RLHF and DPO in Practice — Aligning Open-Source LLMs With Preference Data
Practical guide to RLHF and DPO alignment techniques for fine-tuning open-source LLMs with human preference data, reward modeling, and evaluation.
webcoderspeed.com
496 articles
Practical guide to RLHF and DPO alignment techniques for fine-tuning open-source LLMs with human preference data, reward modeling, and evaluation.
Drizzle ORM combines type safety with performance. Learn why teams switch from Prisma: smaller bundle size, edge compatibility, prepared statements, and 3x query speed.
Build production databases with Drizzle ORM. Learn schema design, migrations, complex queries, transactions, relations, performance optimization with prepared statements, and when to choose Drizzle over Prisma.
Your message queue delivers an event twice. Your consumer processes it twice. The order ships twice, the email sends twice, the payment charges twice. At-least-once delivery is a guarantee — not a bug. Here's how to build idempotent consumers that handle duplicate events safely.
What makes execution durable, Temporal workflows vs activities, automatic retry, long-running workflows, saga pattern, signals and queries, and comparison to BullMQ and Inngest.