A beginner-friendly guide for developers who want to actually understand the architectures they are buildingContinue reading on Towards AI »
A comprehensive, first-principles guide to Reinforcement Learning from Human Feedback — the three-stage pipeline that transformed raw…Continue reading on Medium »
LLM inference is often treated as a black box. Engineers observe input and output, but the internal mechanics determine both latency and…Continue reading on Medium »
Today I came across something called llmfit, and I genuinely liked how practical the idea is.Continue reading on Medium »
Meta researchers developed a structured prompting technique enabling large language models to verify code patches.Continue reading on Towards AI »
Practical guide to coordinating multi-agent workflows that generate accurate SQL for complex, multi-table queriesContinue reading on Medium »
Transformers have become the backbone of modern AI. They power the large language models we interact with daily and are even used in scientific problems like protein structure prediction.But there’s a subtle issue with them. Unlike older models such as…
A study published yesterday in Science should make every developer building with LLMs stop and re-examine their pipelines.Continue reading on Towards AI »
Pipeline 16 · Deployment and Inference PipelineContinue reading on Towards AI »
Pipeline 01 · Data Collection PipelineContinue reading on Towards AI »