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Deva

Simplifying AI for everyone. Stay up to date with relevant models, frameworks, and more.

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Issues27Founded5 months agoLast Issue11 days ago
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Latest Issues

How LLMs Are Built: Pretraining, SFT and RLHF

A language model is not one training run. It is a pipeline of stages that produce different artefacts, and almost every confused argument about model behaviour comes from collapsing them together. The base model that finishes pretraining is...

11 days ago
4

DeepSeek V4.1 Flash 1017: The Flash Tier's Verbosity Tax

The flash tier stopped being a compromise this year. GLM 5.3 Flash, GPT-6 Luna, Claude Haiku 5.5, and now DeepSeek V4.1 Flash 1017 are all roughly frontier-adjacent small models at prices that used to buy nothing, and the interesting questi...

20 days ago
5

How to Use Jev in 2026

Most agent loops spend tokens explaining themselves before they do anything. The model reads a ticket, writes three paragraphs justifying a decision, emits it as JSON, and then a parser tries to recover the one value the application actuall...

a month ago
2

Routing Through Free-Tier LLM Providers Without Hitting a Wall

Understanding Free-Tier Rate Limits Across Providers

Engineers today rely on free-tier LLM endpoints to prototype quickly and keep costs low. Those tiers impose strict per‑minute or per‑hour quotas that can halt a pipeline when a single...

a month ago
5

Claude Sonnet 5.5 vs Opus 5.5: Cheaper Per Token, Same Per Task

Many teams look at the headline price per token when choosing between Claude Sonnet 5.5 and Opus 5.5, assuming the cheaper model will always reduce the bill. This view ignores how token consumption changes with model behavior. The real cost...

a month ago
4

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