Best LLM Evaluations Newsletters in 2026

SubstackMonthly or less · last post Sep 10, 2026

I write about interesting new developments in AI.

Likely audience: AI researchers

SubstackWeekly · last post 17 days ago

From recent posts: A technology newsletter covering AI tool reviews, prompt engineering workflows, and personal agent experiments. Recent issues mix hands-on evaluations of Claude and Grok Bot with technical guides on slide design, LLM…

Likely audience: AI enthusiasts

SubstackWeekly · last post today

My personal public journal. Reflections on cutting-edge systems, career pivots, and the mindset of an engineer in the age of AI.

Likely audience: ML engineers

SubstackEvery two weeks · last post 17 days ago

From recent posts: Trelis Research publishes open-weight transcription models for specialized speech domains. Recent issues cover Tiron, a multi-speaker meeting transcription model with superior benchmark performance, and Whisper Hinglish…

Likely audience: ML engineers

SubstackEvery two weeks · last post 34 days ago

From recent posts: This publication delivers technical deep-dives into AI infrastructure, covering RAG evaluation metrics, LLM migration safety, and AI agent security architectures alongside practical Python development guides for FastAPI…

Likely audience: ML engineers

SubstackEvery two weeks · last post 17 days ago

From recent posts: Nava Labs Field Notes publishes technical articles on applying LLMs and multi-agent systems to public benefits administration, including SNAP eligibility, AI guardrails, and agent cost reduction. It is written for…

Likely audience: ML engineers

LinkedInEvery two weeks · last post 30 days ago

The What

Likely audience: ML engineers

LinkedInEvery two weeks · last post 25 days ago

Software trends, QA practices, and insights from an IT service company told through the experience lens.

Likely audience: QA engineers

SubstackEvery two weeks · last post 29 days ago

From recent posts: This article outlines the challenges of evaluating Large Language Model (LLM) systems, arguing that traditional deterministic testing is insufficient due to the probabilistic and semantic nature of AI outputs. It propos…

Likely audience: ML engineers

SubstackWeekly · last post 8 days ago

Intelligence Infrastructure for Biology

Likely audience: AI researchers

SubstackEvery two weeks · last post 10 days ago

From recent posts: The article argues that evaluating Large Language Models (LLMs) before building a demo is often counterproductive because it lacks concrete success criteria, leading to costly rebuilds later. It advocates for using 'spe…

Likely audience: ML engineers

SubstackWeekly · last post 9 days ago

From recent posts: The article series concludes by explaining how tracing, observability, and evaluations combine to build reliable AI coding workflows, emphasizing that system trust comes from debugging capabilities rather than individua…

Likely audience: AI engineers

LinkedInMonthly or less · last post 25 days ago

Content Marketing , Brand Strategy and Demand Gen in the era of AI

Likely audience: Marketing professionals

SubstackMonthly or less · last post 27 days ago

Tech Lead at Google Cloud AI, currently, focusing on Agent quality, evals and enterprise workflow automation. Sharing my experiences on everything SWE, AI engineering and agents.

Likely audience: ML engineers

SubstackMonthly or less · last post Sep 16, 2026

סיכום דו-שבועי של הדיונים הכי מעניינים מקבוצות הוואטסאפ של הקהילה. להצטרפות https://LangTalks.ai

Likely audience: DevOps Engineers

Substacklast post Jun 4, 2026

Learn how to build production AI systems including agents, RAG pipelines, and scalable LLM infrastructure

Likely audience: ML engineers

Substacklast post Mar 6, 2026

From recent posts: Marvelous MLOps Substack publishes practical tutorials and interview-based guides on machine learning operations, Python environment management, and LLM reliability for engineers building production AI systems. Content…

Likely audience: ML engineers

Substacklast post Sep 15, 2025

From recent posts: jonstokes.com publishes in-depth essays on Large Language Model theory, reasoning limits, and AI ethics, targeting developers, researchers, and tech enthusiasts. The site features technical analysis of benchmarking…

Likely audience: AI researchers

Substacklast post Aug 22, 2025

Cloud-computing insights, from up and down the tech stack, brought to you from Battery Ventures.

Likely audience: Enterprise IT leaders

Substacklast post Jul 22, 2025

I write about AI (well, LLMs mostly), founders' health, startup lessons, and send updates and announcements about Aggregate Intellect and AISC community. Book me to talk: https://calendly.com/amirfzpr

Likely audience: Product managers

Substacklast post Dec 26, 2022

Parcours en tant que femme dans la Tech | Newsletter bi-mensuelle

Likely audience: Data Science educators

Substacklast post Apr 12, 2026

Tech essays

Likely audience: Product managers

Substacklast post Apr 29, 2026

AI Guild insights and experiences for members and professionals.

Likely audience: Senior data scientists

Substacklast post May 13, 2026

From recent posts: This article investigates the reliability of LLM-as-judge evaluation methods by testing them against adversarial response pairs designed to trick models into rewarding surface features over genuine reasoning. The study…

Likely audience: AI researchers