LLM post-training: methods and evaluation
A guide published on October 12, 2025, on adapting LLMs: from next-token prediction to instruction following, including training methods and evaluation.
Source: Um guia de post-training de LLMs (tokens-for-thoughts.notion.site). Text prepared with AI from this source.
What happened and what to do
Published on October 12, 2025, the guide covers the shift from next-token prediction to instruction following. Its scope includes data and objectives for SFT, RLHF, RLAIF, and RLVR, reward models, and evaluation frameworks; it presents post-training methods and topics for evaluating adapted models.
A company adapting LLMs can turn these topics into a controlled process: define tasks and evaluation criteria, organize datasets, compare model results, and track changes between versions. Implementation could include data and evaluation pipelines, APIs, and dashboards for monitoring quality and regressions.
How the consultancy can help
Wendelmaques can diagnose the adaptation and evaluation process, define an implementation scope, and build pipelines, APIs, and dashboards suited to the company’s infrastructure. Operation and ongoing improvements can be included in the project scope.
Next step
Send a short description of your LLM adaptation or evaluation case to receive a scoped proposal.
Consulting for your project
Infrastructure review, deployment and ongoing operations, with scope and pricing defined in the proposal.
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