AI Innovators, Gather Round

Control OpenAI costs, explore Google’s new AI model, and claim your BONUS: 6 months of free Notion AI for startups.

In today’s power-packed edition:

• Have You Looked At Your OpenAI Spend?

• How User Names Affect AI Responses

• LVD-2M: AI-Driven Video Creation Gets a Boost

• Google Introduces Gemma-APS for Text Segmentation

• Constitutional AI: An Ethical Standard

• Bonus for Startups: Unlock 6 Months of Notion AI—Free

• 🤖5 AI Email Automation Tools for any Purpose

Have You Looked At Your OpenAI Spend?

OpenAI just raised $10B because they’ve built a revenue model that charges for data in & then charges a multiplier for data received.

You can imagine how quickly these charges add up. If you’re an OpenAI business customer you’re at risk of seeing token costs quickly spiral out of control.

Tumeryk AI Guard is here to help with Cost Containment now:

• Optimized Token Processing: Fewer tokens, same performance.

• Minimizing Token Overruns: Controlled responses, and reduced costs.

• Preventing Token Inflation: Filtering out unnecessary & malicious requests

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How User Names Affect AI Responses

OpenAI recently examined how user names could influence AI chatbot responses in their study on first-person fairness.

The research explored whether names, often linked to cultural, gender, or racial cues, affect chatbot interactions. 

For instance, two users with different names might receive varied responses to identical queries due to perceived backgrounds.

To avoid this, a secondary AI was used to ensure more equitable responses. 

Reinforcement learning techniques were found to significantly reduce bias. 

Should AI systems adapt responses based on user identities, or should they stay neutral?

LVD-2M: AI-Driven Video Creation Gets a Boost

A new dataset, LVD-2M, developed by ByteDance and The University of Hong Kong, is set to revolutionize AI video generation. 

LVD-2M enables AI models to generate longer, more dynamic videos, focusing on intricate movements crucial for real-world scenarios.

Fine-tuned AI models trained on this dataset have shown improved performance in creating smoother, more detailed videos. 

This study has significant potential for industries like film, virtual reality, and automated content creation. 

Google Introduces Gemma-APS for Text Segmentation

Google AI has launched Gemma-APS, a cutting-edge model suite for text segmentation, solving a key challenge in natural language processing. 

Text-to-proposition segmentation breaks down complex text into meaningful pieces, essential for summarizing or analyzing unstructured data. 

Built on the Gemini Pro model and trained with synthetic data, Gemma-APS boasts impressive accuracy and efficiency. 

Available on Hugging Face, Gemma-APS promises to improve AI-powered tasks like document summarization and data extraction.

Constitutional AI: An Ethical Standard

Anthropic’s Claude AI introduces Constitutional AI, an approach designed to make AI systems safer and more ethical. 

Instead of relying on constant human input, Claude AI follows a “constitution” inspired by global ethical standards like human rights and privacy protection. 

This allows the AI to make fair and transparent decisions while avoiding harmful behavior. This framework is a major step toward responsible AI development. 

Curious to know more? Check out our full article on how Constitutional AI is shaping ethical AI.

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🤖5 AI Email Automation Tools for any Purpose

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