Tool Use in LLMs: How Function Calling Actually Works Under the Hood
A deep technical walkthrough of how large language models invoke external tools via function calling, covering token-level mechanics, schema injection, and reliability patterns.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A deep technical walkthrough of how large language models invoke external tools via function calling, covering token-level mechanics, schema injection, and reliability patterns.
Understand the five levels of AI agent autonomy, from human-in-the-loop copilots to fully autonomous decision-making systems, and how to choose the right level for your use case.
Complete guide to AI voice agent pricing models. Per-minute vs flat rate, hidden costs, and how to calculate total cost of ownership.
Side-by-side comparison of AI voice agents for it support & msps. Covers costs, savings, and implementation.
Compare the true cost of AI voice agents vs human receptionists for education businesses. Includes salary, benefits, training, and opportunity cost analysis.
Compare the true cost of AI voice agents vs human receptionists for hospitality businesses. Includes salary, benefits, training, and opportunity cost analysis.
Should you build a custom AI voice agent or buy a platform like CallSphere? Cost analysis, timeline comparison, and decision framework.
Side-by-side comparison of AI voice agents for logistics. Covers costs, savings, and implementation.
Compare the true cost of AI voice agents vs human receptionists for veterinary businesses. Includes salary, benefits, training, and opportunity cost analysis.
© 2026 CallSphere Inc. All rights reserved.
Made within San Francisco