Llama 3.3-FFM

Llama 3.3-FFM boasts excellent Traditional Chinese and foreign language capabilities, and comprehensively enhances its Tool Call capabilities, enabling simultaneous invocation of multiple external tools with significantly improved accuracy compared to the native model, helping enterprises build truly efficient AI Agents!

Llama 3.3-FFM

★ Excellent Traditional Chinese and multilingual processing capabilities ★
★ Highly accurate tool call capabilities, helping enterprises build efficient AI agents ★
★ Tool Call boasts an accuracy rate of up to 94% with %, offering comprehensive upgrades in efficiency, precision, and stability.★
★ Parallel Call enables seamless parallel processing, significantly improving accuracy compared to the native model. ★
★ Compatible with OpenAI API, enabling seamless model concatenation and conversion. ★

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Llama 3.3-FFM's Traditional Chinese language capabilities surpass GPT 4.0.

Tool Call achieves high accuracy, enabling the creation of efficient AI agents.

★ BFCL's Tool Call accuracy rate reaches 94% (%), ensuring accurate and correct tool calls. ★
★ Parallel Call enables seamless parallel processing, significantly improving accuracy compared to the native model. ★
★ Build AI Agents with Efficient Tool Calls, Creating Truly Automated AI Workflows ★

*This score is based on the BFCL test items, evaluating the accuracy of the openai-compatible tool-call JSON output.

Applicable Scenarios

Building AI-Automated Workflows

AI Agent precisely connects multiple tools, such as simultaneously calling the CRM system to update customer information, triggering email sending APIs, and generating transaction records in the database, compressing multiple steps that originally relied on human labor into an instant.

A leap in parallel processing capabilities

With improved accuracy of Parallel Tool Call, the system can simultaneously perform tasks such as multi-city weather queries, multi-user data processing, and simultaneous queries of different APIs, significantly reducing tool call and dialogue latency.

Improve user experience

Precise tool selection capabilities enable the model to automatically select the most appropriate tool based on the dialogue content, resulting in a smoother user experience and more natural interaction, especially in scenarios such as customer service or personal assistants.

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