get started and take your skills to the next level: https://lnkd.in/exB5KFp3 This video is brought to you by APC Mastery Path, where we offer tailored teaching and mentoring packages for RICS APC students. If you're preparing for your APC, visit www.apcmasterypath.co.uk for more details on how we can help you succeed. 🔔 Don’t forget to like, comment, and share with those who may benefit from this valuable content! #LLMFineTuning #APCMasteryPath #Unsloth #BoQCodification #RICSAPC #NRM1 #AIInConstruction #Huggingface #OpenWebUI #LLMs #AI #QuantitySurveying