In the current field of artificial intelligence, precise control over language models has become crucial for developers and data scientists. Anthropic's Claude language models provide users with numerous possibilities, but effectively managing token usage remains a challenge. To address this issue, Anthropic has launched a brand new token counting API aimed at providing deeper insights into token usage, thereby enhancing the efficiency and control of interactions with language models. Tokens play a role in language models.

Elon Musk's xAI has finally fulfilled its promise from August by officially launching the API interface for its flagship AI model, Grok. However, this long-awaited API version feels somewhat rushed and basic. Currently, the xAI API only offers a model named "grok-beta." In terms of pricing, input tokens are charged at $5 per million tokens (approximately 750,000 words), while output tokens are charged at $15 per million tokens.

Zhipu AI announced today that since being showcased at KDD 2024, its flagship language model GLM-4-Plus and the first dynamic video understanding model GLM-4V-Plus have received widespread recognition, achieving outstanding results on authoritative evaluation lists, breaking the monopoly of foreign models in the top three and positioning themselves at the international elite level.

iFlytek has announced a major upgrade to the Spark API platform. This upgrade includes the Spark Max model and the 4.0 Ultra model, which have improved generation speeds by 70%, while also achieving significant breakthroughs in key performance areas such as logical reasoning, creativity, and online search. The upgraded Spark Max and 4.0 Ultra models demonstrate faster speeds and greater accuracy in logical reasoning, especially in handling complex tasks, providing detailed reasoning processes.

Kimi Smart Assistant, a subsidiary of Beijing Yue's Dark Side Technology Co., Ltd., recently announced that its Kimi API now supports online search functionality. This marks a significant enhancement in the interactive experience, allowing users to retrieve information from the Internet via the API. This update to the Kimi API enables developers to leverage this feature, allowing applications to 'surf the web' by automatically performing online searches and providing answers when encountering questions during conversations.

NVIDIA has collaborated with several universities to introduce NVEagle, a large visual language model capable of chatting using images. NVEagle can analyze image content and provide accurate answers, such as identifying individuals in images, like Jensen Huang. The model significantly enhances the understanding of visual information by transforming images into visual tokens and combining them with text embeddings. In addressing the challenges of high-resolution image processing, the research team has constructed models like Eagle-X5-7B and Eagle-X by exploring various visual encoders and fusion strategies.

Magic, a startup focused on generative AI programming, has announced the completion of $320 million in funding, bringing its total financing to nearly $465 million. This round of funding was led by former Google CEO Eric Schmidt, with participation from several well-known investors. Magic's core technology, the Long-Term Memory Network (LTM), can handle vast amounts of data and avoid bias when generating code. Its latest model, LTM-2-mini, can process 100 million tokens, equivalent to 10 million lines of code or 750 novels. In partnership with Google Cloud, it plans to establish two '

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.

OpenAI has announced that third-party developers can fine-tune the newly introduced multimodal large model GPT-4o. This feature allows developers to adjust the model's behavior based on specific needs, such as changing the tone, following instructions, or improving the accuracy of technical tasks. Fine-tuning can achieve significant performance improvements with only a small amount of training data and is easy to operate. OpenAI is providing developers with a free allowance of 1 million tokens daily until September 23, as well as a daily free allowance of 2 million tokens for the GPT-4o mini model.

Zhipu AI announces that the LLM GLM-4-Long, which supports ultra-long context lengths, is now available on the open platform bigmodel.cn. This model is designed specifically for processing long texts and can read the equivalent of two copies of 'Dream of the Red Chamber' or 125 papers in one go. It is widely applied in scenarios such as translating long documents, global analysis of financial reports, extracting key information, and building chatbots with ultra-long memory.

Hugging Face and NVIDIA have launched an inference-as-a-service powered by NVIDIA's NIM technology, enhancing prototype development and efficient deployment of open-source AI models. This service notably supports robust models like Llama2 and Mistral AI, offering five times faster processing than traditional methods. Through NVIDIA DGX Cloud, developers can train models, and Hugging Face announced team profitability and expansion to 220 members, ....

OpenAI has announced the launch of GPT-4o mini, offering daily free fine-tuning with 2 million training tokens until September 23rd, aimed at advancing AI technology and fostering developer innovation. This model boasts performance on par with GPT-4o but is priced at only 1/20th of the latter, with significant advantages in training costs, context length, and intelligence levels. After the free period, services will continue to be offered at discounted rates. The fine-tuning capabilities of GPT-4o mini will be initially available to enterprise clients and specific developer tiers, with future expansion planned.

Recently, leading artificial intelligence company OpenAI announced the launch of fine-tuning capabilities for its new small-scale model, GPT-4o mini, aimed at enhancing the model's performance in specific application scenarios. This move will provide developers and enterprise users with more customized AI solutions. According to official OpenAI news, from today until September 23, users can fine-tune GPT-4o mini for free up to 2 million training tokens per day. Any excess will be charged at $3.0

Baidu Intelligent Cloud Qianfan announces the launch of a large model universal plan, allowing users to switch to the country's top large model platform at zero cost. Starting immediately, new registered enterprise users will receive: free access to the Wenxin flagship model for the first time, a 50 million Token package for the ERNIE 3.5 flagship model, and continuous free access to the main models ERNIE Speed, ERNIE Lite, and the lightweight model ERNIE Tiny.