![LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention | by Tech Insights | Medium LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention | by Tech Insights | Medium](https://miro.medium.com/v2/resize:fit:1400/1*Z8Nk9S0Ib77GG3XtuHFHbA.png)
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention | by Tech Insights | Medium
![AdMobAdapter does not implement the initialize() method · Issue #2776 · googleads/googleads-mobile-unity · GitHub AdMobAdapter does not implement the initialize() method · Issue #2776 · googleads/googleads-mobile-unity · GitHub](https://user-images.githubusercontent.com/125889/248409617-7470e9de-fe64-4683-91c7-69d85ce35437.png)
AdMobAdapter does not implement the initialize() method · Issue #2776 · googleads/googleads-mobile-unity · GitHub
![INpact PIR Slave PCIe - .NET Samples Error Initializing socket failed: Not implemented - PCI Cards - hms.how INpact PIR Slave PCIe - .NET Samples Error Initializing socket failed: Not implemented - PCI Cards - hms.how](https://forum.hms-networks.com/uploads/default/original/3X/c/f/cf48f1200230034facf3d9adfe89730e12a88853.png)
INpact PIR Slave PCIe - .NET Samples Error Initializing socket failed: Not implemented - PCI Cards - hms.how
![AK on X: "LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero- init Attention Using 52K self-instruct demonstrations, LLaMA-Adapter only introduces 1.2M learnable parameters upon the frozen LLaMA 7B model, and costs less than AK on X: "LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero- init Attention Using 52K self-instruct demonstrations, LLaMA-Adapter only introduces 1.2M learnable parameters upon the frozen LLaMA 7B model, and costs less than](https://pbs.twimg.com/media/FsWXdisagAAe6Wh.jpg)
AK on X: "LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero- init Attention Using 52K self-instruct demonstrations, LLaMA-Adapter only introduces 1.2M learnable parameters upon the frozen LLaMA 7B model, and costs less than
Illustration of the initialization phase of the adapter utilizing a... | Download Scientific Diagram
![LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention | by Tech Insights | Medium LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention | by Tech Insights | Medium](https://miro.medium.com/v2/resize:fit:908/1*rYleW2MbcY0qNb0IIga0nQ.png)