News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow LangChain releases dev-tools 7d ago langchain-huggingface==1.2.3 Changes since langchain-huggingface==1.2.2 fix(huggingface): use a supported Scaleway model in streaming test ( #41095 ) chore(deps): bump langgraph-sdk from 0.4.4 to 0.4.6 in /libs/partners/huggingface ( #41098 ) chore(deps): bump langgraph-sdk from 0.4.2 to 0.4.4 in… 12 r/MachineLearning community 7d ago Uploaded 5.6 billion TikTok videos metadata on Hugging Face, spanning from 2014 to October 2026 [P] Dataset: https://huggingface.co/datasets/datasocial/tiktok-5.6B-videos If you want to explore the data without downloading billions of rows, you can query my ClickHouse database directly. It includes: Creators table - 4.5 billion rows Videos table - 5.6 billion rows Sounds table… 12 r/LocalLLaMA community 7d ago d1-3B and d1-omni from LiquidAI https://preview.redd.it/owhrvbbiu2uh1.png?width=4096&format=png&auto=webp&s=55d816753e7adee0e1391c9f581052b4bde44da7 d1-omni-600M d1-omni-600M is a 600M parameter decision model built on LFM2.5-Encoder-350M . You give it a state (text or JSON, with images or a voice clip) and a… 28 TechCrunch — AI news-outlet 7d ago Google’s new SynthID website can identify AI-generated media Google on Tuesday launched a new site that lets anyone verify whether a piece of media, be it an image, a video or an audio clip, is generated using AI. 13 arXiv — Machine Learning research 7d ago Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction arXiv:2610.07033v1 Announce Type: new Abstract: Predicting transient urban winds is fundamental to understanding urban microclimates and designing climate-resilient cities. Building-resolving large-eddy simulation produces detailed incompressible urban wind fields at substantial… 28 arXiv — Machine Learning research 7d ago Fed-BRDECS: Privacy-Preserving and Heterogeneity-Aware Federated Deep Embedded Clustering arXiv:2610.07399v1 Announce Type: new Abstract: Federated deep clustering seeks to learn clustering-friendly representations from decentralized unlabeled data while preserving client privacy. However, Deep Embedded Clustering (DEC)-style objectives depend on global… 21 arXiv — NLP / Computation & Language research 7d ago TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes arXiv:2610.07224v1 Announce Type: new Abstract: Clinical notes capture most of what is documented about a patient's care, but they cannot be used for research until protected health information (PHI) is removed. De-identification is often treated as a detection problem.… 33 arXiv — NLP / Computation & Language research 7d ago Closing Ambient Clinical Documentation Gaps with Automated Provider Queries arXiv:2610.07502v1 Announce Type: new Abstract: Provider queries are clarifying requests sent by clinical documentation specialists to physicians to close gaps in the clinical note and ensure accurate billing. Prior work automates note drafting, ICD-10 coding, and order… 14 arXiv — NLP / Computation & Language research 7d ago SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data Synthesis arXiv:2610.08093v1 Announce Type: new Abstract: Developing reliable models for clinical tasks, such as Medical Question Answering (QA), is severely constrained by the limited availability of high-quality, expert-annotated training data. This challenge is exacerbated by stringent… 6 arXiv — NLP / Computation & Language research 7d ago Incidental information contaminates patient notes and disrupts clinical reasoning in large language models arXiv:2610.08585v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. Here we examine the impact of a failure mode shared between these two applications by assessing their sensitivity to… 28 arXiv — NLP / Computation & Language research 7d ago Logbook: Extremely Long-form Audio Event Understanding arXiv:2610.07338v1 Announce Type: cross Abstract: Audio benchmarks are built around short, pre-segmented clips, limiting model design to brief inputs or fixed vocabularies. To close this gap, we introduce Logbook, a benchmark for hour-scale audio understanding, with recordings… 16 Hacker News — AI on Front Page community 7d ago Penguin Mail – open-source Rust email client for Linux with AI Article URL: https://penguin-mail.com/ Comments URL: https://news.ycombinator.com/item?id=49984716 Points: 201 # Comments: 128 6 r/LocalLLaMA community 8d ago I made a Chrome extension that filters your YouTube feed with a small local model running in the browser (WebGPU, no server) My YouTube feed was mostly songs, pranks and celebrity clips, so I built a filter that judges each video title with a small decision model running inside Chrome. Nothing is sent anywhere: no server, no API key, no account, and after one download it works offline. What it does -… 37 TechCrunch — AI news-outlet 9d ago TikTok rolls out an AI shopping assistant and one-click checkout TikTok describes its new Shopping Assistant as a conversational AI agent designed to help users discover and purchase products. 21 llama.cpp releases dev-tools 9d ago b11415: server: reject partial media truncation (#24076) server: reject partial media truncation server: keep only the keep_first fix Drop the mtmd test helper change, which no longer builds since clip_image_f32_batch stores its entries by value, and drop the vision test: no test fixture reaches a cut between two adjacent media chunks… 9 r/LocalLLaMA community 9d ago Ok how to actually learn vLLM ? Said in title, I find the ecosystem difficult to understand, and RTFMing doesn't help me as it's never clear what is the server vs their client library ? I'm using it for voxtral 3B on one GPU, but it's because I can run that with no quantization, I'm lost on learning to run… 18 arXiv — Machine Learning research 9d ago Inner Momentum for Differentially Private Muon arXiv:2610.02738v1 Announce Type: new Abstract: Differentially private training clips each per-example gradient before adding noise. This clipping is radial for each example, yet unequal clipping factors can distort the relative singular-vector geometry of their average. Muon is… 29 arXiv — Machine Learning research 9d ago A Two-Stage Cascade for Near-Real-Time Forest Anomaly Detection from Sentinel-1 SAR Time Series arXiv:2610.02763v1 Announce Type: new Abstract: Tropical forest monitoring is essential for global climate stability and biodiversity preservation. To address the urgent need for rapid, reliable detection of forest loss which is essential for timely intervention against illegal… 23 arXiv — NLP / Computation & Language research 9d ago Clinical Concept Centers in LLMs arXiv:2610.02829v1 Announce Type: new Abstract: Large language models are increasingly used in clinical settings. However, research into the reliability and performance of these models has focused almost entirely on the language substrate, scoring what the model says.… 7 arXiv — NLP / Computation & Language research 9d ago CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retrieval-Augmented Generation arXiv:2610.03421v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown strong visual reasoning abilities, but knowledge-intensive visual question answering often requires external textual evidence beyond the image and the model's parametric… 17 arXiv — NLP / Computation & Language research 9d ago Large language models exhibit unreliable updating of clinical judgment as patient evidence evolves arXiv:2610.02684v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly explored for clinical reasoning, but whether they appropriately revise judgments as patient evidence evolves remains unclear. We evaluated longitudinal belief updating using matched… 31 arXiv — NLP / Computation & Language research 9d ago FSPO: Policy-Consistent Risk and Pareto-Feasible Control for Budgeted LLM RL Post-Training arXiv:2610.02828v1 Announce Type: cross Abstract: Adaptive LLM reinforcement-learning post-training changes multiple training actuators online, including rollout temperature, group size, clipping, KL regularization, verifier allocation, and update budget. Three coupled issues… 13 Vercel — AI dev-tools 9d ago OpenAI Ultrafast mode now available on AI Gateway AI Gateway now supports OpenAI's Ultrafast service tier for GPT-6 Astra, providing faster output for interactive applications and rapid coding iterations. To use Ultrafast, request it for openai/gpt-6-astra through AI SDK, the Chat Completions API, or Responses API: For… 28 r/LocalLLaMA community 10d ago Built a quick, sub-15ms Rust CLI/TUI to pack repos into prompts without burning 40k tokens on lockfiles and junk Whenever I feed codebases into local models (Qwen, DeepSeek R1) or API models, the biggest annoyance is prompt pollution: - Lockfiles (`Cargo.lock`, `package-lock.json`) burning 30,000+ tokens for zero reason. - SVGs, binary files, or build artifacts slipping into the context. -… 32 r/LocalLLaMA community 10d ago Haha, I just love this AI stuff, recently got into it. I got my AI server all setup and shut it down to bring it to the basement to put it back into the server rack, when it came back up I went into my client app to put a test message in, love its response. :)… 4 TechCrunch — AI news-outlet 11d ago OpenAI safety employee resigns, claiming the company’s ‘culture is broken’ By his own admission, David Robinson is “something of a cliché”: an employee at a leading AI company who issues a dire warning while resigning from their job. 23 r/LocalLLaMA community 11d ago Come let your LLMs play World of Warcraft I hosted my own world of warcraft private server then built a client that you can play in the browser on PC or mobile at https://jankcraft.xyz/ for free. Afterwards, I created a custom MCP and agent harness to control the browser client and play the game by sending signals over… 15 arXiv — Machine Learning research 11d ago Generalized Biomedicine Discovery arXiv:2610.00120v1 Announce Type: new Abstract: In real-world clinical practice, medical images face open-world shifts: (i) long-tailed rare diseases, (ii) subtle lesions dominated by normal anatomy, and (iii) hierarchical taxonomies. Yet most open-world paradigms assume flat,… 17 arXiv — Machine Learning research 11d ago Energy Time-Series Imputation with Differentially Private Diffusion Models via Clipping-Aware Objective Conditioning arXiv:2610.00209v1 Announce Type: new Abstract: Reliable recovery of missing measurements is important for monitoring and analysis in energy time-series systems, where fine-grained measurements may contain sensitive temporal information. Diffusion models trained with… 17 arXiv — Machine Learning research 11d ago Coupling Perception and Reasoning in Federated Multimodal Graph Foundation Models arXiv:2610.00277v1 Announce Type: new Abstract: Federated multimodal graph foundation models (GFMs) aim to adapt pretrained multimodal models to decentralized graph data, where each client owns a private multimodal graph and cannot share raw information. These models typically… 20 arXiv — Machine Learning research 11d ago Fusion techniques of time frequency-based images to predict the outcome of rTMS depression therapy arXiv:2610.00380v1 Announce Type: new Abstract: Depression is a mental condition that can lead to suicide and self-harm. Predicting the outcome of depression treatment is one of the most difficult tasks for clinicians. Among various treatment options, repetitive Transcranial… 8 arXiv — Machine Learning research 11d ago Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps arXiv:2610.00391v1 Announce Type: new Abstract: Synthetic medical tabular data generation has become essential for developing and validating computer-based medical systems (CBMSs) when real clinical data is restricted due to privacy, ethical, or data availability limitations.… 35 arXiv — Machine Learning research 11d ago WIPSNet: Deep Learning for Paediatric Wheeze Detection from Overnight Impedance Pneumography arXiv:2610.00398v1 Announce Type: new Abstract: Overnight impedance pneumography (IP) is used to monitor paediatric respiratory health. Its current clinical readout, the Expiratory Variability Index (EVI), compresses each IP recording into a single scalar and achieves an AUC of… 27 arXiv — Machine Learning research 11d ago From Task Mixtures to Specialized Experts arXiv:2610.00580v1 Announce Type: new Abstract: In collaborative foundation model fine-tuning, client data is rarely homogeneous. Instead, clients typically possess unknown mixtures of distinct data distributions, or tasks. Conventional federated learning primarily addresses… 26 arXiv — Machine Learning research 12d ago EHR2Trace: Auditable EHR Data Infrastructure for Patient World Models and Clinical Agents arXiv:2609.38193v1 Announce Type: new Abstract: Patient world models and clinical agents aim to predict changes in patients' health and support clinical work. Developing these systems requires reliable histories of patient conditions, treatments, and the information available at… 5 arXiv — Machine Learning research 12d ago Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models arXiv:2609.38491v1 Announce Type: new Abstract: Clinical research in psychiatry increasingly relies on large scale collection of spoken language data to identify acoustic and linguistic biomarkers. Yet evolving consent and protocol requirements can oblige investigators to remove… 27 arXiv — Machine Learning research 12d ago Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP arXiv:2609.38517v1 Announce Type: new Abstract: Lower error from a text-conditioned neural surrogate does not, by itself, show that the model uses the meaning of the text. We examine this attribution problem with OperatorCLIP, comparing an unconditioned FNO, a constant-sentence… 28 arXiv — Machine Learning research 12d ago Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases arXiv:2609.38608v1 Announce Type: new Abstract: When can we learn from biased samples? We study regression when outcomes are observed only after passing through selection filters that depend on both covariates and outcomes themselves, a ubiquitous challenge spanning clinical… 28 arXiv — Machine Learning research 12d ago Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders arXiv:2609.38618v1 Announce Type: new Abstract: We study causal structure learning from observational data in linear Gaussian structural causal models in the presence of directed cycles and an unknown number of exogenous latent confounders, bounded by a given maximum. We derive… 38 arXiv — Machine Learning research 12d ago ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning arXiv:2609.38833v1 Announce Type: new Abstract: Federated continual learning must integrate new tasks over time without losing earlier-task knowledge. Most existing methods attach an anti-forgetting mechanism to the client-trained, server-aggregated loop of federated learning,… 27 Vercel — AI dev-tools 12d ago How Rogo ships agent-written code to production in 5 minutes on Vercel Rogo on Vercel 73,000+ deployments in a single month Agent-written code shipped to production in 5 minutes 6 production AI agents automating work from churn analysis to deal desk Zero manual triage during production incidents with agent swarms on AI SDK Rogo builds Felix, an AI… 37 arXiv — NLP / Computation & Language research 13d ago KlinikeBench: Evaluating Language Models Beyond Diagnostic Accuracy arXiv:2609.38480v1 Announce Type: new Abstract: Most clinical benchmarks evaluate language models (LMs) on diagnosis using complete case descriptions. In clinical practice, however, patients present information in different ways, and clinicians must obtain relevant history and… 4 arXiv — NLP / Computation & Language research 13d ago Personalized State-Transition-Aware Memory for Clinical Agents arXiv:2609.38490v1 Announce Type: new Abstract: Large language model (LLM) agents that reason over clinical records must track changes in a patient's state while preserving the history needed to understand them. Simply accumulating memories leaves it unclear which information… 11 arXiv — NLP / Computation & Language research 13d ago MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models arXiv:2609.38543v1 Announce Type: new Abstract: Constantly evolving real-world knowledge necessitates models to be updated continuously. Especially in medicine, as clinical evidence changes over time, outdated knowledge can pose safety risks. Existing evaluations of knowledge… 32 arXiv — NLP / Computation & Language research 13d ago When Clipping Reverses Correction: Failure Dynamics of Pointwise Forward-KL On-Policy Self-Distillation arXiv:2609.38995v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) trains a student on its own generated responses using feedback from the same model conditioned on privileged information. On mathematical reasoning, the original OPSD study finds that stylistic… 19 arXiv — NLP / Computation & Language research 13d ago Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity arXiv:2609.39049v1 Announce Type: new Abstract: A large language model (LLM) can rate depression severity directly from a social media post or mark which clinical criteria the post shows and let code turn the count into a label. The latter is easier to audit because a clinician… 30 arXiv — NLP / Computation & Language research 13d ago DAGent: Evaluate-then-Grow Planning for Deep Research Agents arXiv:2609.39154v1 Announce Type: new Abstract: Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings emerge. Directed acyclic graph (DAG)-based multi-agent systems suit this setting… 29 llama.cpp releases dev-tools 13d ago b11308 args: fix cli download mmproj arg ( #28977 ) tests: add tests for cli download arg parsing args: fix cli download mmproj arg Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/51664692 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple… 8 Anthropic SDK (Python) releases dev-tools 13d ago v1.11.0 1.11.0 (2026-09-30) Full Changelog: v1.10.0...v1.11.0 Features api: add list spend limits endpoint ( e8f0cac ) Chores client: deprecate sonnet 4.5 ( 22b36b1 ) 7 Vercel — AI dev-tools 14d ago AI Gateway adds Browserbase Search and Fetch tools Browserbase Search and Fetch are now available through AI Gateway . Give your models access to current information, find relevant pages, and retrieve their contents, alongside Browserbase's existing AI SDK and Vercel Marketplace integrations. AI Gateway lets you use… 22 Page 2 of 10 · 500 articles ← Newer Older →
