🚀 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
🚀 New Video Alert: Fine-Tuning Llama 3.1 with Unsloth for RICS APC & BoQ Codification 🚀 I'm excited to share my latest video on 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/esAdPtEf 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