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- Equality and Diversity in AI Images 🌈
Equality and Diversity in AI Images 🌈
PLUS: Multi-agent Framework by Microsoft, Google's AI for Social Advertising
Today’s top AI Highlights:
AutoGen: Multi-agents Framework for Language Models Applications
Addressing Biases in Generative AI Image Models
DemandGen by Google for AI-powered Social Marketing
Replit “AI for All” Now Available to All
Clone Voice in Different Languages with AI
& so much more!
Read time: 3 mins
Latest Developments 🌍
Multi-Agents for Complex LLM Applications 👯♂️
AutoGen framework by Microsoft is designed to facilitate the development of advanced LLM applications by employing multiple agents, including LLMs, tools, and humans, to converse with each other and solve tasks.
Key Highlights:
AutoGen offers the ability to customize agents according to the specific requirements of an application. This customization includes choosing the LLMs to use, the types of human input to allow, and the tools to employ.
It seamlessly incorporates human participation, allowing humans to provide input and feedback to the agents.
It enhances the utility of expensive LLMs like ChatGPT and GPT-4 by providing advanced functionalities such as tuning, caching, error handling, and templating.
Towards Diversity in Text-to-Image Models 🌈
Researchers at RunwayML have released a study addressing the issue of social biases in state-of-the-art generative text-to-image models, which tend to over-represent certain groups, such as people of lighter skin tones and men.
Key Highlights:
The proposed method for mitigating biases involves fine-tuning text-to-image models on diverse synthetic data constructed from text prompts that incorporate various combinations of ethnicities, genders, professions, age groups, and more.
The Diversity Fine-Tuned (DFT) model significantly improves group fairness metrics, with a 150% improvement for perceived skin tone and a 97.7% improvement for perceived gender compared to baselines.
The impact of prompt qualifiers during training is studied, demonstrating that training with ethnicity and gender qualifiers results in more balanced outcomes, especially in terms of gender and skin tone diversity.
Revamp Your Social Advertising with AI 📊
Google is rolling out Demand Gen campaigns to all Google Ads customers to enhance social advertising strategies and drive demand across YouTube and Google. These campaigns are powered by AI and provide new insights and customer success stories.
Key Highlights:
Consumers engage with their favorite content and creators across various formats, including NFL highlights on YouTube, 60-second Shorts, and Discover. Online users are 61% more likely to use YouTube or Google for product research compared to traditional social sites.
Demand Gen offers a variety of ad formats, including short-form videos and carousels, allowing brands to tailor their content to their audiences.
Demand Gen combines first-party data with Google's interest signals to create Lookalike segments and reach new customers. Advertisers can choose bidding strategies that align with their goals, such as clicks, conversions, or website actions.
Replit Empowers Software Developers with AI 💻
Replit is making "Replit AI for All" generally available, a significant development in software creation that leverages AI to accelerate the software development process. Code completion and code assistance are now enabled by default, with basic AI features for free users and advanced capabilities for Pro users. Additionally, they are rolling out their new code LLM "replit-code-v1.5-3b" to enhance code completion in their editor.
Tools of the Trade ⚒️
AI Dubbing by Eleven Labs: Clone voice from audio or video file in 28 different languages, while keeping the speaker’s voice intact across languages. Just upload the file, choose the source and desired language, and relax.
Here’s a sample translation from English to German:
Tabby: AI Coding Assistant that accelerates coding with real-time multi-line suggestions, project-specific tuning, and open-source deployment options, including hosting on Github or self-hosting.
Xero.AI: Build an AI-powered ML Engineer that uses natural language to build end-to-end machine learning projects, including data exploration, transformation, and model training/testing.
Moonvalley: Text-to-video AI platform for creating breathtaking cinematic & animated videos from simple text prompts.
Magpai: Streamlines content creation with AI, offering a collaborative node editor for various content types and integration with popular tools like Figma and Canva.
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Hot Takes 🔥
with how long you can be stuck on certain bugs, i think you need to be slightly insane to be a software engineer ~ Kevin Naughton Jr.
My prediction: in 2024, most companies will realize that smaller, cheaper, more specialized models make more sense for 99% of AI use-cases. The current market & usage is fooled by companies sponsoring the cost of training and running big models (especially with cloud incentives). ~ Clement Delangue
Meme of the Day 🤡
That’s all for today!
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