Prompt Engineering News
Visual Prompting Technique
Visual prompting transforms sensor data into visuals like waveforms or spectrograms, improving pattern recognition for Multimodal LLMs. 📈 MLLMs receive these visual prompts and task-specific instructions, boosting performance in tasks like human activity recognition and stress detection. Learn more
Attention Prompting Technique
Attention Prompting on Image overlays a text-query-guided attention heatmap on the image, guiding the model to focus on important areas. 🎯 This significantly improves accuracy on vision-language tasks without complex training or fine-tuning. Learn more
New Prompting Techniques
Technique | Description |
---|---|
Visual Prompting |
Transforms sensor data into visuals for improved multimodal LLM performance. |
Attention Prompting |
Overlays attention heatmaps to guide vision-language models on important areas. |
Context Optimization |
Automates prompt creation, enhancing flexibility for vision-language models. |
Context Optimization Technique
Context Optimization (CoOp) automates prompt creation by using learnable vectors instead of static words, allowing VLMs to adapt quickly to new tasks with minimal labeled data. 🤖 This addresses inefficiencies in hand-crafted prompts and fine-tuning, enhancing prompt flexibility. Learn more