정보에 대해서Llama-3.3-70B-Instruct
라마 3.3은 라마 시리즈의 가장 진보된 다국어 오픈 소스 대형 언어 모델로, 405B 모델과 비교할 수 있는 성능을 훨씬 낮은 비용으로 제공합니다. Transformer 아키텍처를 기반으로 구축되어, 감독된 Fine-tuning(SFT)과 인간 피드백을 통한 강화 학습(RLHF)을 통해 유용성과 안전성을 향상시킵니다. 그 지시 조정 버전은 다국어 대화에 최적화되어 다양한 산업 벤치마크에서 많은 오픈 소스 및 닫힌 Chat 모델보다 뛰어납니다. 지식 커트오프는 2023년 12월입니다.
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."
메타데이터
사양
주
Deprecated
건축
교정된
아니요
전문가의 혼합
아니요
총 매개변수
70B
활성화된 매개변수
추론
아니요
Precision
FP8
콘텍스트 길이
33K
Max Tokens
다른 모델과 비교
이 Model이 다른 것들과 어떻게 비교되는지 보세요.
