Guides
3 min read2Nov 1, 2025
How to Switch from Lindy.ai to CallSphere: Migration Guide
Step-by-step guide to migrating from Lindy.ai to CallSphere. Covers data migration, number porting, integration setup, and go-live checklist.
Archive page 298 of 303
AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Agentic AI
6 min read4Nov 1, 2025
How to Create Synthetic Data for LLM Training with NeMo Curator: Pipelines and APIs
NeMo Curator provides GPU-accelerated synthetic data generation pipelines for LLM training. Learn the Open QA, Writing, Math, and Coding pipelines with practical examples.
Guides
3 min read3Oct 31, 2025
How to Connect AI Voice Agents with Pipedrive: Step-by-Step Guide
Step-by-step guide to integrating AI voice agents with Pipedrive. Covers setup, field mapping, sync rules, and best practices.
Agentic AI
6 min read5Oct 31, 2025
NeMo Curator Classifier Models: How Domain and Quality Classification Creates High-Quality Data Blends
NeMo Curator's Domain Classifier and Quality Classifier use GPU-accelerated RAPIDS to split LLM training data into balanced, high-quality blends at terabyte scale.
Guides
3 min read6Oct 29, 2025
The ROI of Never Missing a Phone Call: A Data Analysis
What happens when businesses answer 100% of calls? Data on revenue impact, customer satisfaction, and competitive advantage.
Guides
3 min read2Oct 29, 2025
How to Switch from Voiceflow to CallSphere: Migration Guide
Step-by-step guide to migrating from Voiceflow to CallSphere. Covers data migration, number porting, integration setup, and go-live checklist.
Agentic AI
6 min read5Oct 28, 2025
Why Data Curation for LLM Training Takes So Long: Text, Image, and Video Processing Bottlenecks
Traditional data curation pipelines for LLM training face critical bottlenecks in synthetic data generation, quality filtering, and semantic deduplication across text, image, and video modalities.
Agentic AI
5 min read1Oct 27, 2025
Quality Data Filtering vs Fuzzy Deduplication: The Critical Tradeoff in LLM Training
Learn how quality filtering and fuzzy deduplication create a tradeoff in LLM data curation, and how NeMo Curator uses GPU acceleration to handle both at scale.
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