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Insights from Forte Group Thought Leaders

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Python code snippet demonstrating how a GPT-4-turbo model determines the next action in a conversational AI flow by selecting from predefined function schemas (search_products, get_product_details, clarify_request) based on user input and conversation history.

From Text to Action: A Critical Look at Function Calling with LLMs

2 min By Lucas Hendrich

IT Procurement Leaders: Here’s How to Speed Up Hiring

2 min By Aaron Rontal

Lee Barnes on Test Automation, AI, and QA Trends in 2025

3 min By Lee Barnes

How AI Agents Are Enhancing API Testing—If You Use Them Right

2 min By Vasyl Faifura

The Hidden Multipliers of AI: Anthropic’s Findings on Software Development Efficiency

2 min By Alex Lukashevich

The AI Investment Dilemma for Mid-Market Companies

3 min By Lucas Hendrich
Agent2Agent (A2A) vs. Model Context Protocol (MCP)

A2A vs. MCP: What CTOs Should Know About AI Agent Interoperability

3 min By Lucas Hendrich

Demystifying the Role of Delivery Managers: Driving Success Across Service Models

3 min By Egor Goryachkin

Vinay Kapoor Talks CPTO Reality, AI Strategy, and Tech Leadership at Scale

2 min By Forte Group

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