Zhipu AI unveiled GLM-4 in Beijing, a new model addressing challenges in Large Language Models. It supports a 128k token context length, achieving nearly 100% accuracy with long inputs and introducing the GLM-4 All Tools for autonomous complex task execution. Its multimodal capabilities and versatility make it a competitive choice for businesses, challenging existing models like GPT-4.
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Zhipu AI Introduces GLM-4 Model: Next-Generation Foundation Model Comparable with GPT-4
A research team from Zhipu AI recently introduced the GLM-4 model, addressing challenges in the field of Large Language Models (LLMs). This model focuses on the need for improved context lengths, multimodal capabilities, and faster inference speeds.
Key Features of GLM-4
- Supports a context length of 128k tokens with almost 100% accuracy
- Introduces GLM-4 All Tools, an intelligent agent feature capable of autonomously understanding and executing complex instructions
- Facilitates interactions with web browsers, code interpreters, and multimodal text-generation models
- Handles a context window length of 128k tokens, equivalent to processing text spanning 300 pages with a single prompt
- Offers enhanced multimodal capabilities, including improved text-to-image generation and multimodal understanding
In conclusion, GLM-4 represents a significant advancement in the realm of large language models, effectively addressing limitations found in existing models. Its improved context length, multimodal capabilities, and intelligent agent features contribute to faster inference speeds, higher concurrency support, and reduced inference costs.
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