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Learn how AICosts.ai helps businesses manage the costs of AI services like ChatGPT and Claude, addressing core issues such as fragmented billing management across multiple platforms, cost anomaly monitoring, and cross-platform optimization.

A comprehensive analysis of the features, user experience, and actual effects of the RepediaAI AI job platform, including services like smart job matching, interview practice, and resume optimization, to help you determine if this AI job assistant is worth using.

Comprehensive analysis of the functional features and user experience of the LLM SEO Monitor tool, learn how to enhance brand visibility in AI search engines like ChatGPT and Gemini through professional monitoring, and gain commercial value from AI search traffic.

Gain insight into how this revolutionary tool, LLM SEO Monitor, helps brands monitor their performance in AI assistant search results like ChatGPT and Google Gemini. Analyze core functionalities, compare pricing pros and cons, and learn how to use it to bring new competitive advantages to brands in the AI search era.

MegaT AI Search has launched a brand new Ultra-fast model, marking a significant breakthrough in its artificial intelligence search technology. Through innovative technical means, the response speed of MegaT AI Search has reached an amazing 400 tokens/second, ensuring that most questions can be answered within 2 seconds. This advancement not only enhances user experience but also significantly improves information retrieval efficiency. The realization of the Ultra-fast model is thanks to the application of multiple advanced technologies. The MegaT AI team has optimized on GPUs using ker

Ahrefs, a leading SEO tool provider, recently released a study revealing a significant negative impact of Google's AI Snapshot feature on search engine results page (SERP) click-through rates. The study shows an average CTR drop of 34.5% for keywords where the AI Snapshot appeared. The research analyzed 300,000 keywords from Ahrefs' Keywords Explorer database, with half triggering the AI Snapshot and half not. By comparing data from March 2024 (when AI...

AMD's advancements in AI are noteworthy, particularly its latest optimizations for the Stable Diffusion model. Recently, Stability AI released an ONNX-optimized version of Stable Diffusion, resulting in significantly improved performance for AMD Radeon GPUs and Ryzen integrated graphics in AI tasks, with speed increases up to 3.8 times faster. This progress narrows the gap with NVIDIA's ecosystem...

In today's generative AI-driven world, how brands perform in machine-generated search results is increasingly crucial. Israeli startup Brandlight recently announced a $5.7 million funding round to help businesses effectively influence how AI models perceive and represent their brands. Founded by CEO Imri Marcus, CTO Dvir Dvash, and COO Uri Gafni, the company attracted Cardumen Capital upon launch.

Pruna AI, a European startup focused on AI model compression algorithms, recently announced the open-sourcing of its optimization framework to help developers more efficiently compress AI models. The framework developed by Pruna AI combines several efficiency methods, including caching, pruning, quantization, and distillation, aiming to improve AI model performance. It not only standardizes the saving and loading of compressed models but also evaluates the compressed models to determine whether their quality has significantly degraded, while simultaneously measuring performance.

On March 13th, the AI interaction platform Chat Playground received a major update and was officially renamed Prompts Playground. According to the official announcement, this upgrade not only involves a name change but also a complete redesign of the platform, aimed at improving user experience and helping users more efficiently test, compare, and iterate prompts. The new Prompts Playground introduces several useful tools, including Web search integration and more.

In the fiercely competitive AI landscape, a million-dollar experiment is quietly revolutionizing large language model (LLM) training. Jieyue Xingchen's research team recently released groundbreaking findings. By utilizing nearly 1 million NVIDIA H800 GPU hours, they trained 3,700 models of varying sizes from scratch, accumulating a staggering 100 trillion tokens. This revealed a universal scaling law dubbed 'Step Law,' offering a novel guide for efficient LLM training.

DeepSeek launched an official account on Zhihu and published a technical article, "DeepSeek-V3/R1 Inference System Overview," detailing its model inference system optimization and cost-profit margin information for the first time, marking the end of the highly anticipated DeepSeek Open Source Week. The article highlights two key optimization goals for the DeepSeek-V3/R1 inference system: higher throughput and lower latency. To achieve these goals, DeepSeek employs large-scale cross-node expert parallelism (EP) technology, although...

In 2024, with the rise of AI-generated search results, many websites are experiencing a sharp decline in organic traffic. In response to this trend, Austrian startup Otterly has developed a tool focused on AI Search Visibility Optimization to help businesses and advertising agencies enhance their presence in generative search results. With Google launching AI Overviews in May, search engine users can...