Tag: LLM

All the articles with the tag "LLM".

• Instruction Following: What Models Get Wrong and How to Fix It with Better Post-Training Data

  4 Mar, 2026 · 36 min read

  LLMs can write poetry and solve math, but ask them to 'respond in exactly 3 bullet points using only lowercase' and they stumble. This post dissects the taxonomy of instruction-following failures and provides a practical playbook for building post-training data that actually fixes them.

• Experience-Augmented In-Context Learning: A Training-Free Complement to RL Post-Training

  28 Feb, 2026 · 23 min read

  RL post-training makes models smarter, but it can't cover the infinite long tail of real-world cases. Experience-augmented ICL retrieves successful reasoning traces at inference time, letting agents learn continuously from real usage — no retraining required.

• Tool Selection Optimization for LLM Agents at Scale

  9 Jan, 2026 · 18 min read

  A deep technical dive into tool selection—retrieval strategies, context optimization, learned selection, and the engineering trade-offs that matter when scaling to hundreds of tools.

• Generative Engine Optimization (GEO): How to Get Your Product Cited by AI

  2 Jan, 2026 · 13 min read

  A comprehensive guide to Generative Engine Optimization—making your content retrievable, citable, and recommendable by large language models.

• Ad Formats in LLM Products: What's Live vs. What's Research

  1 Jan, 2026 · 7 min read

  A survey of advertising formats in LLM products—separating what's deployed in production from what remains in research.

• Adding Ads in LLM/Chatbot: Character Training for Monetization

  1 Jan, 2026 · 4 min read

  Exploring how to integrate ads in LLMs through character training—making recommendations genuinely helpful rather than annoyingly promotional.