What is ERNIE 4.5
ERNIE 4.5 is the latest-generation first native multimodal large model officially released by Baidu, with significant improvements in multimodal understanding, text and logical reasoning, and outperforming GPT4.5 in multiple tests. The model is now available on Baidu Intelligent Cloud's Qianfan large model platform, and enterprise users and developers can call the API after logging in.
Main features of ERNIE 4.5
- Comprehensive understanding of multiple modalities: It can comprehensively understand multiple modal contents such as text, images, audio, and video, and achieve multimodal collaborative optimization. For example, it can understand complex content such as charts, memes, and satirical cartoons, and conduct accurate analysis and explanation.
- Enhanced multimodal fusion capability: Through multimodal heterogeneous expert expansion technology, it solves the problem of imbalanced gradients across different modalities and enhances multimodal fusion capability.
- Understanding capability: It understands language more accurately and can handle complex language logic and semantics.
- Generation capability: The generated text is more natural and fluent, with higher accuracy and creativity.
- Logical reasoning: It significantly improves logical reasoning capability and can better handle complex logical problems.
- Code capability: It supports code generation and explanation, and is suitable for scenarios such as programming assistance.
- Knowledge accuracy: Through knowledge-point-based large-scale data construction technology, it greatly reduces model hallucinations and improves knowledge accuracy.
- High emotional intelligence and cultural understanding: It can understand internet memes, cultural allusions, etc., showing "high emotional intelligence" and can explain in combination with cultural background.
Technical principles of ERNIE 4.5
- Multimodal fusion technology: ERNIE 4.5 achieves collaborative optimization through joint modeling of multiple modalities, and can comprehensively understand various contents such as text, images, audio, and video.
- FlashMask dynamic attention mask: It optimizes the model's attention mechanism and is more efficient when processing long texts and multi-turn interactions.
- Multimodal heterogeneous expert expansion technology: Combined with an adaptive modality-aware loss function, it solves the problem of imbalanced gradients across different modalities and improves multimodal fusion capability.
- Spatiotemporal representation compression technology: It efficiently compresses the semantic representations of images and videos in the spatiotemporal dimension, improving the model's efficiency in processing spatiotemporal information.
- Knowledge-point-based large-scale data construction technology: Based on knowledge-grading sampling, data compression and fusion, and targeted synthesis of scarce knowledge points, it constructs high-knowledge-density pre-training data, improves model learning efficiency, and reduces model hallucinations.
- Self-feedback-based post-training technology: A self-feedback iterative post-training technology that integrates multiple evaluation methods to improve the stability and robustness of reinforcement learning.
How to use ERNIE 4.5
- Individual users
- Use through the ERNIE Bot official website: ERNIE 4.5 has been launched on theERNIE Botofficial website, and individual users can directly visit the official website to experience it for free.
- Select model: Switch to select the ERNIE 4.5 model. After selecting it, use it by chatting with ERNIE Bot.
- Use via Baidu Search and the Wenxiaoyan APP：Baidu Search、Wenxiaoyan APPand other products will gradually integrate ERNIE 4.5, and after integration it can be used directly within the products.
- Enterprises and developers
- Use via the Baidu AI Cloud Qianfan Large Model Platform: ERNIE 4.5 is now available on the Baidu AI Cloud Qianfan Large Model Platform. Enterprises and developers can call the API after logging in. The specific integration process is as follows:
- Register an individual developer account: Visit the Baidu AI Cloud official website, select "Individual Real-Name Verification", enter the Qianfan console, and complete SMS verification registration. There is no need to bind enterprise information, and a student email can be used for verification.
- Obtain the API key: Register and log in to the Baidu AI Cloud Qianfan console, enter the console to create an application, and obtain the AppID, API Key, and Secret Key. After the application is created, select the corresponding authorized public cloud service. Use a Python script to implement token management with automatic refresh.
- Call the dialogue API: Call the relevant interfaces provided by Qianfan, such as ERNIE-Bot, etc. See the API list for details.
- Online debugging: Baidu AI Cloud Qianfan provides an API online debugging platform to help developers debug interfaces. The platform integrates functions such as quick search, viewing development documents, viewing the request content and return results of online calls, and copying and downloading sample code.
Model pricing for ERNIE 4.5
- Input: 0.004 yuan per thousand tokens.
- Output: 0.016 yuan per thousand tokens.
Application scenarios for ERNIE 4.5
- Educational tutoring: ERNIE 4.5 can provide students with personalized learning tutoring and Q&A services.
- Content creation: ERNIE 4.5 can help users quickly generate content such as copy, code, advertising slogans, images, and videos.
- Intelligent customer service system: Enterprises can use ERNIE 4.5 to build an intelligent customer service system, implement natural language question-answering functions, and improve service quality and the shopping experience.
- Financial sector: ERNIE 4.5 can help financial institutions conduct risk assessment and investment advice.