- Hyrise AI
- Posts
- 🤖 Stability AI’s latest tool
🤖 Stability AI’s latest tool
PLUS: Microsoft's Remarkable Advancements in Small AI Models
Welcome, AI Enthusiasts.
Stability AI, the creator of the Stable Diffusion text-to-image AI model, has introduced Stable 3D, an AI-powered application for generating textured 3D objects.
Microsoft's smaller language model, Phi 1.5, has gained multimodal capabilities, allowing it to interpret images without a significant increase in its size.
In today’s issue:
🤖 Stability AI’s latest tool
🦾 Microsoft's Remarkable Advancements in Small AI Models
🛠️ 3 New AI tools
💻 Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 4 minutes.
LATEST HIGHLIGHTS
STABILITY AI
🤖 Stability AI’s latest tool
Image source: DALL-E 3
To recap: Stability AI has launched Stable 3D, an AI-powered tool for swiftly generating 3D models, targeting graphic designers and game developers. However, concerns about the tool's training data sources arise due to previous legal disputes, as the company aims to diversify its offerings amidst fierce competition in the generative AI space.
The details:
Stable 3D is an AI-powered application designed to generate draft-quality 3D models quickly, catering to graphic designers, digital artists, and game developers.
Stability AI has faced legal concerns related to the source of its training data for AI models, which may have implications for users of Stable 3D if copyrighted data was used without proper licensing.
Despite financial challenges, including delayed wage payments and potential access restrictions from AWS, Stability AI recently raised $25 million in convertible note funding to support its operations and expansion efforts.
Here is the key takeaway: The key takeaway is that Stability AI has introduced Stable 3D, an AI-powered tool for efficient 3D model generation, though concerns linger about the source of its training data. The company is diversifying its product offerings to remain competitive in the generative AI market despite financial challenges.
Image source: DALL-E 3
In Summary: In an exclusive interview, Microsoft researchers have revealed that they've added multimodal capabilities to their smaller language model, Phi 1.5, enabling it to interpret images without significantly increasing its size. This development offers a more energy-efficient and cost-effective alternative to massive models like GPT-4, which are expensive to operate, and highlights the potential for small models to complement their larger counterparts in various AI applications. Additionally, small open-source models like Phi 1.5 align with European efforts to promote open source AI models for competitive advantage, but regulatory challenges persist in the AI landscape.
Key points:
Microsoft's smaller language model, Phi 1.5, has gained multimodal capabilities, allowing it to interpret images without a significant increase in its size. This development offers a cost-effective and energy-efficient alternative to larger AI models like GPT-4.
Smaller AI models like Phi 1.5 have the potential to handle many tasks efficiently and are seen as complementary to larger foundation models. While large models are necessary for some applications, smaller models are more economical for specific tasks.
Microsoft researchers are exploring the possibility of using multiple small models together as "agents" to handle different aspects of a task, demonstrating the versatility and potential of small AI models in AI applications.
In Europe, open-source small AI models like Phi 1.5 are viewed as a means to compete with American and Chinese AI companies, as they align with open-source principles. However, regulatory challenges still exist, especially concerning commercial use of such models, despite exemptions from proposed AI regulations in certain cases.
Our thoughts: The advancement of smaller AI models like Phi 1.5 with multimodal capabilities is a significant stride toward cost-effective and energy-efficient AI solutions. Embracing smaller models alongside larger ones offers a pragmatic approach to achieving both efficiency and performance in AI applications, while open-source models align with innovation goals but necessitate careful regulatory considerations.
TRENDING TECHS
💬 Publer- Create, Schedule & Analyze all Social Posts on One Platform.
😺 Kittl- Kittl helps you to create stunning graphics with intuitive tools that empower your creation process - from using the best templates by other professionals to creating full projects from scratch.
⚡️ Locofy- Turn Figma or Adobe XD designs into code: React, React Native, HTML-CSS+
AI DOJO
Scenario Builder:
Prompt: "Build a complex narrative scenario for a mystery thriller game set in a post-apocalyptic world."
DALL-E 3
Iconic Moment Capturer:
Prompt: "Illustrate a heartwarming scene where a child gives a homeless person a sandwich."
QUICK BYTES
Brave is introducing its AI assistant Leo to its desktop browser, powered by the Llama 2 language model developed by Microsoft and Meta. Users can perform various tasks with Leo, and there's also a paid version, Leo Premium, offering extended capabilities. Brave emphasizes user privacy, ensuring that conversations with Leo are not stored on its servers and that personal data is not collected, and a mobile release for Android and iOS is planned in the coming months.
🎶 AI Collaborative Effort: The 'Final' Beatles Song, 'Now and Then
The Beatles have released a new song, "Now and Then," their first since 1995. The track was created using a demo from John Lennon and a guitar track from George Harrison, with Paul McCartney and Ringo Starr completing it with the help of machine learning technology. While it may not become one of their most famous songs, Lennon's haunting vocals stand out in this slow ballad. The song was originally intended for release in 1995 but was delayed due to technological limitations at the time. The Beatles suggest this may be their final song, but only time will tell if that holds true.
Kaiber, the generative AI creative studio known for producing music videos for artists like Kid Cudi and Linkin Park, has launched a mobile app offering AI tools for creators. The app allows users to generate animated content using text-to-video, image-to-video, and video-to-video features, offering animation styles like "Flipbook" and "Motion." Creators can customize camera movements, aspect ratios, and add their own music, making it an affordable alternative for independent artists. Kaiber offers a subscription-based pricing model and aims to simplify the creative process across various art forms with the help of generative AI.
SPONSOR US
🦾 Get your product in front of AI enthusiasts
THAT’S A WRAP