T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning

Documenti analoghi

• Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data
  di: Ethiraj, Vignesh, et al.
  Pubblicazione: (2025)
• Toward Low-Latency End-to-End Voice Agents for Telecommunications Using Streaming ASR, Quantized LLMs, and Real-Time TTS
  di: Ethiraj, Vignesh, et al.
  Pubblicazione: (2025)
• Graph-Symbolic Policy Enforcement and Control (G-SPEC): A Neuro-Symbolic Framework for Safe Agentic AI in 5G Autonomous Networks
  di: Vijay, Divya, et al.
  Pubblicazione: (2025)
• NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan
  di: Ferreres, Guillem Cadevall, et al.
  Pubblicazione: (2025)
• Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
  di: Anam, Rizal Khoirul
  Pubblicazione: (2025)