Roop AI: Deepfake in a single click
Plus: AI plays Minecraft on its own. LaVIN a cheaper vision-language adaptation in LLMs.
Hello, Engineering Leaders and AI Enthusiasts,
Welcome to the 30th edition of The AI Edge newsletter. In today’s edition, we bring you Roop - a 1-click face-swap AI which needs no dataset & training. Thank you everyone who is reading this. 😊
In today’s edition:
🤯 Roop: 1 click AI face swap software.
🌍 AI agent Voyager plays Minecraft on its own.
🔦LaVIN, for cheap and quick vision-language adaptation in LLMs.
💽 Intel to debut a VPU for efficient handling of AI workloads.
🧠 Knowledge Nugget: Four Don’t Dos That We Already Did With AI by
Let’s go!
Roop: 1 click AI face swap software with no dataset & training
Roop is a 1 click, deepfake face-swapping software. It allows you to replace the face in a video with the face of your choice. You only need one image of the desired face and that’s it- no dataset or training is needed.
In the future, they are aiming to:
Improve the quality of faces in results
Replace a selective face throughout the video
Support for replacing multiple faces
Why does this matter?
Roop is a powerful tool that can be used for various purposes. However, it is crucial to know the potential risks of using Roop. For example, Roop could be used to create deep fakes to spread misinformation or damage someone's reputation.
Voyager: First LLM lifelong learning agent that can continuously explore worlds
Voyager is the first LLM-powered lifelong learning agent in Minecraft that uses advanced learning techniques to explore, learn skills, and make discoveries without human input.
It consists of 3 key components:
Automatic curriculum for exploration.
Ever-growing skill library of executable code for storing and retrieving complex behaviors.
Iterative prompting mechanism for incorporating environment feedback, execution errors, & program improvement.
Voyager interacts with GPT-4 through blackbox queries, bypassing the need for fine-tuning. It demonstrates strong lifelong learning abilities and performs exceptionally well in Minecraft. Voyager rapidly becomes a seasoned explorer. In Minecraft, it obtains 3.3× more unique items, travels 2.3× longer distances, and unlocks key tech tree milestones up to 15.3× faster than prior methods & they have open-sourced everything!
Why does this matter?
Voyager's advancements pave the way for more intelligent and autonomous AI systems, which can contribute to advancements in areas such as automation, robotics, virtual simulations, and problem-solving in complex environments. It showcases the potential for AI to become more self-sufficient, adaptable, and capable of solving real-world challenges.
LaVIN, for cheap and quick vision-language adaptation in LLMs
New research from Xiamen University has proposed a novel and cost-effective for adapting LLMs to vision-language (VL) instruction tuning called Mixture-of-Modality Adaptation (MMA).
MMA uses lightweight adapters, allowing joint optimization of an entire multimodal LLM with a small number of parameters. This saves more than thousand times of storage overhead compared with existing solutions. It can also obtain a quick shift between text-only and image-text instructions to preserve the NLP capability of LLMs.
Based on MMA, a large vision-language instructed model called LaVIN was developed, enabling cheap and quick adaptations on VL tasks without requiring another large-scale pre-training. On conducting experiments on ScienceQA, LaVIN showed on-par performance with the advanced multimodal LLMs, with training time reduced by up to 71.4% and storage costs by 99.9%.
Why does this matter?
Adapting LLMs to multimodal instructions requires substantial training time and costly pre-training. Moreover, existing solutions are characterized by excessive parameter optimization and the need for large-scale pre-training before vision-language (VL) instruction tuning. This new approach overcomes these limitations.
Intel to debut a VPU for efficient handling of AI workloads
While sharing the first details about its upcoming Meteor Lake platform, Intel announced a new AI engine– a VPU (vision processing unit)-- built into the processor. It is designed to handle specific AI workloads much more efficiently than a general-purpose CPU or even a GPU could, enabling AI workloads to run locally on a computer. Moreover, it is also designed for sustained AI workloads, such as applying effects like background blur.
Intel hopes this will push client-side AI workloads forward, significantly reducing the compute requirements of AI inferencing.
Why does this matter?
Whether it's conversational AI like ChatGPT or image generation with Midjourney and Stable Diffusion– these workloads are typically handled in the cloud. It can mean increased costs for software vendors, especially as these tools become more advanced and have privacy concerns for users. And with features like Windows Copilot, AI will be everywhere. Intel’s AI-focused processor aims to reduce compute costs and further democratize AI.
Knowledge Nugget: Four Don’t Dos That We Already Did With AI
The arrival of ChatGPT changed the world overnight. Because we did all the four “don’ts,” we weren’t supposed to.
Don’t teach it to code
Don’t connect it to the internet
Don’t give it a public API
Don’t start an arms race
These were to avoid an intelligence explosion. So, what now?
This interesting article is by
and . They throw light on how we have already broken the four warnings. It also suggests the top three ways (not-so-surprisingly suggested by ChatGPT) that can help stop AI from harming humanity.Why does this matter?
Understanding the implications of AI is crucial because it has the potential to significantly disrupt various industries and reshape the way we live/work. The above article highlights the risks and challenges associated with the rapid advancement of AI. It emphasizes the urgency of control, transparency, and ethical frameworks necessary to guide the development and use of AI responsibly. Do you think it’s too late, or can we still turn the ship around?
What Else Is Happening
👨💻 From only a text prompt, AI can conjure up a man that doesn’t exist (Link)
🤝 NVIDIA, MediaTek team up to bring AI-powered infotainment to cars (Link)
🧪 American Express will experiment cautiously with generative AI for fintech (Link)
🚗 BMW has begun experimenting with AI in designing (Link)
🚀 Introducing TaleCrafter: AI to generate full video from a story in plain text (Link)
Trending Tools
Weploy AI: Translate JS apps to any language in 1 min. Install NPM package, get free API key. First 500 translations are free!
Ticket AI: Discord bot for business support tickets. AI-generated responses based on custom training data.
Adlous AI: Content creation powered by ChatGPT API. Create precise content in various formats.
Todo: AI-driven app for productivity. Automate task creation, optimize schedule, and streamline workflow.
Liffery: AI-powered research assistant. Capture, consider, collaborate, and decide. Push-ad-free!
GPT-Vetting: AI-powered technical vetting tool. Measures skills, gives trust score, generates detailed report for hiring.
Magicflow: AI time tracker for deep work. Real-time coaching, no context switching, automatic work categorization.
Freepik AI Image Generator: Create unique images with text using AI Image Generator. Stunning images in available art styles.
That's all for now!
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Thanks for reading, and see you tomorrow.