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- 🤖AI Updates: Meta, Microsoft, Anthropic
🤖AI Updates: Meta, Microsoft, Anthropic
Explore Meta's fast Llama AI for mobile, Microsoft’s OmniParser for UI tasks, and Claude’s new code execution feature by Anthropic
AI Innovators, Gather Round
Discover Meta's speedy Llama AI for mobile, Microsoft’s powerful OmniParser for UI tasks, and Anthropic’s Claude now supporting code execution—all in this edition of AI Innovators!
In today’s power-packed edition:
Meta Unveils Quantized Llama Models for Mobile - Fast, Lightweight, and Ready to Go!
Salesforce AI’s BLIP-3-Video: Deep Video Understanding with Only 32 Tokens
Microsoft’s OmniParser for UI Screen Parsing Now on HuggingFace
Claude by Anthropic Now Supports Code Execution
🤖5 Best AI Mind Mapping Tools
Meta Unveils Quantized Llama Models for Mobile - Fast, Lightweight, and Ready to Go!
Meta just launched quantized Llama 3.2 models (1B & 3B) optimized for mobile, delivering incredible speed and efficiency.
Key Highlights:
Speed Boost: Up to 2-4x faster inference times, ideal for applications needing rapid responses.
Compact Size: Models are 56% smaller, meaning lower memory usage and simpler deployment on a wide range of devices.
Versatile Hardware Compatibility: Designed for CPUs, GPUs, and mobile devices, making advanced AI accessible without high-end setups.
High Accuracy: With Quantization-Aware Training (QAT), these models retain around 95% of Llama 3's accuracy on core NLP tasks.
Salesforce AI’s BLIP-3-Video: Deep Video Understanding with Only 32 Tokens
Salesforce AI Research presents BLIP-3-Video, a video language model that uses just 16-32 tokens to represent visual data from entire video segments.
Key Features:
Token Efficiency: Condenses frame data into a minimal number of tokens, keeping processing quick and energy-efficient.
Focused Attention: A spatio-temporal attentional pooling method focuses on only essential frame details.
Performance: Competes with larger models on benchmarks like MSVD-QA and MSRVTT-QA with high accuracy at a fraction of the token usage.
Microsoft’s OmniParser for UI Screen Parsing Now on HuggingFace
Microsoft released OmniParser on HuggingFace, a powerful tool that converts UI screenshots into structured formats, optimizing UI-agent tasks.
OmniParser works across screens on different devices to detect interactive areas and interpret icons, making it easier to navigate and automate digital interfaces.
Claude by Anthropic Now Supports Code Execution
Anthropic has upgraded Claude with a new JavaScript-based coding sandbox, allowing users to write, execute, and visualize code directly.
Features:
Run step-by-step data analysis and calculations.
Ideal for users needing custom code solutions without leaving the AI interface.
🤖5 Best AI Mind Mapping Tools
MindPal – AI-Enhanced Mind Mapping and Brainstorming
AI-driven platform for mind mapping and idea organization, offering 30% off all yearly plans with code GENAIWORKS30.
Miro – Visual Collaboration and Mind Mapping Platform
A widely used AI-powered tool for real-time collaboration, brainstorming, and mind mapping.
Notion – AI-Powered Note-Taking and Mind Mapping
AI-integrated platform for mind mapping, note-taking, and team collaboration, combining multiple productivity features.
StudyX – AI-Powered Mind Mapping and Study Tool
An AI-driven platform for students that combines mind mapping, flashcards, and study techniques.
Monday.com – AI-Enhanced Project and Mind Mapping Platform
AI-powered project management platform with mind mapping capabilities for organizing tasks, ideas, and team collaboration.
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