Together AI Brings Continuous Compilation to Production Inference

🤖 AI/ML Daily Signal — Morning Edition 04 Nov 2026 · 09:32 UTC ──────────────────────────────── 🔥 1. MEMENTO: Learning Context Management for Long Context Processing Agents 🔬 arXiv cs.CL (Computation & Language / LLMs) · Score: 9/10 MEMENTO proposes learned context management strategies for LLM agents operating over long inputs, deciding what information to retain in fixed context windows. This is immediately applicable to production agents and addresses a fundamental scaling challenge. Read more → ⭐ 2. From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory 🔬 arXiv cs.CL (Computation & Language / LLMs) · Score: 8/10 Proposes converting retrieval-augmented generation results into parametric memory to eliminate the storage and inference overhead of traditional RAG. Highly relevant for practitioners optimizing production RAG pipelines. Read more → ⭐ 3. ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens 🔬 arXiv cs.CL (Computation & Language / LLMs) · Score: 8/10 ShiftRAG decouples learning from retrieval constraints using continuous soft tokens to suppress hallucinations during complex reasoning. Directly applicable to impr