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Pan Lu Profile picture
@lupantech
Jun 12 • 7 tweets • 4 min read Twitter logo Read on Twitter
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🎉Exciting news: LLaMA-Adapter is now fully unlocked! 🧵6

1⃣ As a general-purpose #multimodal foundation model, it integrates various inputs like images, audio, text, video, and 3D point clouds, while providing image, text-based, and detection outputs. It uniquely accepts the… twitter.com/i/web/status/1… Image
🧵1/6 Experience the magic of LLaMA-Adapter! Transforming real-world inputs like text, images, videos, audio, and 3D point clouds into engaging text. The reality you know, reimagined through AI.
🖼️📽️🔉🌐➕📝 ➡️➡️🦙➡️➡️ 📝 ImageImageImageImage
🧵2/6 LLaMA-Adapter goes beyond creating text! It's also capable of generating detection results, bringing a new dimension to understanding and interacting with the world.
🖼➕📝 ➡️➡️🦙➡️➡️ 📝➕🔍 Image
🧵3/6 Meet the wizardry of LLaMA-Adapter! From 3D point clouds or audio, it can conjure up a vivid and stunning visual world 🎨🌍. It's more than data processing - it's creating art from raw inputs.
🌐🔉➕📝 ➡️➡️🦙➡️➡️ 🖼️ ImageImage
🧵4/6 Emulating human interaction, LLaMA-Adapter listens to sounds 🎧, watches videos 📽️, and generates text 📝, thus fostering a deeper connection with the world 🌍. A leap forward in AI communication!
📝➕🔉➕📽️ ➡️➡️🦙➡️➡️ 📝 Image
🧵5/6 Even more astonishingly, given just a 3D point cloud and background audio, the LLaMA-Adapter can reconstruct a mirror image of the real world. A breakthrough in immersive experiences!
🌐➕🔉➕📝 ➡️➡️🦙➡️➡️ 🖼️ Image
🧵6/6 Empowered by @LangChainAI, LLaMA-Adapter not only communicates with humans but also unlocks limitless potential in AI interactions.

For a sneak peek into its capabilities, explore our Jupyter Notebook demo:
github.com/OpenGVLab/LLaM…
🖼️📽️🔉🌐📝 ➡️➡️🦜🦙➡️➡️ 🖼️📽️🔉🌐📝 Image

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More from @lupantech

Pan Lu Profile picture
Mar 29
🔥Excited to release LLaMA-Adapter! With only 1.2M learnable parameters and 52K instruction data, LLaMA-Adapter turns a #LLaMA into an instruction-following model within ONE hour, delivering high-quality responses!

🚀Paper: arxiv.org/abs/2303.16199
🚀Code: github.com/ZrrSkywalker/L…
We adopt learnable adaption prompts and prepend them to the input text tokens at higher transformer layers. A zero-init attention mechanism with zero gating adaptively injects the new instructional cues into LLaMA, while effectively preserving its pre-trained knowledge.
With efficient training, LLaMA-Adapter generates high-quality responses, comparable to Alpaca with fully fine-tuned 7B parameters.
Read 5 tweets
Pan Lu Profile picture
Nov 2, 2022
🚨Struggling to select examples for GPT-3? Try our PromptPG, the first work that applies RL to select in-context examples for GPT-3! PromptPG achieves a gain of 5.31% on TabMWP, a new dataset of tabular math word problems! Check out data and codes:👇
promptpg.github.io 🧵1/7
Resources are all available now!
📄Paper: arxiv.org/abs/2209.14610
🔖Project page: promptpg.github.io
💻Code: github.com/lupantech/Prom…
🧐Explore: promptpg.github.io/explore.html
🪜Leaderboard: promptpg.github.io/leaderboard.ht…
🔗Data: github.com/lupantech/Prom… 🧵2/7
🚨We propose a new dataset for math word problems, TabMWP, containing 38,431 problems with tabular contexts.

Each problem is annotated with a natural language solution to reveal the multi-step reasoning process.
Curious about TabMWP?

Explore here:
promptpg.github.io/explore.html 🧵3/7 Image
Read 7 tweets

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