TunerLabs Editorial
Practical insights on AI engineering, LLM integration, AI agents, and enterprise AI strategy. Written by engineers who build production AI systems, not just write about them.
Not all AI consulting firms are equal. This buyer's guide breaks down what to look for, what to avoid, and which types of firms deliver the highest ROI for enterprise AI transformation projects.
AI agents are moving from research labs into production systems. This deep dive explains how autonomous AI agents work, where they deliver the highest ROI, and what organizations need to deploy them successfully.
A practical engineering guide to integrating large language models into enterprise applications. Covers architecture patterns, RAG vs fine-tuning, cost management, and production deployment considerations.
AI transformation is not only for large enterprises. This playbook gives small and mid-size businesses a practical framework for adopting AI effectively, affordably, and at the right pace.
The choice between retrieval-augmented generation and fine-tuning is one of the most consequential decisions in an LLM project. This guide explains both approaches with clear criteria for choosing the right one.
AI-powered workflow automation is delivering measurable cost reductions across industries. This article examines the highest-impact automation patterns and how to implement them without disrupting operations.
Should you build or buy AI? This guide provides a framework for deciding between custom AI development and off-the-shelf AI tools, with clear criteria based on your use case, budget, and competitive position.
Building an ML model is 10 percent of the work. Getting it to production reliably is the other 90 percent. This guide covers the engineering decisions that determine whether ML pipelines succeed at scale.
AI-first products are designed from the ground up with intelligence at their core. This guide explains how to approach product design, architecture, and development when AI is the primary value driver.
An honest assessment of generative AI business use cases: which applications are delivering real value, which are still experimental, and where organizations should focus their generative AI investments.
A practical framework for business leaders to build an AI transformation roadmap that delivers results, not just a strategy document. Covers use case prioritization, resource planning, and governance.
India, and Bengaluru in particular, is emerging as a global center for specialist AI engineering. This article examines the factors driving this development and what it means for organizations seeking AI transformation partners.
AI investments are difficult to measure but essential to justify. This guide provides a practical ROI framework for enterprise AI initiatives, covering measurement methodology, common pitfalls, and realistic expectations.
Choosing the right AI technology partner is one of the most important decisions in an AI transformation. These 10 questions will help you evaluate vendors, consultancies, and engineering firms before you commit.
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TunerLabs is a specialist AI engineering company based in Bengaluru, India. We design, build, and deploy production AI systems for businesses worldwide. Book a free AI strategy session with our team.