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.

The domestic artificial intelligence sector is witnessing new fluctuations as Zhipu AI announces a special migration plan for OpenAI API users, offering a massive token giveaway and comprehensive technical support to encourage developers to transition to its platform. This initiative not only showcases Zhipu AI's ambitions in the domestic AI market but also signifies potential changes in the global AI competitive landscape.

TiTok is a compact one-dimensional tokenizer that can represent 256×256 images with as few as 32 discrete tokens. As a result, it significantly accelerates the sampling process (for example, it is 410 times faster than DiT-XL/2) while achieving competitive generation quality.

["Grok token price skyrocketed about 13,000% within nine days of its launch, but faced scrutiny from blockchain investigators who questioned the developers' involvement in failed projects.","Grok community members denied the allegations, claiming it was an improper attack on the project and urged continued investment in the token.","Grok developers burned over $1.7 million worth of tokens to boost community member confidence.","Despite this, Grok's market value suffered a setback on Monday, evaporating nearly $100 million.","Some Grok believers still firmly believe it is the 'next Shiba Inu', hoping for its rise."

The market cap of the token inspired by Musk's Grok AI has surpassed $160 million, joining the speculative frenzy with a 13,000% increase. There are 11,000 token holders, and the trading volume has reached $25 million. The GROK-USD trading pair has only $3.5 million in available liquidity.

OneToken's xVal technology addresses the LLM digital encoding issue, enhancing efficiency and generalization performance. Released by nine institutions including the Iron Research Institute, it can encode all numbers. xVal uses multiplicative encoding, making LLM processing of numbers more continuous and smooth. Experiments show that xVal performs stably in tasks such as multi-digit multiplication. This technology can provide significant assistance for data analysis in the scientific field.

AI2 recently released an open source dataset named Dolma, which contains 3 trillion tokens. Dolma's data will serve as the foundation for AI2's developing Open Language Model OLMo, expected to launch in early 2024. The Dolma dataset comes from a wide range of sources, including web content, academic publications, code, and books, making it the largest publicly available dataset of its kind.