NetoAI Launched TSLAM-4B: Revolutionising Telecom with Unparalleled Insights and Automation

London, United Kingdom Nov 17, 2024 (EMWNews.com) – NetoAI has launched TSLAM-4B, the industry’s first telecom-specific Large Language Model (LLM), revolutionising telecom with this new AI model. This new model is designed to improve telecom operations, planning, and customer service.

TSLAM-4B has 4 billion parameters, making it powerful and precise. It uses telecom-specific data to provide accurate insights and handle complex conversations. With a context length of 128K tokens, TSLAM-4B can process extensive and detailed information, enabling it to manage intricate telecom tasks. The model operates efficiently with minimal computational power, making it a sustainable option for telecom companies.

“We are thrilled to introduce TSLAM-4B, a game-changer in the telecom industry,” said Ravi Kumar Palepu, CEO of NetoAI. “Our team has worked tirelessly to develop a model that not only addresses the unique challenges of telecom operations but also sets a new standard for efficiency and performance.”

The versatility of TSLAM-4B, enhanced by 4-bit quantization, makes it suitable for a wide range of applications within the telecom industry. These include network troubleshooting and diagnostics, where it rapidly identifies and resolves network issues; customer support automation, enhancing customer service through automated support systems; telecom infrastructure planning, assisting in strategic planning and optimization; regulatory compliance assistance, ensuring adherence to standards; and technical documentation generation, automating the creation of detailed documentation.

“By leveraging TSLAM-4B, telecom companies can achieve unprecedented levels of efficiency and accuracy,” added Vignesh Ethiraj, CTO at NetoAI. “We are excited to see how our model will transform the industry and drive significant advancements.”

TSLAM-4B outperforms other models with similar parameters and even matches or beats much larger models in telecom-specific scenarios. In addition to developing an LLM for the telecom domain, NetoAI aims to make meaningful contributions to the wider research community. NetoAI has made significant efforts to enhance TSLAM-4B’s responses by incorporating more domain-specific data and telecom usecase specific fine-tuning to enhance function calling abilities in their enterprise version, TSLAM-11B. This upgraded version supports text, speech, and image input. A key feature of TSLAM-11B is its implementation of 16-bit quantization, which maintains high performance levels while reducing computational demands.

NetoAI has made TSLAM-4B available as an open-source model on Hugging Face, encouraging innovation and collaboration. For businesses, TSLAM-11B is integrated with NetoAI’s AI-powered platform, ViNG. This allows telecom operators to create AI agents via a low code interface to enhance processes like customer support, sales, fault prediction, and troubleshooting. The model supports multiple languages, ensuring wide applicability across different regions and customer bases.

Contact NetoAI to learn how TSLAM-4B and ViNG can transform your telecom operations.

Ravi : [email protected]

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Visit our website: www.netoai.ai