🚀 Intel's New AI Model, Netflix's Plan for Better Recommendations, and Top AI Tools

đź’ˇ BONUS: AI Project CheatSheet

Welcome, AI enthusiasts!

Learn how to monetize your AI, discover Intel’s new ternary model for better multimodal understanding, and explore Netflix’s fresh take on user satisfaction. Don’t miss the latest AI tools and strategies!

In today’s Generative AI Newsletter:  

  • AI to Profit: Learn How to Monetize Your Own AI API 👇

  • Intel Unveils First Ternary Model for Multimodal Understanding

  • Netflix Reveals New Strategy for Boosting Long-Term User Satisfaction in Recommendations

  • New VoicePilot Tool Helps Robots Assist People Better

  • Improving AI's Vision and Language Skills

  • BONUS: AI Project CheatSheet

  • 🤖5 Best Tools for Researchers and Academics

AI to Profit: Learn How to Monetize Your Own AI API 👇

Creating innovative AI models is just the beginning. The real challenge is turning them into profit đź’°

Interested in learning how? Apiable.io is hosting a webinar where you'll be guided step-by-step on creating and monetizing AI-powered APIs.

🎙️Topics include:

  • Integrating AI into an API Gateway

  • Connecting to the Apiable Portal

  • Building a sustainable revenue stream

Unlock the full potential of your AI on September 12th.

Intel Unveils First Ternary Model for Multimodal Understanding

Intel has introduced the LLaVaOLMoBitNet1B, the first ternary model capable of understanding both images and text.

Unlike traditional models that rely on full-precision calculations, this model uses ternary (3-bit) weights, significantly reducing its hardware requirements. This makes it possible to run on more accessible devices.

While ternary multimodal models are still in their early stages, upcoming research will likely focus on developing effective methods to convert existing models to ternary precision.

The LLaVaOLMoBitNet1B and its training resources are freely available.

Netflix Reveals New Strategy for Boosting Long-Term User Satisfaction in Recommendations

Netflix recently shared powerful insights into how they’re tackling the challenge of long-term user satisfaction in their recommendation system.

Traditionally, recommendation algorithms focus on short-term metrics—think clicks or immediate plays. 

But Netflix is flipping the script. They recognize that while these metrics matter, they don’t necessarily lead to lasting satisfaction. 

Their approach is to prioritize what makes users happy over time, not just in the moment.

Curious to learn more? Dive into the full article for our detailed look at Netflix’s innovative approach and discover how it can inspire your own AI-driven strategies.

New VoicePilot Tool Helps Robots Assist People Better

Carnegie Mellon University has developed a new tool called VoicePilot, which could change how people with motor impairments interact with assistive robots. 

VoicePilot uses LLMs to help robots understand and respond to human speech more naturally. The research team tested VoicePilot with a robot called Obi, which helps with feeding. 

The goal was for users to give simple, personalized instructions and have the robot carry them out effectively.

AI Project CheatSheet

This cheat sheet provides a step-by-step guide for managing AI projects, from start to deployment.

🤖5 Best Tools for Researchers and Academics 

AcademicHelp helps improve academic writing and editing with useful resources.

Best Deal: 25% off annual plans.

Jenni AI assists in writing research papers with AI-generated content and citations.

Afforai provides AI tools for data analysis, summarizing papers, and managing references.

StudyX offers AI tools like flashcards and summaries to help with studying and research.

QuillBot AI-powered tool to paraphrase, summarize, and improve academic writing.

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