Framework Development Momentum
Sglang
AI Synthesis & Market Narrative
SGLang, an AI/LLM framework, is undergoing active development, marked by new integration adapters (Inferlab) and backend enhancements (MemKV context memory store). This indicates growing ecosystem support and refinement for advanced AI model deployment.
Correlated Linguistic Patterns
["inferlab-integration-sglang"
"Inferlab adapter integration for SGLang"
"memkv-sglang"
"sglang HiCacheStorage backend for the MemKV context memory store"]
Driving Media Context
Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash
We are expanding the Clef decision model family with Clef-omni, natively processing audio, video, images, and text in a single pipeline. We’ve also lowered C...
Security updates for Wednesday
Security updates have been issued by AlmaLinux (bind, dovecot, freerdp, kernel, mariadb-connector-c, mod_auth_openidc, nodejs22, nodejs:22, sudo, and vim), D...
inferlab-integration-sglang 0.12.0
Inferlab adapter integration for SGLang
inferlab-integration-sglang 0.12.1
Inferlab adapter integration for SGLang
memkv-sglang 1.0.9
sglang HiCacheStorage backend for the MemKV context memory store
memkv-sglang 1.0.11
sglang HiCacheStorage backend for the MemKV context memory store
strands-sglang 0.6.2
SGLang model provider of Strands Agents for on-policy agentic RL training.
Context Language Models
We introduce Context Language Models (CLMs), language models that natively manage their own context. We implement this by treating the context as a file and ...
sglang 0.5.21
SGLang is a fast serving framework for large language models and vision language models.
Uncensored and Offensive Security AI Models Benchmark
Uncensored AI models or those fine-tuned for cybersecurity tasks. - JoasASantos/Offensive-Security-AI-Models
SaaS Metrics