At the 2024 Volcano Engine FORCE Power Conference in Winter, ByteDance also launched the Global AI Search on Volcano Engine. This service integrates contextual search recommendations, enterprise private domain information integration, and connected Q&A services, closely aligning enterprise information, business needs, and user demands to help businesses achieve more precise recommendations and broader information discovery.

During the 2024 Volcano Engine FORCE Power Conference · Winter, Volcano Engine announced a brand new upgrade of the Doubao Large Model family, showcasing its latest advancements in the field of artificial intelligence. The daily tokens usage of the Doubao Large Model has exceeded 4 trillion, reflecting an increase of over 33 times since its release in May, demonstrating its widespread application and rapid growth in the industry.

On December 18th, at the Volcano Engine FORCE Power Conference, Volcano Engine President Tan Dai unveiled the new Doubao Visual Understanding Model. This model processes both text and image-related information simultaneously, providing more accurate answers. The new model excels in content recognition, understanding, and reasoning capabilities, featuring more nuanced visual description abilities, which brings stronger intelligent processing capabilities to enterprise users. Tan Dai revealed at the conference that the Doubao Visual Understanding Model has achieved significant technological breakthroughs and has also seen a dramatic reduction in pricing.

Recently, as ByteDance's Doubao Large Model accelerates its commercialization process and shows impressive performance in the global AI sector, the "Doubao" concept stocks have become the new favorites in the capital market, leading to a new round of price increases in the AI track. Several listed companies, including Tianyu Shuke, Juran Smart Home, and Bee Assistant, have seen their stock prices hit the daily limit for multiple days in a row, with Tianyu Shuke achieving 6 consecutive limits in 10 days by Friday's close, Juran Smart Home hitting 5 limits in 6 days, and Bee Assistant reaching a peak of 20CM limit up during trading. This reflects the market's strong optimism about the Doubao Large Model and its ecosystem.

On December 12, Peking University and ByteDance officially announced the establishment of the Doubao Large Model System Software Joint Laboratory, marking a new milestone in the collaboration between industry, academia, and research in China's AI field. The research work of the joint laboratory will be based on the Doubao large model independently developed by ByteDance. Researchers from universities and enterprises will conduct in-depth research on key technologies such as model training and inference within the laboratory. With the construction and development of the laboratory, a large number of Peking University students will also enter the laboratory for internships, working side by side with industry researchers.

According to Guangzhou Daily, on December 6th, news that 'ByteDance lured away Alibaba's large model talent with an eight-figure salary' quickly sparked heated discussions on social media. Reports indicate that Zhou Chang, the former technical leader of Alibaba's 'Tongyi Qianwen' large model, announced his departure to start a new venture on July 18 this year, but just two months later, there are reports that Zhou has quietly joined ByteDance. This news has been confirmed by relevant personnel from ByteDance. It is reported that Zhou's move is not a solo endeavor; more than ten members of his team have also joined him at ByteDance.

The Intelligent AI Assistant Doubao, developed by ByteDance, has recently upgraded its text-to-image capabilities. The new feature allows users to generate images containing specified text with a single click. The relevant person in charge of the Doubao large model team pointed out that the text-to-image model of Doubao integrates LLM (Large Language Model) and DIT (Digital Image Technology) framework, optimizing its learning ability for Chinese data, and enhancing the generation capability of Chinese characters, significantly improving the generation results.

ByteDance recently released a new feature for the Doubao application - Image Understanding. The Doubao app and PC version have added photo and camera buttons, allowing users to upload images for content recognition. Doubao's image understanding capability goes beyond text recognition; it can also analyze image content and even understand and explain jokes.

The Haidian District People's Court in Beijing has officially accepted ByteDance's lawsuit against former intern Tian, accusing him of altering code to attack the company's internal model training. The company requests the court to order Tian to compensate for 8 million yuan in damages and 20,000 yuan in reasonable expenses, while also demanding a public apology.

Recently, researchers from ByteDance Research Institute and Tsinghua University jointly released a new study, pointing out that current AI video generation models, such as OpenAI's Sora, while capable of creating stunning visual effects, have significant flaws in understanding basic physical laws. This study has sparked widespread discussion on the capabilities of AI in simulating reality. The research team tested AI video generation models under three different scenarios: predictions under known patterns and predictions under unknown patterns.

ByteDance announced that its AI smart assistant Doubao PC has launched a new feature that allows users to easily edit images without the need for professional photo editing skills. Users can simply visit doubao.com, select 'Image Generation' to create an image, click 'Continue Editing', and enter simple instructions to complete the editing with one click. Additionally, users can upload images for further processing through the 'Reference Image' entry.

Large Language Models (LLMs) like GPT and Llama have sparked a revolution in the field of artificial intelligence, but efficiently training these massive models while aligning them with human values remains a challenge. Reinforcement Learning with Human Feedback (RLHF) has become an important training method for LLMs in recent years, but traditional RLHF frameworks have limitations in flexibility, efficiency, and scalability. To address these issues, the ByteDance Doubao Large Model Team has open-sourced an RLHF framework called HybridFlow.

ByteDance quietly enters the new battlefield of AI communities, drawing industry attention with its internally incubated AI platform, Lumi. Positioned as a community for sharing AI models, the platform is still in the whitelist testing phase, but its complete ecological layout is beginning to take shape. As an important part of ByteDance's strategy in the AI field, Lumi's core positioning is to create a comprehensive platform that integrates model sharing, workflow building, and model training. In the context of AI technology rapidly penetrating various industries, the emergence of this platform may provide developers and researchers with greater opportunities.

Recently, ByteDance quietly launched an AI model sharing community called 'Lumi'. The platform integrates various functions including model sharing, workflow building, and LoRA training, although it is currently still in the internal testing phase. Product entrance: https://top.aibase.com/tool/lumi. The core highlight of Lumi is its model sharing and management features, allowing users to easily upload their developed AI models.

On October 31, ByteDance quietly launched an AI model sharing community platform called 'Lumi'. The platform is reported to offer features such as model upload and sharing, workflow building, and LoRA training. It is currently in the internal testing phase and is only accessible to whitelisted users.