Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn a practical decision framework for choosing between prompt engineering, retrieval-augmented generation, and fine-tuning based on cost, data requirements, latency, and use case complexity.
A hands-on tutorial for fine-tuning open-source LLMs using Hugging Face Transformers, PEFT, and TRL libraries, covering setup, training configuration, evaluation, and pushing to the Hugging Face Hub.
Implement full-text search for AI agent knowledge bases using PostgreSQL tsvector, trigram similarity, and GIN indexes with ranking, fuzzy matching, and hybrid search strategies.
The future of AI in 2026 is defined by agentic systems, multimodal models, and enterprise adoption. Discover key trends shaping business strategy through 2030.
World Economic Forum and Gartner jointly predict that AI agents will fundamentally reshape every knowledge worker's daily workflow within two years, transforming productivity and job roles.
An analysis of emerging patterns in agentic AI and the skills that will remain valuable as the field evolves, with practical advice on where to invest your learning time for long-term career resilience.
Learn how to fuzz test AI agents with automated input generation, boundary testing, adversarial inputs, and crash detection to discover failure modes before users do.
Explore how to leverage Gemini's massive 1 million token context window for analyzing entire codebases, processing full books, and building agents that reason over large document collections.
Master Gemini's function calling capabilities to build agents that use external tools. Learn tool definitions, function declarations, automatic execution, and multi-turn tool use patterns.
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