RAG без магии: что действительно влияет на качество системы
У большинства разработчиков, не работающих с ИИ, ментальная модель RAG либо ошибочна, либо опасно неполна. И дело не в том, что они плохие инженеры,…
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Writing the code is no longer the bottleneck
The industry's currently obsessed with how fast we can generate code. Every morning in our engineering general channel on Microsoft Teams, someone's…
We Almost Deployed a Temporal Knowledge Graph. The Eval Said No.
The eval that killed the temporal knowledge graph asserted one thing: at time T, the agent should report the state that was true at T. It failed 41%…
Choosing the Right LLM-as-a-Judge: A Practical Guide with Model Recommendations
Choosing the Right LLM-as-a-Judge: A Practical Guide with Model Recommendations If you're building AI systems—whether RAG bots, generative models, o…
Your Golden Dataset Is Rotting: The Eval Oracle Nobody Re-Validates
We talk about agents drifting. We almost never talk about the thing we measure them against drifting. But your golden dataset — the fixtures, expect…
GuardRate: как мы построили независимую арену для guardrail-моделей (часть 1)
Всем привет, на связи команда HiveTrace! Мы уделяем много времени разработке собственных моделей и часто задаемся вопросом: "какой из двух гар…
I Built an Agent Evaluation Harness for Local AI — What Most People Get Wrong
I Built an Agent Evaluation Harness for Local AI — Here's What Most People Get Wrong DOYR | Not financial/legal/tax advice. For educational purposes…
How EvalPort's Grader System Works: 11 Types for LLM Evaluation
How EvalPort's Grader System Works When designing EvalPort, the grader system was the hardest part to get right. Every eval framework has its own wa…
Your New Eval Rule Is Untested Code Guarding Production
You wrote a new eval. It caught the failure you just saw in production. You shipped it as a gate. Congratulations — you now have a piece of untested…
Your Agent's Deadline Is a Correctness Test, Not an SLO
Ask an engineer to list their agent's failure modes and you'll hear about hallucinations, wrong tool calls, and bad JSON. Ask about time and you get…
OpenEval: Why LLM Evaluation Needs a Standard Format
Every LLM evaluation framework today invents its own test case format, its own grader definitions, and its own results schema. DeepEval, Promptfoo,…
502 на ingress, 302 в приложении: как я учил инфраструктурного LLM-агента не врать
Я делаю внутреннего read-only LLM-агента для инфраструктурных расследований. Инженер задаёт вопрос обычным языком, а агент собирает доказательства и…
An LLM judge is a biased instrument, not a measurement
Last month I shipped an eval that ranked two prompt variants. Variant A won by four points. A teammate reran the same eval the next morning and Vari…
The Cold-Start Problem for Agent Evals: What to Gate on Day One With Zero Labeled Data
You just shipped an agent. It works in the demo. Now someone asks the reasonable question: "How do we know it keeps working?" And you reach for eval…
Building AI Agents That Don't Hallucinate: Structured Workflows, Guardrails, and Per-Step Evaluation
Building AI Agents That Don't Hallucinate: Structured Workflows, Guardrails, and Per-Step Evaluation How we replaced fragile prompt chains with type…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92%…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from "semantic search + hope" to a measured,…