Telecom Specific Large Action Models
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ViNG for Enterprises
TSLAM-4B - Open source Version
- RTelecom-Specific
- RAction-Oriented
- R4B Parameters
- R128K Context Length
- RMin GPU: on laptops (4060 & above)
- RText only
- RMulti Lingual
- RRecommended GPUs A100
- R4 Bit Quantised
TSLAM-11B (private or public cloud) - Enterprise Version
- RTelecom-Specific
- RAction-Oriented
- R11B Parameters
- R128K Context Length
- R16Bit Quantised
- RMultimodal ( Pic + Text)
- RMulti Lingual
- RRecommended GPUs A100,H100
- RMin GPU: 4090 & above
Key Features
Network Troubleshooting and Diagnostics
Telecom Infrastructure Planning
Assists in the strategic capacity planning and infrastructure optimization.
Technical Documentation and Template Generation
Regulatory Compliance Assistance
Service Delivery/Activation
Customer Acquisition and Support Automation
Adherence of Telecom’s Best Practices
NetoAI’s intelligent knowledge graph (Digi Twin) is a game-changer. Their AI agents are empowering our teams to deliver exceptional service.
Top Resources for You
GSMA: Closing the AI Accuracy Gap: The Critical Role of Telecom Specific LLM
Generic AI falls short in telecom. Discover how a domain-specific language model (T-VEC) can make reliable AI possible in the Industry with 93% Accuracy
Everest: Telecommunications – Review of NetoAI’s TSLAM 1.5B Product Launch
TSLAM 1.5B is a telecom-specific Small Language Model (SLM) that provides a strong foundation for telecom service lifecycle automation, a domain-focused alternative to general-purpose LLMs and SLMs.
IndiaAI: A Groundbreaking Advancement in Telecom Industry
First-of-its-kind Large Action Model TSLAM 4B promises to revolutionise telecom operations, enabling faster diagnostics, smarter infrastructure planning, and more efficient customer service.