--- title: "#lora articles | Hashnode" description: "Explore 81 articles tagged #lora on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/lora" --- Tag # #lora 81 posts · 3 followers [Taha hussein](https://hashnode.com/@tahahussein) · [Oct 20](https://hashnode.com/posts/fine-tuning-vs-lora-vs-qlora-understanding-efficient-llm-adaptation/6ad7308e25f7cd8d95e2b142) ### [Fine-Tuning vs LoRA vs QLoRA: Understanding Efficient LLM Adaptation](https://tahahussein.hashnode.dev/fine-tuning-vs-lora-vs-qlora-understanding-efficient-llm-adaptation?utm_source=hashnode&utm_medium=feed) Learn how Fine-Tuning, LoRA, QLoRA, and KD-LoRA help customize AI models. Explore key differences, benefits, and LLM adaptation techniques. 5 min read · [tahahussein.hashnode.dev](https://tahahussein.hashnode.dev/fine-tuning-vs-lora-vs-qlora-understanding-efficient-llm-adaptation?utm_source=hashnode&utm_medium=feed) [circuitrocks](https://hashnode.com/@circuitrocks) · [Oct 20](https://hashnode.com/posts/motorola-t900-pager-mod-meshtastic-messaging-on-esp32-s3/6ad7303898d42387138c9881) ### [Motorola T900 Pager Mod: Meshtastic Messaging on ESP32-S3](https://circuitrocks.hashnode.dev/motorola-t900-pager-mod-meshtastic-messaging-on-esp32-s3?utm_source=hashnode&utm_medium=feed) Motorola T900 Pager Mod: A Motorola T900 pager gets a Heltec V4 brain and LoRa mesh messaging while keeping its keyboard and LCD. 2 min read · [circuitrocks.hashnode.dev](https://circuitrocks.hashnode.dev/motorola-t900-pager-mod-meshtastic-messaging-on-esp32-s3?utm_source=hashnode&utm_medium=feed) [circuitrocks](https://hashnode.com/@circuitrocks) · [Sep 27](https://hashnode.com/posts/ironears-esp32-s3-sensor-hears-500-sounds-skips-the-camera/6ab9967ffa562dd841ca04b4) ### [IronEar's ESP32-S3 Sensor Hears 500 Sounds, Skips the Camera](https://circuitrocks.hashnode.dev/ironears-esp32-s3-sensor-hears-500-sounds-skips-the-camera?utm_source=hashnode&utm_medium=feed) IronEar's ESP32-S3 Sensor Hears: An open-source ESP32-S3 sensor node classifies 500+ household sounds on-device and reports to Home Assistant over MQTT or… 3 min read · [circuitrocks.hashnode.dev](https://circuitrocks.hashnode.dev/ironears-esp32-s3-sensor-hears-500-sounds-skips-the-camera?utm_source=hashnode&utm_medium=feed) [circuitrocks](https://hashnode.com/@circuitrocks) · [Sep 24](https://hashnode.com/posts/off-grid-lora-message-board-pairs-esp32-s3-with-e-ink-display/6ab59f2c98590776299672bc) ### [Off-Grid LoRa Message Board Pairs ESP32-S3 with E-Ink Display](https://circuitrocks.hashnode.dev/off-grid-lora-message-board-pairs-esp32-s3-with-e-ink-display?utm_source=hashnode&utm_medium=feed) Off-Grid LoRa Message Board: A battery-powered desk display that receives text messages over a LoRa mesh network with no WiFi needed, plus a built-in CO2… 2 min read · [circuitrocks.hashnode.dev](https://circuitrocks.hashnode.dev/off-grid-lora-message-board-pairs-esp32-s3-with-e-ink-display?utm_source=hashnode&utm_medium=feed) [Taha hussein](https://hashnode.com/@tahahussein) · [Sep 18](https://hashnode.com/posts/fine-tuning-an-llm-what-actually-happens-under-the-hood/6aacfeb891ce0511ce99e211) ### [Fine-Tuning an LLM: What Actually Happens Under the Hood?](https://tahahussein.hashnode.dev/fine-tuning-an-llm-what-actually-happens-under-the-hood?utm_source=hashnode&utm_medium=feed) Learn how LLM fine-tuning works under the hood, including training, parameters, LoRA, PEFT, and the differences between fine-tuning, RAG 7 min read · [tahahussein.hashnode.dev](https://tahahussein.hashnode.dev/fine-tuning-an-llm-what-actually-happens-under-the-hood?utm_source=hashnode&utm_medium=feed) [Rahul Sai Indeevar V](https://hashnode.com/@rahul-ai) · [Sep 16](https://hashnode.com/posts/parameter-efficient-fine-tuning-from-lora-to-qlora/6aaa2c781ddc873f8d269492) ### [Parameter-Efficient Fine-Tuning: From LoRA to QLoRA](https://rahul-ai.hashnode.dev/parameter-efficient-fine-tuning-from-lora-to-qlora?utm_source=hashnode&utm_medium=feed) Fine-tuning Large Language Models (LLMs) used to be an option only for organizations with massive compute budgets. Full fine-tuning requires updating and storing every parameter, gradient, and optimiz 10 min read · [rahul-ai.hashnode.dev](https://rahul-ai.hashnode.dev/parameter-efficient-fine-tuning-from-lora-to-qlora?utm_source=hashnode&utm_medium=feed) [Partha](https://hashnode.com/@rpsarathy) · [Sep 15](https://hashnode.com/posts/lora-qlora-or-distillation-a-no-nonsense-guide-to-choosing/6aa99de3403009af3fad4e34) ### [LoRA, QLoRA, or Distillation? A No-Nonsense Guide to Choosing](https://rpsarathy.hashnode.dev/lora-qlora-or-distillation-a-no-nonsense-guide-to-choosing?utm_source=hashnode&utm_medium=feed) If you've ever tried to fine-tune a large language model on normal hardware, you know the wall you hit fast. A 7-billion-parameter model trained the old-fashioned way can eat 100+ GB of GPU memory. Mo 12 min read · [rpsarathy.hashnode.dev](https://rpsarathy.hashnode.dev/lora-qlora-or-distillation-a-no-nonsense-guide-to-choosing?utm_source=hashnode&utm_medium=feed) [Internals Decoded](https://hashnode.com/@internalsdecoded) · [Sep 2](https://hashnode.com/posts/fine-tuning-explained/6a9859ae6b07d1ac5dc492f3) ### [Fine-Tuning, Explained: Teaching an Old Model New Tricks](https://internals-decoded.hashnode.dev/fine-tuning-explained?utm_source=hashnode&utm_medium=feed) When it helps, when RAG beats it, and why most teams never need it. 15 min read · [internals-decoded.hashnode.dev](https://internals-decoded.hashnode.dev/fine-tuning-explained?utm_source=hashnode&utm_medium=feed) [Rahul Sai Indeevar V](https://hashnode.com/@rahul-ai) · [Aug 28](https://hashnode.com/posts/understanding-lora-parameter-efficient-fine-tuning-for-modern-llms/6a912f5aed98e5cc0cf60b6f) ### [Understanding LoRA: Parameter-Efficient Fine-Tuning for Modern LLMs](https://rahul-ai.hashnode.dev/understanding-lora-parameter-efficient-fine-tuning-for-modern-llms?utm_source=hashnode&utm_medium=feed) Large Language Models (LLMs) and foundation models like LLaMA, GPT, and ViTs have billions of parameters. As these models scale, traditional full fine-tuning—updating every weight in the network—becom 9 min read · [rahul-ai.hashnode.dev](https://rahul-ai.hashnode.dev/understanding-lora-parameter-efficient-fine-tuning-for-modern-llms?utm_source=hashnode&utm_medium=feed) [Rahul Sai Indeevar V](https://hashnode.com/@rahul-ai) · [Aug 26](https://hashnode.com/posts/a-field-guide-to-modern-ai-terminology/6a8e8b43de0cca99a170263b) ### [A Field Guide to Modern AI Terminology](https://rahul-ai.hashnode.dev/a-field-guide-to-modern-ai-terminology?utm_source=hashnode&utm_medium=feed) A clear, developer-focused guide breaking down modern AI terminology—from LLMs and Agentic AI to RAG and LoRA. 8 min read · [rahul-ai.hashnode.dev](https://rahul-ai.hashnode.dev/a-field-guide-to-modern-ai-terminology?utm_source=hashnode&utm_medium=feed)