Fill-in-the-Middle (FIM)
fill-in-the-middle-fim--79707d66·2 events·first seen 28d agoAliases: Fill-in-the-Middle (FIM)
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Efficient Training of Language Models to Fill in the Middle
OpenAI published research on training language models with a fill-in-the-middle (FIM) objective, enabling models to complete text given both a prefix and a suffix context. The technique allows infilling capabilities to be added at essentially no cost to left-to-right generative performance. This work has direct implications for code completion and editing use cases, and was later incorporated into Codex and related models.
Mistral Announces Codestral 25.08 and Integrated Enterprise Coding Stack
Mistral AI has released Codestral 25.08, a code generation model update claiming +30% accepted completions, 50% fewer runaway generations, and improved FIM benchmark performance. The announcement also frames a full enterprise coding stack comprising Codestral (completion), Codestral Embed (code-specific retrieval), and Devstral (agentic workflows via OpenHands), all deployable on-prem or in VPC environments. Devstral Medium is reported to achieve 61.6% on SWE-Bench Verified, while Devstral Small (24B, Apache-2.0) reaches 53.6%. The pitch targets regulated industries blocked by SaaS-only competitors through self-hostable, air-gapped deployment options.