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- 🤖🔥 Meta's 30B AI Movie Model! | Open FinLLM Leaderboard | Local AI in Browser with Nvidia
🤖🔥 Meta's 30B AI Movie Model! | Open FinLLM Leaderboard | Local AI in Browser with Nvidia
Explore Meta's groundbreaking 30B parameter movie model, discover the Open FinLLM Leaderboard for financial AI, and learn how Nvidia and Ollama enable local AI model execution in your browser!
Himanshu Maggu
October 07, 2024
Welcome back! This is The AI Takeover, read this daily so you don’t get left behind by AI! In todays newsletter:
- 🚨 Meta Unveils 30B Parameter Movie Model: AI Breakthrough!
- 🚨 The Open FinLLM Leaderboard: Evaluating Financial Language Models
- 🚨 Run Local AI Models in Browser with Nvidia & Ollama
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NEWS
Meta Unveils 30B Parameter Movie Model: AI Breakthrough!
Meta has developed a cutting-edge movie model featuring 30 billion parameters, utilizing 6,144 H100s for training. The model was trained on 1 billion images and 100 million carefully curated videos. Notably, it employs Temporal Autoencoder and Flow Matching Llama technologies. Meta has also released a comprehensive 92-page research paper, making it one of the most detailed analyses in the field.
NEWS
The Open FinLLM Leaderboard: Evaluating Financial Language Models
The Open FinLLM Leaderboard is a dedicated evaluation platform designed specifically for financial language models. It assesses performance on key financial tasks, including predicting stock movements, conducting sentiment analysis, and extracting information from financial reports. This initiative aims to enhance the effectiveness of AI models in the finance sector, ensuring they meet industry-specific needs.
NEWS
Run Local AI Models in Browser with Nvidia & Ollama
Nvidia's RTX-Acceleration, in conjunction with Ollama, enables the execution of local models directly in the browser. This powerful combination enhances performance and responsiveness, allowing users to leverage AI capabilities without relying on cloud services. With this technology, developers can run complex models locally, improving efficiency and user experience while maintaining control over their data and resources.
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