A new PHP SDK, laya-php, wraps the Laya text-classification engine, letting PHP apps route tickets, flag churn risk, and score urgency without per-token LLM API fees. Decisions return as typed PHP values (enums, ints, bools) with confidence scores, run self-hosted in 100+ languages. A Laravel-ready SDK lowers the barrier for PHP teams to replace LLM-based classification with a cheaper, private alternative.
A research RAG prototype that parses supplied PDFs or a research question, proposes claims, aligns quoted passages against parsed text, and produces a cited draft. LLMs handle planning, extraction, and synthesis, while a separate layer called Laya makes bounded judgments (relevance, methodology, contradictions, answer verification). It targets researchers who need to inspect the exact passages behind every claim rather than trust opaque model outputs.
A research RAG prototype that parses supplied PDFs or a research question, proposes claims, aligns quoted passages against parsed text, and produces a cited draft. LLMs handle planning, extraction, and synthesis, while a separate layer called Laya makes bounded judgments (relevance, methodology, contradictions, answer verification). It targets researchers who need to inspect the exact passages behind every claim rather than trust opaque model outputs.
A developer released stuntd, an Apache-2.0 local proxy for typed LLM decisions (choice, yes/no, score) that records traffic from a provider like the hosted Jev API, trains a small head on the frozen open-weights Laya encoder, and serves answers locally with fallback to the provider below a confidence threshold. It matters to practitioners because it cuts ~380 ms paid round trips down to ~22 ms local inference on closed-decision tasks, with self-promotion and demotion based on agreement rates.
A developer released stuntd, an Apache-2.0 local proxy for typed LLM decisions (choice, yes/no, score) that records traffic from a provider like the hosted Jev API, trains a small head on the frozen open-weights Laya encoder, and serves answers locally with fallback to the provider below a confidence threshold. It matters to practitioners because it cuts ~380 ms paid round trips down to ~22 ms local inference on closed-decision tasks, with self-promotion and demotion based on agreement rates.
Jein is a hosted API service the developer built around the open Laya model after being unable to get a Jev account. Jev and Laya are decision models that return structured output with confidence levels per option, faster and smaller than LLMs. Jein exposes Jev-compatible endpoints so the Jev SDK works with it.
Jein is a hosted API service the developer built around the open Laya model after being unable to get a Jev account. Jev and Laya are decision models that return structured output with confidence levels per option, faster and smaller than LLMs. Jein exposes Jev-compatible endpoints so the Jev SDK works with it.
Laya: An Open-Source Jev Alternative Claiming 7x Faster Speed Under 1GB of RAM
Laya: An Open-Source Jev Alternative Claiming 7x Faster Speed Under 1GB of RAM