19 Tips to Better AI Fine Tuning скачать в хорошем качестве

19 Tips to Better AI Fine Tuning

🔥 Want to make your LLMs smarter? Discover the truth about fine-tuning - it's not what most people think! Learn when to use it, when to avoid it, and how to prepare for success with popular tools like Axolotl, Unsloth, and MLX. 🎯 In this video, you'll learn: • What fine-tuning actually does (hint: it's not about new knowledge) • The key differences between full fine-tuning, LoRA, and QLoRA • How to prepare high-quality training data • Which base model to choose for your project • Common pitfalls to avoid ⏱️ Timestamps: 00:00 - Intro 00:29 - The first tip 00:44 - The second tip...what it does 01:17 - But wait 02:49 - The next one 03:02 - The approaches 04:33 - The first example 05:04 - The parameters 06:40 - Another tip 07:12 - Second great use case 07:39 - This tip is a mistake to avoid 07:55 - Another mistake to avoid 08:12 - RAG is often better 09:09 - Patterns 09:31 - The most crucial piece 10:13 - Another tip 10:31 - Good Data 11:01 - High quality data 11:34 - What your training data must have 12:29 - Foundations 12:55 - Model size 13:47 - Something often overlooked 14:56 - But what do i DO 💡 Want to implement fine-tuning yourself? Subscribe and hit the notification bell to catch our upcoming tutorials on Axolotl, unsloth, and MLX! Drop a comment below: Which fine-tuning tool should we cover first? 👇 #MachineLearning #LLM #ArtificialIntelligence My Links 🔗 👉🏻 Subscribe (free):    / technovangelist   👉🏻 Join and Support:    / @technovangelist   👉🏻 Newsletter: https://technovangelist.substack.com/... 👉🏻 Twitter:   / technovangelist   👉🏻 Discord:   / discord   👉🏻 Patreon:   / technovangelist   👉🏻 Instagram:   / technovangelist   👉🏻 Threads: https://www.threads.net/@technovangel... 👉🏻 LinkedIn:   / technovangelist   👉🏻 All Source Code: https://github.com/technovangelist/vi... Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor