Llama-3.3-70B-Instruct
Tentang Llama-3.3-70B-Instruct
Llama 3.3 adalah model bahasa besar open-source multibahasa paling canggih dalam seri Llama, menawarkan kinerja sebanding dengan model 405B dengan biaya yang jauh lebih rendah. Dibangun di atas arsitektur Transformer, ini meningkatkan kegunaan dan keamanan melalui fine-tuning (SFT) terawasi dan pembelajaran penguatan dari umpan balik manusia (RLHF). Versi yang disetel instruksimya dioptimalkan untuk dialog multibahasa dan mengungguli banyak model Chat open-source dan tertutup di berbagai tolok ukur industri. Batas pengetahuan adalah Desember 2023.
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."
Metadata
Spesifikasi
Negara
Deprecated
Arsitektur
Terkalibrasi
Tidak
Campuran Ahli
Tidak
Total Parameter
70B
Parameter yang Diaktifkan
Penalaran
Tidak
Precision
FP8
Text panjang konteks
33K
Max Tokens
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