News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow The Information — AI news-outlet 5h ago How Anthropic Clinched $517 Billion in Compute Deals in 11 Months Anthropic in the last year has scrambled to line up cloud computing deals with SpaceX, Google and others to meet the skyrocketing demand for Claude Code and Cowork that took the company by surprise this year. As the AI powerhouse gears up for a possible record-setting initial… 19 r/LocalLLaMA community 11h ago vibeblending locally with Qwen 3.8 27B You need Blender 5.x with MCP extension. I use pi so I also need: pi install npm:pi-mcp-adapter and then: $ cat .mcp.json { "mcpServers": { "blender": { "command": "/home/jacek/.local/bin/uvx", "args": [ "--with", "mcp[cli]<2.0.0", "--from",… 19 r/LocalLLaMA community 1d ago Qwen3.8-27B beat the Wikipedia game in 6 clicks. Used qwen3.8-27b in Opencode to make this silly mini-game because I'm not sober: ``` We are going to play a game, it will be the Wikipedia game. The Wikipedia game has the following rules: You will have a Wikipedia article set as a starting point. You will have a Wikipedia… 22 r/LocalLLaMA community 1d ago Chalk one up for the frontier model... I just spent the last 2 hours of my life on a Friday night debugging a strange error in a prod CLI app. EF core was receive a readonlyspan during a Contains query. Normally, this query converted to a WHERE [col] IN (...) , but for some reason, after an update, it started… 9 arXiv — Machine Learning research 2d ago From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning arXiv:2609.02984v1 Announce Type: new Abstract: The conventional approach to machine learning, that is, collecting data, training models, and performing inference in a single location, faces fundamental limitations, including scalability and privacy, that restrict its… 24 arXiv — Machine Learning research 2d ago Federated Causal Discovery via Regression-Directed Cumulants arXiv:2609.03705v1 Announce Type: new Abstract: In this paper we study linear non-Gaussian acyclic models (LiNGAM) when used in federated environments. These causal models allow one to go beyond Markov equivalence. However, in many domains data are scarce, and increasing the… 25 arXiv — Machine Learning research 2d ago Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks arXiv:2609.02971v1 Announce Type: cross Abstract: As vehicular networks move toward 5G/6G edge intelligence, federated learning (FL) is widely promoted as a privacy-preserving way for vehicles and infrastructure to train shared models without exposing raw sensor data. Yet the… 22 arXiv — NLP / Computation & Language research 2d ago Distilled Rapid Embedding Transfer (DRET): Parameter-Efficient Biomedical Domain Adaptation via Priority-Based Embedding Transfer arXiv:2609.02898v1 Announce Type: new Abstract: Large domain-specific language models such as BioBERT and ClinicalBERT achieve strong performance on biomedical NLP tasks, but their computational demands make them impractical for many real-world deployments. General-purpose,… 14 arXiv — NLP / Computation & Language research 2d ago Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor arXiv:2609.03221v1 Announce Type: new Abstract: Counterfactual audits are the standard tool for checking whether a clinical agent treats demographically distinct but clinically identical patients differently. They report a flip rate: how often an action changes when only the… 24 arXiv — NLP / Computation & Language research 2d ago Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT arXiv:2609.03366v1 Announce Type: new Abstract: Accountability means a decision can be examined, justified, and contested. LLMs make this hard: fluent output may be ungrounded, incomplete, or unfaithful to the decision process. Achieving accountability requires verified… 33 OpenAI Python SDK releases dev-tools 3d ago v3.8.0 3.8.0 (2026-09-03) Features api: add gpt-6-astra and related features ( #3791 ) ( 09f446f ) Documentation add canonical SDK security model ( #3778 ) ( 2a097b9 ) 4 Hugging Face Daily Papers research 3d ago CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing Abstract CRISP improves long-context sparse attention by replacing indirect routing proxies with a direct structural metric and using a sink-aware threshold to eliminate background noise, achieving large speedups and better retrieval accuracy. Generated by… 26 arXiv — Machine Learning research 3d ago CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction arXiv:2609.01673v1 Announce Type: new Abstract: Activity-cliff ranking remains difficult because local structural changes can cause large activity differences, while high-quality data that resolve the underlying mechanisms remain limited. To use available activity labels more… 29 arXiv — NLP / Computation & Language research 3d ago CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing arXiv:2609.01925v1 Announce Type: cross Abstract: The attention prefilling phase of long-context LLM inference scales quadratically, making self-attention a severe computational bottleneck. Traditional sparse attention methods mitigate this through fixed patterns or offline… 18 arXiv — Machine Learning research 3d ago Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts arXiv:2609.02101v1 Announce Type: new Abstract: Federated learning (FL) lets institutions train a shared model without exchanging data, and Low-Rank Adaptation (LoRA) makes this practical at scale by communicating only compact low-rank updates. Biomedical imaging is a compelling… 11 arXiv — Machine Learning research 3d ago Similarity-Aware Personalized Federated Learning in Heterogeneous Environments arXiv:2609.02241v1 Announce Type: new Abstract: Federated Learning (FL) allows decentralized clients to train models collaboratively while preserving data privacy. However, distribution mismatch across clients often leads to poor global generalization and degraded local… 33 arXiv — Machine Learning research 3d ago Cliff: Learning Process Rewards from the First Mistake arXiv:2609.02817v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language model (LLM) post-training, but its reliance on coarse outcome rewards leads to limited guidance on intermediate reasoning… 32 arXiv — Machine Learning research 3d ago Pooling and Drift in Delayed Bandits arXiv:2609.01761v1 Announce Type: cross Abstract: A system often has to act long before it learns whether the act worked: a recommender sees a click in seconds and a purchase in days. With $K$ actions and a delay of $d$ rounds, the best rate known for this setting is… 30 arXiv — NLP / Computation & Language research 3d ago Interpretable Symptom Vectors for Depression in a Large Language Model arXiv:2609.01832v1 Announce Type: new Abstract: Patients with depression present with diverse symptom profiles, yet clinical practice routinely reduces this variation to a single severity score. Large language models (LLMs) can potentially capture various symptoms and their… 36 arXiv — NLP / Computation & Language research 3d ago Cite or Decline: A Strict Course-Grounded Chatbot for STEM Lecture Videos arXiv:2609.01846v1 Announce Type: new Abstract: Recorded lecture videos, often enhanced with search and summarization features, are a standard study resource. However, students cannot easily ask course specific questions or verify answers against an instructor's lecture. We… 37 arXiv — NLP / Computation & Language research 3d ago Improving Health Literacy through Lay Summarization of Radiological Reports: An Evaluation of BioNER and Retrieval-Augmented Generation arXiv:2609.02396v1 Announce Type: new Abstract: Radiology reports are written primarily for clinicians, and their specialized terminology often makes them difficult for patients to interpret. As a result, many patients turn to publicly available Large Language Models (LLMs) to… 26 arXiv — NLP / Computation & Language research 3d ago Predictors of Loneliness in Older Adults Using Multimodal Analysis of Speech and Language arXiv:2609.02606v1 Announce Type: new Abstract: Loneliness is a critical public health issue among older adults, linked to higher risks of depression, cognitive decline, and mortality. Scalable, objective methods for its detection remain limited, particularly in natural… 23 Hugging Face Daily Papers research 3d ago Cliff: Learning Process Rewards from the First Mistake Abstract Cliff improves reinforcement learning with verifiable rewards by using an off-the-shelf language model to detect the first reasoning error and shaping token-level advantages accordingly. Generated by thinkingmachines/Inkling-Small Reinforcement learning with verifiable… 23 llama.cpp releases dev-tools 3d ago b10771 mtmd: add mtmd_tokenize_from_parts() ( #28250 ) add mtmd_tokenize_from_parts use it in mtmd-cli move add_special to call level Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/44860492 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple… 22 The Information — AI news-outlet 3d ago Exclusive: Nscale Touts $100 Billion-Plus in Contracted Revenue After Anthropic Win Nscale is telling prospective investors it has about $103 billion of total contracted revenue after clinching a $45 billion computing deal with Anthropic, ahead of an initial public offering for the neocloud that could take place as soon as this month, according to documents… 25 GitHub Blog — AI & ML official-blog 3d ago Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my! From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations. The post Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my! appeared first on The GitHub Blog . 7 llama.cpp releases dev-tools 4d ago b10762 mtmd: support DeepSeek-V4-Flash-Vision-Exp ( #28133 ) mtmd: support DeepSeek-V4-Flash-Vision-Exp handle min/max token counts from CLI rm debugging use GGML_ROPE_TYPE_VISION nits apply review comments correct token count Website: https://llama.app Attestations:… 29 LangChain releases dev-tools 4d ago langchain==1.4.0a4 Initial release release(langchain): 1.4.0a4 test(langchain): cover mixed-era ClientGroup and group elicitation Update libs/langchain_v1/langchain/mcp/adapter.py fix(langchain): drive MCP elicitation via member session for fastmcp 4.0.1 fix(sdk): use latest fastmcp and rm… 33 arXiv — Machine Learning research 4d ago Group Adaptive Clipping Policy Optimization arXiv:2609.00444v1 Announce Type: new Abstract: Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a fixed importance-sampling (IS) ratio clipping boundary across all rollouts. We identify a key limitation: rare correct… 24 arXiv — Machine Learning research 4d ago CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning arXiv:2609.00446v1 Announce Type: new Abstract: Conventional federated learning (FL) relies on parameter averaging, which forces clients to be doubly homogeneous: it demands an identical architecture and degrades under non-IID data. Real-world deployments usually break both… 33 arXiv — Machine Learning research 4d ago Contribution-Aware Bandwidth Allocation for Multimodal Split Learning arXiv:2609.01406v1 Announce Type: new Abstract: Multimodal models are increasingly the default option for perception at the network edge, yet they are trained almost entirely in the datacenter, because a client holding several sensor streams cannot host an encoder per modality.… 24 arXiv — NLP / Computation & Language research 4d ago Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment arXiv:2609.00055v1 Announce Type: new Abstract: Self-supervised respiratory encoders lack semantic grounding in clinical domain needed for zero-shot inference, limiting their utility without task-specific labeled data. We propose a framework that aligns these encoders with… 33 arXiv — NLP / Computation & Language research 4d ago Life Operators: a self-evolving framework for multiscale life modelling arXiv:2609.00068v1 Announce Type: new Abstract: Medical AI is moving beyond recognition towards clinical dialogue and longitudinal prediction. Yet a central question remains: how would a patient's state change under intervention? Statistical models learn future observations,… 11 arXiv — NLP / Computation & Language research 4d ago NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings arXiv:2609.00256v1 Announce Type: new Abstract: LLM-based diagnostic systems achieve high semantic accuracy on benchmarks, but open-ended evaluation on clinically uncommon presentations reveals a systematic gap between headline accuracy and verifiable clinical reliability. We… 29 arXiv — NLP / Computation & Language research 4d ago Toward Workflow-Aware Benchmarking for Healthcare NLP Agents arXiv:2609.00296v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed for healthcare tasks such as clinical documentation, evidence retrieval, patient messaging, and care coordination. Yet many evaluations remain limited to static medical… 18 arXiv — NLP / Computation & Language research 4d ago A Unified Mechanistic Analysis of Knowledge- and Safety-Based Refusals arXiv:2609.00760v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly trained to decline queries that fall outside their knowledge (knowledge-based refusal, KR) or violate safety policies (safety-based refusal, SR). Although KR and SR result in… 4 arXiv — NLP / Computation & Language research 4d ago When Modality Gap Reduction Fails: Prediction-Level Hubness in CLIP arXiv:2609.01103v1 Announce Type: new Abstract: Reducing the modality gap between image and text representations in CLIP is widely expected to improve cross-modal alignment and downstream performance. However, a smaller average image-text gap does not necessarily lead to… 27 arXiv — NLP / Computation & Language research 4d ago ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues arXiv:2609.01111v1 Announce Type: new Abstract: Clinical LLM assistants must reason over multi-visit patient trajectories, yet whether the compact history representations used to scale them---retrieval, structured timelines, LLM summaries, agentic memory---preserve the… 35 arXiv — NLP / Computation & Language research 4d ago Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment arXiv:2609.01202v1 Announce Type: new Abstract: Clinical trials are essential for advancing cancer care and drug development, but many fail because of insufficient patient enrollment. While there is growing interest in using AI to support patient recruitment, existing systems… 4 LangChain releases dev-tools 5d ago langchain==1.4.0a3 Third alpha of the 1.4.0 line. This release focuses on the new langchain.mcp namespace for adapting MCP servers into LangChain tools. langchain.mcp highlights MCPAdapter adapts any target fastmcp.Client accepts — a URL, a local script, an in-process server, an MCPConfig naming… 36 TechCrunch — AI news-outlet 5d ago ChatGPT Health adds Epic integration for clinicians to import patient data OpenAI said that the integration provides read-only access to health records for clinicians. 34 Latent.Space news-outlet 5d ago PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features. 25 OpenAI official-blog 5d ago Healthcare organizations can now connect EHR and additional industry data to ChatGPT ChatGPT can now connect to trusted healthcare data, helping clinicians securely access patient context, medical research, and more. 12 arXiv — Machine Learning research 5d ago SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM Inference arXiv:2608.28911v1 Announce Type: new Abstract: The key-value (KV) cache is the dominant memory bottleneck of long-context large language model (LLM) inference, growing linearly with context length. We show that uniform KV quantization on a fractional-bit grid does not degrade… 11 arXiv — Machine Learning research 5d ago MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation arXiv:2608.29304v1 Announce Type: new Abstract: Translating electroencephalography (EEG) into functional magnetic resonance imaging (fMRI) is important for medical neuroimaging, clinical brain-state monitoring, and multimodal neural decoding, because it aims to infer spatially… 34 arXiv — Machine Learning research 5d ago Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD arXiv:2608.29419v1 Announce Type: new Abstract: Deep learning architectures are increasingly proposed for patient trajectory modeling in electronic health records (EHRs), yet their advantage over simpler, more interpretable models is rarely subjected to rigorous empirical… 25 arXiv — Machine Learning research 5d ago Learning Human Health and Diseases from 24-hour Wrist Movement arXiv:2608.29494v1 Announce Type: new Abstract: Much of human health and function unfolds beyond the clinic, through the movements of everyday life. Wrist-worn accelerometers capture these movements continuously, yet their rich signals are often reduced to a small set of… 25 arXiv — Machine Learning research 5d ago MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents arXiv:2608.29528v1 Announce Type: new Abstract: Longitudinal clinical agents must maintain an evolving patient state from evidence distributed across visits, time points, and specialties. However, how agent memory should be designed for this setting remains unclear. We introduce… 32 arXiv — Machine Learning research 5d ago GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis arXiv:2608.29755v1 Announce Type: new Abstract: Electroencephalography (EEG) is a promising, non-invasive, and cost-effective modality for Alzheimer's disease (AD) detection, but deep learning methods are limited by small and imbalanced clinical datasets. Generative augmentation… 35 arXiv — Machine Learning research 5d ago Designing for the Next Click: Bandits for Real-Time Page Layout arXiv:2608.29850v1 Announce Type: new Abstract: E-commerce platforms increasingly personalize user experiences through machine learning, yet page layout decisions remain dominated by static rules and manual curation. We present a scalable bandit-based system that optimizes… 15 Page 1 of 10 · 500 articles Older →
