LangChain to host livestream on Jev, a model claiming 200x faster, 400x cheaper inference
LangChain · x · 2026-09-19
LangChain is hosting a livestream next Tuesday with engineer Sydney Runkle discussing Jev, a new model from TypeSafe AI.
- Jev reportedly delivers up to 200x faster inference and 400x lower cost than comparable LLMs on classification tasks
- It targets the slow, costly decision-making inside agent loops
- The session covers how Jev makes fast structured decisions, where it fits in the agent loop, and how to build an evaluation harness around it
More from coding & agent
- TypeSafe AI's Jev claims 200x faster, 400x cheaper inference; LangChain ships integration and webinar — hwchase17 · 2026-09-19
- Developer: AI short-circuits the doubt phase, from idea straight to prompting — dfinke · 2026-09-19
- Codex agent burns user's weekly quota by fanning out 40 xhigh review sessions unsupervised — kevinnbass · 2026-09-19
- Getting Two AI Agents to Talk to Each Other: Voice-Loop Experiment Notes — Clear-Pear2267 · 2026-09-19
- Open-source Kev-0.5B: a tiny Qwen2.5-0.5B decision model you can train on a MacBook — sull · 2026-09-19
- Token-probability demo is live, evals and tuning to follow — michellechen · 2026-09-19