Today on AI Daily, we have three-big stories for you. First, Meta's Llama 2 takes the spotlight, revolutionizing open-source models with its commercial availability. Next, we discuss Neural Video Editing which offers a game-changing solution for seamless frame-by-frame editing in videos. And lastly, FlashAttention-2 delivers lightning-fast GPU efficiency and supercharging performance.
Key Points
1️⃣ Meta’s Llama 2
Llama 2, Meta's new addition to the llama open source model, is now commercially available and free for commercial use.
Llama 2 is highly capable, comparable to GP 3.5, and is expected to dominate the open source model landscape.
The release of Llama 2 creates a significant shift for AI developers, allowing them to run and fine-tune models without additional costs or safety measures from OpenAI.
2️⃣ Neural Video Editing
Neural video editing allows users to edit a single frame in a video and apply the edit to the entire video, making it accessible and powerful for beginners and those with limited resources.
This technology combines optical flow, control nets, and segment anything to enable interactive and real-time editing of videos.
Adobe and the University of British Columbia collaborated on the development of this interactive neural video editing, which is expected to be integrated into Adobe products soon.
3️⃣ FlashAttention-2
FlashAttention-2 is a highly efficient GPU usage technique that is twice as fast as the original FlashAttention, providing a significant boost in performance and cost-effectiveness.
The improved FlashAttention enables longer context windows for video and language models and paves the way for future hardware developments.
This advancement is crucial for maximizing GPU capabilities and brings us closer to unlocking the full potential of current and upcoming hardware.
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Meta's Llama 2 | Neural Video Editing | FlashAttention-2