Meta recently announced the launch of the latest member of its Llama series - Llama3.370B. Meta's VP of Generative AI, Ahmad Al-Dahle, announced this on the X platform, noting that Llama3.370B has achieved significant improvements in performance compared to Meta's previous largest Llama model, Llama3.1405B, while significantly reducing costs. Al-Dahle stated that by leveraging the latest technology after training, Llama3.370B...

Google has released three experimental AI models from the Gemini 1.5 series, including the smaller variant Gemini 1.5 Flash-8B, which, despite its size, delivers outstanding performance and is suitable for lightweight AI applications. The more powerful Gemini 1.5 Pro model shows significant improvements in coding capabilities and the handling of complex prompts, making it ideal for users who require advanced AI assistance. The Gemini 1.5 Flash model has also been optimized for performance, demonstrating impressive results. These new models are now available for user testing on the AI Studio platform, with Google providing a smooth transition.

Google recently launched its latest AI model series, Gemini 1.5, which includes Gemini 1.5 Flash-8B, Gemini 1.5 Flash, and Gemini 1.5 Pro. These models are designed to handle long texts and large amounts of multimodal inputs such as documents, videos, and audio. Gemini 1.5 Flash is a lightweight version with 8 billion parameters, significantly enhancing performance and becoming the preferred choice for developers worldwide. Gemini 1.5 Pro excels in mathematics, coding, and handling complex prompts.

Google has launched the Gemini API's Gemini1.5Flash free plan, offering 1.5 billion free tokens every day, including 15 requests per minute, 1 million tokens per minute, and 1 million tokens per hour of context caching services, along with fully free tuning capabilities. This initiative aims to lower the barriers for developers to utilize AI technology, supporting the development of innovative applications. For small and medium-sized development teams, this will significantly reduce costs and provide convenience in R&D. This move is expected to attract more developers, driving growth.

Google announced a price cut for its fast AI model, Gemini 1.5 Flash, reducing input token costs to $0.075 per million tokens and output token costs to $0.30 per million tokens, representing a decrease of up to 78%. This move is highly beneficial for developers, particularly for scenarios such as summarization, classification, and multimodal understanding. The new API and AI studio from Google have enhanced PDF analysis capabilities, supporting the understanding of PDFs that include graphical and image content, and expanded language support to cover over 100 languages.