https://cluster-site.onrender.com/tags/llm/ Recent content in LLM on Tenu Tech Brief Hugo -- 0.146.0 en-us Thu, 26 Feb 2026 06:03:06 +0000 https://cluster-site.onrender.com/posts/dualpath-breaking-the-storage-bandwidth-bottleneck-in-agentic-llm-inference/ Thu, 26 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/dualpath-breaking-the-storage-bandwidth-bottleneck-in-agentic-llm-inference/ • Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference View https://cluster-site.onrender.com/posts/msadm-large-language-model-llm-assisted-end-to-end-network-health-management-based-on-multi-scale-semanticization/ Thu, 26 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/msadm-large-language-model-llm-assisted-end-to-end-network-health-management-based-on-multi-scale-semanticization/ • Computer Science > Networking and Internet Architecture [Submitted on 12 Jun 2024 (v1), last revised 25 Feb 2026 (this version, v3)] Title:MSADM: Large Language Model (LLM) Assis https://cluster-site.onrender.com/posts/multi-layer-scheduling-for-moe-based-llm-reasoning/ Thu, 26 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/multi-layer-scheduling-for-moe-based-llm-reasoning/ • Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:Multi-Layer Scheduling for MoE-Based LLM Reasoning View PDF HTML (experimental)Ab https://cluster-site.onrender.com/posts/abd-default-exception-abduction-in-finite-first-order-worlds/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/abd-default-exception-abduction-in-finite-first-order-worlds/ • ABD benchmark tests default‑exception abduction in finite first‑order logical worlds. • Models generate sparse exception formulas to restore satisfiability under abnormality pred https://cluster-site.onrender.com/posts/biscale-energy-efficient-disaggregated-llm-serving-via-phase-aware-placement-and-dvfs/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/biscale-energy-efficient-disaggregated-llm-serving-via-phase-aware-placement-and-dvfs/ • Prefill/decode disaggregation improves latency-throughput tradeoff for large language model serving. • Energy consumption remains high; autoscaling is too coarse-grained for rapi https://cluster-site.onrender.com/posts/confspec-efficient-step-level-speculative-reasoning-via-confidence-gated-verification/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/confspec-efficient-step-level-speculative-reasoning-via-confidence-gated-verification/ • ConfSpec introduces confidence‑gated cascaded verification for step‑level speculative reasoning efficiently. • Small draft models quickly verify reasoning steps, accepting high‑c https://cluster-site.onrender.com/posts/early-evidence-of-vibe-proving-with-consumer-llms-a-case-study-on-spectral-region-characterization-with-chatgpt-5.2-thinking/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/early-evidence-of-vibe-proving-with-consumer-llms-a-case-study-on-spectral-region-characterization-with-chatgpt-5.2-thinking/ • LLMs increasingly used as scientific copilots, but research-level math evidence limited. • Case study uses ChatGPT-5.2 (Thinking) to resolve Conjecture 20 on spectral region of 4 https://cluster-site.onrender.com/posts/federated-reasoning-distillation-framework-with-model-learnability-aware-data-allocation/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/federated-reasoning-distillation-framework-with-model-learnability-aware-data-allocation/ • Addresses bidirectional model learnability gap in federated LLM-SLM reasoning collaboration. • Introduces LaDa framework with learnability-aware data filter for high-reward sampl https://cluster-site.onrender.com/posts/feedback-based-automated-verification-in-vibe-coding-of-cas-adaptation-built-on-constraint-logic/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/feedback-based-automated-verification-in-vibe-coding-of-cas-adaptation-built-on-constraint-logic/ • Leveraged generative LLMs to auto‑generate Adaptation Manager code for CAS systems. • Introduced vibe coding feedback loops to iteratively test and refine generated AMs. • Develo https://cluster-site.onrender.com/posts/fineref-fine-grained-error-reflection-and-correction-for-long-form-generation-with-citations/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/fineref-fine-grained-error-reflection-and-correction-for-long-form-generation-with-citations/ • FineRef introduces fine-grained error reflection for citation mismatch and irrelevance in long‑form LLM generation. • Two‑stage training: supervised fine‑tuning with attempt‑refl https://cluster-site.onrender.com/posts/from-help-to-helpful-a-hierarchical-assessment-of-llms-in-mental-e-health-applications/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/from-help-to-helpful-a-hierarchical-assessment-of-llms-in-mental-e-health-applications/ • Evaluated 11 LLMs generating six-word subject lines for German counselling emails. • Used hierarchical assessment: first categorize outputs, then rank within categories. • Nine a https://cluster-site.onrender.com/posts/llm-assisted-replication-for-quantitative-social-science/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/llm-assisted-replication-for-quantitative-social-science/ • Replication crisis threatens empirical research credibility, driven by high costs and low incentives for replication. • LLMs accelerate scientific output by automating writing, c https://cluster-site.onrender.com/posts/many-ai-analysts-one-dataset-navigating-the-agentic-data-science-multiverse/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/many-ai-analysts-one-dataset-navigating-the-agentic-data-science-multiverse/ • AI analysts replicate many‑analyst diversity at scale using large language models. • LLMs and prompt framing generate distinct analytic pipelines on the same dataset. • An AI aud https://cluster-site.onrender.com/posts/prompt-optimization-via-diffusion-language-models/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/prompt-optimization-via-diffusion-language-models/ • Diffusion-based framework refines system prompts via masked denoising in an iterative manner. • Conditions on interaction traces: user queries, model responses, and optional feed https://cluster-site.onrender.com/posts/reportlogic-evaluating-logical-quality-in-deep-research-reports/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/reportlogic-evaluating-logical-quality-in-deep-research-reports/ • LLMs increasingly synthesize research into structured reports, but logical reliability remains unassessed. • ReportLogic benchmark quantifies report‑level logical quality for dee https://cluster-site.onrender.com/posts/spilled-energy-in-large-language-models/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/spilled-energy-in-large-language-models/ • Reinterprets LLM softmax as Energy-Based Model, enabling energy tracking during decoding. • Introduces training‑free metrics: spilled energy and marginalized energy from logits. https://cluster-site.onrender.com/posts/the-convergence-of-schema-guided-dialogue-systems-and-the-model-context-protocol/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/the-convergence-of-schema-guided-dialogue-systems-and-the-model-context-protocol/ • Schema-Guided Dialogue (SGD) and Model Context Protocol (MCP) converge as unified deterministic LLM-agent frameworks. • Both rely on schemas to encode tool signatures, operationa https://cluster-site.onrender.com/posts/wanspec-leveraging-global-compute-capacity-for-llm-inference/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/wanspec-leveraging-global-compute-capacity-for-llm-inference/ • WANSpec leverages under‑utilized global data centers for LLM inference to reduce latency and cost. • Uses speculative decoding by moving draft model to low‑demand GPUs, cutting f https://cluster-site.onrender.com/posts/this-ai-can-improve-your-peer-review-and-make-it-more-polite/ Tue, 24 Feb 2026 00:39:27 +0000 https://cluster-site.onrender.com/posts/this-ai-can-improve-your-peer-review-and-make-it-more-polite/ • AI coach transforms peer reviews into more constructive, less toxic feedback. • Stanford researchers trained LLMs on curated reviews flagged as vague or unprofessional. • The Rev https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/ Tue, 24 Feb 2026 00:35:23 +0000 https://cluster-site.onrender.com/posts/when-large-language-models-are-reliable-for-judging-empathic-communication/ • LLMs generate empathic responses, but reliability of judging empathy remains unclear. • Study compares expert, crowdworker, and LLM annotations across four psychological framewor https://cluster-site.onrender.com/posts/beyond-a-single-extractor-re-thinking-html-to-text-extraction-for-llm-pretraining/ Tue, 24 Feb 2026 00:00:00 +0000 https://cluster-site.onrender.com/posts/beyond-a-single-extractor-re-thinking-html-to-text-extraction-for-llm-pretraining/ • Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining AuthorsJeffr https://cluster-site.onrender.com/posts/how-exposed-endpoints-increase-risk-across-llm-infrastructure/ Mon, 23 Feb 2026 11:58:00 +0000 https://cluster-site.onrender.com/posts/how-exposed-endpoints-increase-risk-across-llm-infrastructure/ • How Exposed Endpoints Increase Risk Across LLM Infrastructure As more organizations run their own Large Language Models (LLMs), they are also deploying more internal services and https://cluster-site.onrender.com/posts/ai-coach-improves-peer-review-tone/ Mon, 23 Feb 2026 10:25:58 +0000 https://cluster-site.onrender.com/posts/ai-coach-improves-peer-review-tone/ AI coach provides constructive feedback, turning vague reviews into detailed, actionable suggestions. The tool reduces unprofessional tone, eliminating personal attacks and factual https://cluster-site.onrender.com/posts/agentic-unlearning-when-llm-agent-meets-machine-unlearning/ Mon, 23 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/agentic-unlearning-when-llm-agent-meets-machine-unlearning/ • Computer Science > Machine Learning [Submitted on 6 Feb 2026] Title:Agentic Unlearning: When LLM Agent Meets Machine Unlearning View PDF HTML (experimental)Abstract:In this paper https://cluster-site.onrender.com/posts/ai-hallucination-from-students-perspective-a-thematic-analysis/ Mon, 23 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/ai-hallucination-from-students-perspective-a-thematic-analysis/ • Students rely on LLMs, hallucinations threaten learning accuracy. • Survey of 63 students revealed common hallucination types: fabricated citations, false facts, overconfidence. https://cluster-site.onrender.com/posts/assessing-llm-response-quality-in-the-context-of-technology-facilitated-abuse/ Mon, 23 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/assessing-llm-response-quality-in-the-context-of-technology-facilitated-abuse/ • Computer Science > Human-Computer Interaction [Submitted on 11 Jan 2026] Title:Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse View PDF HTML (experi https://cluster-site.onrender.com/posts/biobridge-bridging-proteins-and-language-for-enhanced-biological-reasoning-with-llms/ Mon, 23 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/biobridge-bridging-proteins-and-language-for-enhanced-biological-reasoning-with-llms/ • BioBridge fuses protein language models with general LLMs to enhance biological reasoning across diverse tasks. • Domain-Incremental Continual Pre‑Training (DICP) injects domain https://cluster-site.onrender.com/posts/codescaler-scaling-code-llm-training-and-test-time-inference-via-execution-free-reward-models/ Mon, 23 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/codescaler-scaling-code-llm-training-and-test-time-inference-via-execution-free-reward-models/ • Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models View PDF HTML ( https://cluster-site.onrender.com/posts/microsoft-removes-guide-on-how-to-train-llms-on-pirated-harry-potter-books/ Fri, 20 Feb 2026 12:11:28 +0000 https://cluster-site.onrender.com/posts/microsoft-removes-guide-on-how-to-train-llms-on-pirated-harry-potter-books/ • Microsoft removed blog post that promoted using pirated Harry Potter books to train LLMs. • Post was written by senior product manager Pooja Kamath, advocating dataset for genera https://cluster-site.onrender.com/posts/the-on-device-llm-revolution/ Fri, 20 Feb 2026 08:01:56 +0000 https://cluster-site.onrender.com/posts/the-on-device-llm-revolution/ • Why 3B to 30B models are moving to the edge - and what that means for silicon. • The AI world is experiencing a fundamental shift. • After years of cloud-centric inference domina https://cluster-site.onrender.com/posts/a-few-shot-llm-framework-for-extreme-day-classification-in-electricity-markets/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/a-few-shot-llm-framework-for-extreme-day-classification-in-electricity-markets/ • Computer Science > Machine Learning [Submitted on 17 Feb 2026] Title:A Few-Shot LLM Framework for Extreme Day Classification in Electricity Markets View PDF HTML (experimental)Ab https://cluster-site.onrender.com/posts/agentlab-benchmarking-llm-agents-against-long-horizon-attacks/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/agentlab-benchmarking-llm-agents-against-long-horizon-attacks/ • Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks View PDF HTML (experimental)Abstract:LL https://cluster-site.onrender.com/posts/deepcontext-stateful-real-time-detection-of-multi-turn-adversarial-intent-drift-in-llms/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/deepcontext-stateful-real-time-detection-of-multi-turn-adversarial-intent-drift-in-llms/ • DeepContext introduces stateful monitoring for LLM safety, tracking intent across turns. • Uses RNN to process fine‑tuned turn‑level embeddings, preserving conversation context. https://cluster-site.onrender.com/posts/guiding-llm-based-human-mobility-simulation-with-mobility-measures-from-shared-data/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/guiding-llm-based-human-mobility-simulation-with-mobility-measures-from-shared-data/ • M2LSimu introduces a mobility-measures guided framework for LLM-based human mobility simulation. • It coordinates individual agents using shared data, capturing emergent collecti https://cluster-site.onrender.com/posts/mind-the-gap-text-safety-does-not-transfer-to-tool-call-safety-in-llm-agents/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/mind-the-gap-text-safety-does-not-transfer-to-tool-call-safety-in-llm-agents/ • Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Mind the GAP: Text Safety Does Not Transfer to Tool-Call Safety in LLM Agents View PDF HTML (experimen https://cluster-site.onrender.com/posts/simple-baselines-are-competitive-with-code-evolution/ Fri, 20 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/simple-baselines-are-competitive-with-code-evolution/ • Code evolution uses LLMs to mutate code, yet lacks baseline comparisons. • Authors test two simple baselines across math bounds, agentic scaffolds, and ML contests. • Baselines m https://cluster-site.onrender.com/posts/rfc-tensalang-a-tensor-first-language-for-llm-inference-lowering-through-mlir-to-cpu/cuda/ Thu, 19 Feb 2026 22:24:46 +0000 https://cluster-site.onrender.com/posts/rfc-tensalang-a-tensor-first-language-for-llm-inference-lowering-through-mlir-to-cpu/cuda/ • Hello, I’ve been working on a project called TensaLang and it’s finally at a point worth sharing. • It’s a small language + compiler + runtime for writing LLM forward passes dire https://cluster-site.onrender.com/posts/how-your-llm-is-silently-hallucinating-company-revenue/ Thu, 19 Feb 2026 21:06:33 +0000 https://cluster-site.onrender.com/posts/how-your-llm-is-silently-hallucinating-company-revenue/ • We’re so glad you’re here. • You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game. • Check https://cluster-site.onrender.com/posts/the-perplexity-paradox-why-code-compresses-better-than-math-in-llm-prompts/ Thu, 19 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/the-perplexity-paradox-why-code-compresses-better-than-math-in-llm-prompts/ • Computer Science > Computation and Language [Submitted on 21 Jan 2026] Title:The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts View PDF HTML (experiment https://cluster-site.onrender.com/posts/improving-llm-reliability-through-hybrid-abstention-and-adaptive-detection/ Wed, 18 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/improving-llm-reliability-through-hybrid-abstention-and-adaptive-detection/ • Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving LLM Reliability through Hybrid Abstention and Adaptive Detection View PDF HTML (experimental https://cluster-site.onrender.com/posts/improving-llm-reliability-through-hybrid-abstention-and-adaptive-detection/ Wed, 18 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/improving-llm-reliability-through-hybrid-abstention-and-adaptive-detection/ • Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Improving LLM Reliability through Hybrid Abstention and Adaptive Detection View PDF HTML (experimental https://cluster-site.onrender.com/posts/protecting-language-models-against-unauthorized-distillation-through-trace-rewriting/ Wed, 18 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/protecting-language-models-against-unauthorized-distillation-through-trace-rewriting/ • Uses trace rewriting to deter unauthorized knowledge distillation from large language models. • Introduces anti-distillation techniques that degrade training usefulness while kee https://cluster-site.onrender.com/posts/quantifying-construct-validity-in-large-language-model-evaluations/ Wed, 18 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/quantifying-construct-validity-in-large-language-model-evaluations/ • LLM benchmarks often misrepresent true model capabilities due to contamination and annotator errors. • Construct validity is essential to ensure benchmarks truly measure desired https://cluster-site.onrender.com/posts/bruteforcing-accidental-antenna-designs/ Wed, 18 Feb 2026 03:00:45 +0000 https://cluster-site.onrender.com/posts/bruteforcing-accidental-antenna-designs/ • Antenna design often seen as black art, but brute-force GPU approach explored. • Janne, novice, used VNA and GPU-based FDTD to simulate and optimize antennas. • Leveraged LLMs to https://cluster-site.onrender.com/posts/crowdstrikes-agentic-security-powered-by-humanai-feedback-loop/ Tue, 17 Feb 2026 08:33:08 +0000 https://cluster-site.onrender.com/posts/crowdstrikes-agentic-security-powered-by-humanai-feedback-loop/ • CrowdStrike’s new Agentic Security framework blends human oversight with AI‑driven threat detection. • The system uses a continuous feedback loop where analysts refine AI models https://cluster-site.onrender.com/posts/botzonebench-scalable-llm-evaluation-via-graded-ai-anchors/ Tue, 17 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/botzonebench-scalable-llm-evaluation-via-graded-ai-anchors/ • Computer Science > Artificial Intelligence [Submitted on 22 Jan 2026] Title:BotzoneBench: Scalable LLM Evaluation via Graded AI Anchors View PDF HTML (experimental)Abstract:Large https://cluster-site.onrender.com/posts/botzonebench-scalable-llm-evaluation-via-graded-ai-anchors/ Tue, 17 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/botzonebench-scalable-llm-evaluation-via-graded-ai-anchors/ • Computer Science > Artificial Intelligence [Submitted on 22 Jan 2026] Title:BotzoneBench: Scalable LLM Evaluation via Graded AI Anchors View PDF HTML (experimental)Abstract:Large https://cluster-site.onrender.com/posts/temporalbench-a-benchmark-for-evaluating-llm-based-agents-on-contextual-and-event-informed-time-series-tasks/ Tue, 17 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/temporalbench-a-benchmark-for-evaluating-llm-based-agents-on-contextual-and-event-informed-time-series-tasks/ • TemporalBench offers a multi-domain benchmark for temporal reasoning in LLM agents. • Four-tier taxonomy tests historical structure, context-free, contextual, and event-condition https://cluster-site.onrender.com/posts/asynchronous-verified-semantic-caching-for-tiered-llm-architectures/ Mon, 16 Feb 2026 00:00:00 +0000 https://cluster-site.onrender.com/posts/asynchronous-verified-semantic-caching-for-tiered-llm-architectures/ • Asynchronous Verified Semantic Caching for Tiered LLM Architectures Asynchronous Verified Semantic Caching for Tiered LLM Architectures AuthorsAsmit Kumar Singh, Haozhe Wang, Lax https://cluster-site.onrender.com/posts/solving-context-size-issues-with-docker-model-runner/ Fri, 13 Feb 2026 13:57:36 +0000 https://cluster-site.onrender.com/posts/solving-context-size-issues-with-docker-model-runner/ • Context window limits hinder large language model usage. • Context packing packs multiple messages into single prompt. • Docker Model Runner supports context packing techniques. https://cluster-site.onrender.com/posts/automating-inference-optimizations-with-nvidia-tensorrt-llm-autodeploy/ Mon, 09 Feb 2026 18:30:00 +0000 https://cluster-site.onrender.com/posts/automating-inference-optimizations-with-nvidia-tensorrt-llm-autodeploy/ • NVIDIA TensorRT LLM enables developers to build high-performance inference engines for large language models (LLMs), but deploying a new architecture traditionally requires signi https://cluster-site.onrender.com/posts/a-one-prompt-attack-that-breaks-llm-safety-alignment/ Mon, 09 Feb 2026 17:12:11 +0000 https://cluster-site.onrender.com/posts/a-one-prompt-attack-that-breaks-llm-safety-alignment/ • Share Link copied to clipboard! • Content types Research Topics Actionable threat insights AI and agents Security management Large language models (LLMs) and diffusion models now https://cluster-site.onrender.com/posts/llm-inference-benchmarking-measure-what-matters/ Fri, 06 Feb 2026 14:46:06 +0000 https://cluster-site.onrender.com/posts/llm-inference-benchmarking-measure-what-matters/ • By Piyush Srivastava, Karnik Modi, Stephen Varela, and Rithish Ramesh Production-grade LLM inference is a complex systems challenge, requiring deep co-designs - from hardware pri https://cluster-site.onrender.com/posts/code-smells-for-ai-agents-qa-with-eno-reyes-of-factory/ Wed, 04 Feb 2026 15:00:00 +0000 https://cluster-site.onrender.com/posts/code-smells-for-ai-agents-qa-with-eno-reyes-of-factory/ • Factory builds autonomous coding agents for large engineering teams, covering full SDLC. • Their platform includes tools to assess code quality and agent impact. • Factory’s agen https://cluster-site.onrender.com/posts/unlocking-agentic-rl-training-for-gpt-oss-a-practical-retrospective/ Tue, 27 Jan 2026 01:53:15 +0000 https://cluster-site.onrender.com/posts/unlocking-agentic-rl-training-for-gpt-oss-a-practical-retrospective/ • Agentic RL extends LLM training beyond single-turn responses to full decision-making via environment interaction. • It collects on‑policy data, optimizing policies across multi‑s https://cluster-site.onrender.com/posts/clawdbot-with-docker-model-runner-a-private-personal-ai-assistant/ Mon, 26 Jan 2026 20:51:41 +0000 https://cluster-site.onrender.com/posts/clawdbot-with-docker-model-runner-a-private-personal-ai-assistant/ • Clawdbot + Docker Model Runner enables self-hosted, privacy-first personal AI assistants. • Integrates with Telegram, WhatsApp, Discord, Signal for proactive digital coworker. • https://cluster-site.onrender.com/posts/the-most-precious-resource/ Thu, 22 Jan 2026 16:57:18 +0000 https://cluster-site.onrender.com/posts/the-most-precious-resource/ • Sequoia invests in Kais Khimji as partner, valuing his work ethic, learning appetite, and EQ. • Kais transitions to founder, launching Blockit, an AI-driven time optimization app https://cluster-site.onrender.com/posts/the-next-frontier-of-runtime-assembly-attacks-leveraging-llms-to-generate-phishing-javascript-in-real-time/ Thu, 22 Jan 2026 11:00:22 +0000 https://cluster-site.onrender.com/posts/the-next-frontier-of-runtime-assembly-attacks-leveraging-llms-to-generate-phishing-javascript-in-real-time/ • Attackers embed a benign page that calls an LLM API to generate malicious JavaScript in real time. • Prompt engineering bypasses AI safety guardrails, producing polymorphic phish https://cluster-site.onrender.com/posts/differential-transformer-v2/ Tue, 20 Jan 2026 03:20:57 +0000 https://cluster-site.onrender.com/posts/differential-transformer-v2/ • DiffTransformer V2 doubles query heads, keeps KV heads constant for efficient attention. • Uses differential attention: subtracts paired heads within same GQA group. • Applies si https://cluster-site.onrender.com/posts/llm-flexibility-agent-mode-improvements-and-new-agentic-experiences-in-android-studio-otter-3-feature-drop/ Thu, 15 Jan 2026 17:18:00 +0000 https://cluster-site.onrender.com/posts/llm-flexibility-agent-mode-improvements-and-new-agentic-experiences-in-android-studio-otter-3-feature-drop/ • Posted by Sandhya Mohan, Senior Product Manager and Trevor Johns, Developer Relations Engineer We are excited to announce that Android Studio Otter 3 Feature Drop is now stable! https://cluster-site.onrender.com/posts/how-reddit-built-a-llm-guardrails-platform/ Mon, 08 Dec 2025 19:21:13 +0000 https://cluster-site.onrender.com/posts/how-reddit-built-a-llm-guardrails-platform/ • Written by Charan Akiri, with help from Dylan Raithel. • TL;DR We built a centralized LLM Guardrails Service at Reddit to detect & block malicious & unsafe inputs-including promp https://cluster-site.onrender.com/posts/breaking-through-the-noise-a-hybrid-ml-and-llm-framework-for-identifying-engaging-breaking-content-on-reddit/ Tue, 25 Nov 2025 16:26:25 +0000 https://cluster-site.onrender.com/posts/breaking-through-the-noise-a-hybrid-ml-and-llm-framework-for-identifying-engaging-breaking-content-on-reddit/ • Authors: Andrew Garrett, Md Mansurul Bhuiyan With 10s of thousands of new posts on Reddit each day, identifying content that is simultaneously timely, newsworthy, and engaging pr https://cluster-site.onrender.com/posts/spellvaults-evolution-beyond-llm-apps-towards-the-agentic-future/ Fri, 21 Nov 2025 00:00:10 +0000 https://cluster-site.onrender.com/posts/spellvaults-evolution-beyond-llm-apps-towards-the-agentic-future/ • SpellVault’s evolution: Beyond LLM apps, towards the agentic future Introduction At Grab, innovation isn’t just about building new features; it’s about evolving our platforms to https://cluster-site.onrender.com/posts/level-up-your-solidity-llm-tooling-with-slither-mcp/ Sat, 15 Nov 2025 12:00:00 +0000 https://cluster-site.onrender.com/posts/level-up-your-solidity-llm-tooling-with-slither-mcp/ • We’re releasingSlither-MCP, a new tool that augments LLMs with Slither’s unmatched static analysis engine. • Slither-MCP benefits virtually every use case for LLMs by exposing Sl https://cluster-site.onrender.com/posts/how-we-built-a-custom-vision-llm-to-improve-document-processing-at-grab/ Tue, 04 Nov 2025 00:00:10 +0000 https://cluster-site.onrender.com/posts/how-we-built-a-custom-vision-llm-to-improve-document-processing-at-grab/ • How we built a custom vision LLM to improve document processing at Grab Introduction In the world of digital services, accurate extraction of information from user-submitted docu https://cluster-site.onrender.com/posts/bringing-ai-aware-traffic-management-to-istio-gateway-api-inference-extension-support/ Mon, 28 Jul 2025 00:00:00 +0000 https://cluster-site.onrender.com/posts/bringing-ai-aware-traffic-management-to-istio-gateway-api-inference-extension-support/ • Istio now supports Gateway API Inference Extension, enabling model‑aware, LoRA‑aware routing for AI workloads. • AI inference requests can last seconds to minutes, making routing https://cluster-site.onrender.com/posts/defending-against-prompt-injection-with-structured-queries-struq-and-preference-optimization-secalign/ Fri, 11 Apr 2025 10:00:00 +0000 https://cluster-site.onrender.com/posts/defending-against-prompt-injection-with-structured-queries-struq-and-preference-optimization-secalign/ • LLMs power new apps but prompt injection is top OWASP threat. • Attack injects malicious instructions into untrusted data, overriding trusted prompts. • Real-world examples: Yelp https://cluster-site.onrender.com/posts/search-query-understanding-with-llms-from-ideation-to-production/ Tue, 04 Feb 2025 00:00:00 +0000 https://cluster-site.onrender.com/posts/search-query-understanding-with-llms-from-ideation-to-production/ • Yelp integrates LLMs to interpret search queries, improving intent detection for millions of daily searches. • The team tackled spelling correction, segmentation, canonicalizatio https://cluster-site.onrender.com/posts/virtual-personas-for-language-models-via-an-anthology-of-backstories/ Tue, 12 Nov 2024 09:00:00 +0000 https://cluster-site.onrender.com/posts/virtual-personas-for-language-models-via-an-anthology-of-backstories/ • Anthology conditions LLMs with detailed backstories to create consistent virtual personas. • Uses naturalistic life narratives to represent diverse human values and experiences. https://cluster-site.onrender.com/posts/how-to-evaluate-jailbreak-methods-a-case-study-with-the-strongreject-benchmark/ Wed, 28 Aug 2024 15:30:00 +0000 https://cluster-site.onrender.com/posts/how-to-evaluate-jailbreak-methods-a-case-study-with-the-strongreject-benchmark/ • Researchers tested jailbreak via Scots Gaelic translation, initially replicating 43% success claim. • GPT-4 responded with bomb instructions in Gaelic, but full output differed f https://cluster-site.onrender.com/posts/language-statistics-category-theory-part-1/ Wed, 07 Jul 2021 20:18:57 +0000 https://cluster-site.onrender.com/posts/language-statistics-category-theory-part-1/ • Authors propose a new preprint exploring math behind large language models. • Question: how to model transition from probability distributions on text to syntax and semantics. •