🤖Anthropic’s New API Slashes AI Costs by 50%!💸🏆

In Today's Blog:

• 💡Anthropic’s New Batch API: AI at Half the Cost!💰✨
  

• 👓Harvard Students Use Meta’s Smart Glasses to Unveil Privacy Risks!🔍

• 🤖China Telecom’s AI Breakthrough: 1 Trillion Parameters on Domestic Chips!🇨🇳

• ✨Amazon’s Alexa Gets a Major AI Upgrade with Anthropic’s Claude!💬

💡Anthropic’s New Batch API: AI at Half the Cost!💰

Anthropic has introduced a new Message Batches API that allows businesses to process large volumes of data at half the cost of standard API calls. This API can handle up to 10,000 queries asynchronously within a 24-hour window, making advanced AI models more accessible and cost-effective.

• 🚀 Anthropic introduced the Message Batches API, allowing businesses to process large volumes of data at half the cost of standard API calls.
• 💰 The Batch API offers a 50% discount on both input and output tokens, making advanced AI models more accessible and affordable.
• 🏢 This move could lead to a surge in AI adoption among mid-sized businesses, enabling more comprehensive and frequent data analyses.
• 🔄 Anthropic’s approach emphasizes “right-time” processing over real-time, balancing cost and speed for various business applications.

      Read about it here: Link

👓Harvard Students Use Meta’s Smart Glasses to Unveil Privacy Risks!🔍

Two Harvard students developed a tech stack called I-XRAY using Meta’s Ray-Ban smart glasses, face search engines, large language models (LLMs), and public databases to identify people and retrieve personal details like names and addresses in real-time.

• 🕶️ Meta’s latest Ray-Ban smart glasses can identify people and gather personal details using advanced tech.
• 🔒 The I-XRAY project by Harvard students highlights significant privacy risks by identifying individuals and their personal information in real-time.
• 📸 The system uses facial recognition models like PimEyes to match faces with online images and URLs.
• 🤖 I-XRAY leverages large language models (LLMs) to extract and compile personal data from various online sources automatically.

     Read more about it: Link

🤖China Telecom’s AI Breakthrough: 1 Trillion Parameters on Domestic Chips!🇨🇳

China Telecom has achieved a significant milestone by training two large language models (LLMs) using domestically-produced chips. One of these models, with an impressive one trillion parameters, showcases China’s growing self-reliance in AI technology amidst US export restrictions on advanced semiconductors.

• 🇨🇳 China Telecom has trained two large language models (LLMs) using domestically-produced chips, showcasing China’s self-reliance in AI technology.
• 📈 One of the models has an impressive one trillion parameters, making it highly complex and powerful.
• 🇺🇸 Due to US limitations on advanced semiconductors, China is developing its own AI chips, reducing reliance on foreign technology.
• 🤝 China Telecom is working with local chipmakers like Huawei and Cambricon to build a homegrown AI ecosystem.

     Read about it here: Link

✨Amazon’s Alexa Gets a Major AI Upgrade with Anthropic’s Claude!💬

Amazon is set to release a revamped version of Alexa in October, powered by Anthropic’s Claude AI models1. This new “Remarkable” Alexa will use generative AI to handle complex queries and will be available for a monthly fee of $5 to $102.

• 🤖 Amazon is launching a new version of Alexa powered by Anthropic’s Claude AI, aiming to improve its performance and capabilities.
• 💰 The new “Remarkable” Alexa will cost $5 to $10 per month, while the classic version remains free.
• 🐢 Amazon’s in-house AI struggled with slow responses, prompting the switch to Claude.
• 📈 Amazon hopes the paid version will boost sales and make Alexa more profitable.

     Read about it here: Link

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GS-VTON, a novel image-prompted 3D-VTON which, by leveraging 3D Gaussian Splatting as the 3D representation, enables the transfer of pre-trained knowledge from 2D VTON to 3D while improving cross-view consistency.