Tag: #evaluation
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 38 posts
Coding Benchmarks Are Misaligned with the Agent Era — Three Reasons Leaderboards Compare Agents Wrong
A position paper from a Tessl team, posted to arXiv in June 2026, argues that today's coding benchmarks are fundamentally misaligned with agentic software engineering. Benchmarks were built to measure a single model, yet
2026-07-11 · 5 min read #ai#agents#evaluation#software-engineering#coding-benchmarksAI Safety & Alignment 2026 Deep Dive - Constitutional AI · RLHF · DPO · GRPO · Mechanistic Interpretability · AISI Evals · Red Team
A single-shot map of AI safety and alignment as of 2026. Starts from conceptual roots like outer/inner alignment and mesa-optimization, walks through training-time alignment (RLHF, DPO, GRPO, Constitutional AI), frontier
2026-05-16 · 20 min read #ai-safety#ai-alignment#constitutional-ai#rlhf#dpoAI Safety, Evals and Red-Teaming in 2026 — Deep Dive into Inspect AI, Garak, PyRIT, Promptfoo, OpenAI Evals, lm-eval-harness
A single-page map of the 2026 AI safety, evaluation, and red-teaming ecosystem. Inspect AI (Anthropic, adopted by UK AISI), Garak (NVIDIA then independent), PyRIT (Microsoft), Promptfoo (YC), OpenAI Evals, lm-evaluation-
2026-05-16 · 22 min read #ai-safety#red-teaming#evaluation#inspect-ai#garakAI Engineering in Practice — LLM API, RAG, Agents, LoRA/DPO, Vector DB, Evaluation, Observability, Prompt Injection (2025)
The real difficulty of production LLM API calls, why RAG is not simple lookup, agent patterns (ReAct, Plan-Execute, ReWOO), when to and when NOT to fine-tune (LoRA, QLoRA, DPO), a vector DB decision matrix, why LLM evalu
2026-04-15 · 7 min read #ai-engineering#llm#rag#ai-agent#loraAdvanced RAG Pipeline Complete Guide 2025: Chunking Strategies, Re-ranking, Agentic RAG, Evaluation
Everything about Advanced RAG! Document chunking strategies (Semantic/Recursive/Agentic), re-ranking (Cohere/ColBERT/Cross-encoder), Query Transformation, Agentic RAG (Self-RAG/CRAG), Multi-modal RAG, Evaluation (RAGAS/T
2026-04-13 · 23 min read #rag#chunking#reranking#agentic-rag#evaluationOpenAI RFT with Custom Graders: A Practical Guide for Product and Platform Teams
A practical guide to OpenAI reinforcement fine-tuning with custom graders, including when to use it, how to prepare data, how to evaluate checkpoints, and how to roll it out safely.
2026-04-12 · 5 min read #ai-platform#openai#rft#reinforcement-fine-tuning#custom-gradersPydanticAI Practical Guide: Why Python Teams Adopt It for Production Agents in 2026
A practical guide to PydanticAI for teams that need Python-first agent systems, model portability, durable workflows, observability, and evaluation in production.
2026-04-12 · 6 min read #pydantic#pydantic-ai#python#ai-agent#mcpMastra Practical Guide: Why TypeScript Teams Adopt It for Production AI Agents in 2026
A practical guide to Mastra for TypeScript teams that need agents, memory, workflows, observability, evals, and production deployment in one open-source stack.
2026-04-12 · 6 min read #mastra#typescript#ai-agent#mcp#memoryOpenAI, Azure, and AWS: An Enterprise Agent Observability and Evals Comparison Guide
A practical comparison of agent observability, evaluations, dashboards, and OpenTelemetry integration across OpenAI, Azure, and AWS, with rollout guidance for platform, product, and infra teams.
2026-04-12 · 4 min read #openai#azure#aws#observability#evaluationBFCL Benchmark Complete Guide 2025: Tool Calling Evaluation, Leaderboard Analysis, Model Comparison
Everything about BFCL (Berkeley Function Calling Leaderboard)! Benchmark categories (Simple/Multiple/Parallel/Relevance/AST), evaluation metrics, model performance comparison (Claude/GPT/Gemini/Llama), running your own e
2026-03-25 · 22 min read #bfcl#benchmark#tool-calling#function-calling#evaluationComplete Guide to LLM Evaluation and Benchmarking: MMLU, MT-Bench, RAGAS, LM-Eval
A complete guide to evaluating LLMs correctly. Covers standard benchmarks such as MMLU, MT-Bench, and HumanEval, evaluating RAG systems with RAGAS, practical use of LM-Evaluation-Harness, and building production LLM eval
2026-03-17 · 17 min read #llm#evaluation#benchmark#ragas#lm-evalLLM Evaluation and Benchmarking Guide: Measuring What Actually Matters
A comprehensive guide to LLM evaluation and benchmarking. Covers standard academic benchmarks (MMLU, HELM, MT-Bench), production evaluation pipelines, LLM-as-judge, human evaluation, RAG evaluation, safety testing, and b
2026-03-17 · 18 min read #llm#evaluation#benchmark#mmlu#helmGemini API in Production: Prompting, Guardrails, Evaluation, and Cost Control
A production guide to building on the Gemini API with practical prompting, tool and schema design, safety handling, evaluation loops, and cost-aware operating patterns.
2026-03-17 · 4 min read #gemini#generative-ai#ai#llmops#prompt-engineeringAI Benchmark Datasets Complete Guide: ImageNet, COCO, GLUE, MMLU, HumanEval
A complete guide to key benchmark datasets for AI model evaluation. Detailed analysis of computer vision (ImageNet, COCO, ADE20K), NLP (GLUE, SuperGLUE, SQuAD, MMLU), code (HumanEval, MBPP), and LLM evaluation (HELM, MT-
2026-03-17 · 25 min read #benchmark#datasets#imagenet#coco#glueBuilding a Chatbot Evaluation Framework: LLM-as-Judge, RAGAS, and Automated Testing Pipelines
A comprehensive guide to building systematic quality evaluation for LLM-based chatbots. Covers RAG pipeline evaluation with RAGAS, LLM-as-Judge patterns, automated testing pipelines, and production monitoring.
2026-03-10 · 27 min read #chatbot#evaluation#ragas#llm-as-judge#testingRAG Quality Evaluation and Failure Pattern Analysis: Diagnosing and Improving Retrieval-Augmented Generation
A systematic guide to evaluating RAG (Retrieval-Augmented Generation) system quality and analyzing common failure patterns. Covers evaluation metrics for Retriever, Reranker, and Generator components, framework compariso
2026-03-07 · 15 min read #rag#llm#evaluation#ragas#deepevalLLM Evaluation Production Guide: From MMLU Benchmarks to Custom Evaluation Pipelines
A comprehensive guide to LLM evaluation covering major benchmarks like MMLU and HumanEval, building custom evaluation pipelines, statistical significance testing, automated CI/CD evaluation workflows, and production moni
2026-03-07 · 17 min read #llm#evaluation#benchmarks#mmlu#humanevalRAG Chatbot Evaluation in Practice: From Offline/Online Quality Measurement to Production Guardrails
Covers the evaluation system for reliably operating RAG chatbots in production. Addresses offline benchmarks, LLM-as-a-Judge, online experiments, alert thresholds, and regression prevention pipelines with code.
2026-03-04 · 16 min read #chatbot#rag#evaluation#llmops#production