Posts

Building "Ask Seeking Alpha": How TensorOps and Seeking Alpha Connected Generative AI with Proprietary Data

How TensorOps built Seeking Alpha a multi-agent router and a "Grounded Autonomy" protocol that grounds GenAI on proprietary research data — minimizing hallucinations and keeping answers fresh.

LLM Mixture of Experts Explained

A 2026 field guide to Mixture of Experts: how it works, why GPT-4, DeepSeek, Llama 4, Qwen3, Mistral Large 3 and Kimi K2 all rely on it, plus Super Experts, routing strategies, and the systems trade-offs MoE forces on production teams.

How Do Sellers Set Floors in Programmatic Advertising Without Killing Win Rate?

A practical guide to setting per-request floor prices in Prebid + GAM without collapsing fill rate: where the trade-off actually lives, why static floors burn demand, and how session-aware FPO lifts revenue per request.

How to Train a Custom LLM for Your Business in 2026

The four-stage pipeline — domain-adaptive continued pre-training, LoRA SFT, online DPO, and rejection-sampled SFT — for turning a strong open base model into a domain-specialized LLM, with the hyperparameters and trade-offs that actually matter.

State of AI for Organizations

An opinion piece from TensorOps on what enterprise AI actually looks like in 2026 — three years after ChatGPT, what's working, what isn't, and where leaders should invest.

The GPT-4.1 Deprecation Forces Organizations to Change

The 2026 deprecation of OpenAI's GPT-4.1 forces a fundamental shift in enterprise AI. Learn how the transition to reasoning models impacts cost and latency, and explore viable alternatives like open-weights and AI model routers.

What Is Budget Pacing in Programmatic Advertising?

A practical guide to budget pacing in programmatic advertising — why greedy spend wrecks ROAS, how to separate forecasting from real-time control, and which algorithms (Prophet, PID, MPC, RL) actually run in production.

The LLM Specialization Showdown

Building a Data Analyst Agent with Google’s Agent Development Kit (ADK)

What Is Supply Path Optimization in Programmatic Advertising?

A practical guide to publisher-side SPO: why broadcasting every impression to every SSP stopped working, how to model SSPs as mixtures of latent campaigns, and where modern routing engines lift efficiency without leaking yield.

Beyond the Single Agent: Building a "Jira + Slack" for AI Swarms with LangGraph, Google A2A, and MCP

Stop building single agents. Learn how we built a "Jira" for AI swarms using LangGraph, Google A2A, and MCP to synchronize teams and scale complex ops.

What Is Floor Price Optimization in Programmatic Advertising?

A practical guide to dynamic floor pricing in first-price auctions: why it replaced waterfall logic, how Yahoo and TensorOps model it, and which ML approaches lift CPM without breaking demand.