These are the top apps Gen Z young adults downloaded this year
It’s clear that Gen Z has an influence on app consumption. Known as the “mobile-first generation,” they make up about 40% of all mobile users worldwide. Curious about their preferences,…
Are Video Games Becoming Too Smart?
Remember the days when beating a video game was just about memorizing patterns, learning when to jump, and mashing buttons in the right order? Those days seem like a distant…
Open source projects draw equity-free funding from corporates, startups, and even VCs
A dearth of funding for vital open source technologies is leading to a swath of support from startups, unicorns, corporations, and even venture capital firms. Last year, Bloomberg launched its…
Cerebras Systems Revolutionizes AI Inference: 3x Faster with Llama 3.1-70B at 2,100 Tokens per Second
Artificial Intelligence (AI) continues to evolve rapidly, but with that evolution comes a host of technical challenges that need to be overcome for the technology to truly flourish. One of…
SambaNova and Hugging Face Simplify AI Chatbot Integration with One-Click Deployment
The deployment of AI chatbots has long been a significant challenge for organizations, particularly for those without the necessary technical expertise or infrastructure to support advanced AI models. Developing AI…
Can a Robot Get You in Shape?
Picture this: It’s 6 AM. Your alarm goes off, and instead of dreading another monotonous workout, you’re excited to lace up your sneakers. Why? Because your “trainer” is not some…
RAGCache: Optimizing Retrieval-Augmented Generation with Dynamic Caching
Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of large language models (LLMs) by incorporating external knowledge to provide more contextually relevant and accurate responses. However, this technique comes with…
Anthropic AI Introduces a New Token Counting API
Precise control over language models is crucial for developers and data scientists. Large language models like Claude from Anthropic offer remarkable opportunities, but managing tokens effectively is a key challenge.…
This AI Paper Introduces BitNet a4.8: A Highly Efficient and Accurate 4-bit LLM
Large language models (LLMs) have become foundational in natural language processing, especially in applications where understanding complex text data is critical. These models require vast amounts of computational resources due…
Kwai-STaR: An AI Framework that Transforms LLMs into State-Transition Reasoners to Improve Their Intuitive Reasoning Capabilities
Large Language Models find it challenging to understand Mathematical reasoning. Mathematical reasoning involves various cognitive tasks like understanding and manipulating mathematical concepts, solving problems, and making logical deductions. Existing methods…