約Llama-3.3-70B-Instruct
Llama 3.3は、Leamerシリーズで最も高度な多言語オープンソースの大規模言語モデルで、405B Modelに匹敵する性能を大幅に低コストで提供します。Transformerアーキテクチャに基づいて構築されており、教師付きFine-tuning（SFT）と人間のフィードバックからの強化学習（RLHF）を介して有用性と安全性を強化しています。その指示に基づいたバージョンは多言語対話に最適化され、多くの業界ベンチマークで多くのオープンソースおよびクローズドChat Modelを凌駕しています。知識のカットオフは2023年12月です。
Explore how DeepSeek-V3's advanced reasoning and coding capabilities translate into real-world applications.
Automated Code Generation & Debugging
Generate, optimize, and debug complex code snippets across various programming languages. The model's strong reasoning helps identify logical errors and suggest efficient solutions.
Use Case Example:
"A software engineer used DeepSeek-V3 to refactor a legacy Python module, resulting in a 40% reduction in code complexity and a 25% improvement in execution speed."
Scientific & Mathematical Research
Assist researchers by solving complex mathematical problems, formulating hypotheses, and analyzing data. Its ability to reason through abstract concepts makes it a powerful tool for scientific discovery.
Use Case Example:
"A physicist modeled a complex quantum mechanics problem, and the model provided a step-by-step derivation that led to a novel insight, which was later verified experimentally."
Intelligent Agent & Tool Integration
Build sophisticated AI agents that can understand user requests, select the appropriate tools (e.g., APIs, databases), and execute multi-step tasks autonomously.
Use Case Example:
"An automated travel assistant powered by DeepSeek-V3 booked a complete itinerary by interacting with flight, hotel, and car rental APIs based on a single natural language request from the user."
Advanced Conversational AI
Create highly engaging and context-aware chatbots, virtual assistants, or role-playing characters for gaming and entertainment. The model excels at maintaining coherent and natural-sounding dialogue.
Use Case Example:
"A gaming company implemented an NPC (Non-Player Character) using the model, which provided dynamic, unscripted interactions that significantly enhanced player immersion."
メタデータ
仕様
州
Deprecated
建築
キャリブレートされた
いいえ
専門家の混合
いいえ
合計パラメータ
70B
アクティブ化されたパラメータ
推論
いいえ
Precision
FP8
コンテキスト長
33K
Max Tokens
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