LIVE · 05/08
local-llmRELOllama Releases v0.30.0-rc7Ollama Releases v0.30.0-rc7[ollama-releases]local-llmRELOllama Releases v0.30.0-rc5Ollama Releases v0.30.0-rc5[ollama-releases]local-llmRELOllama Releases v0.23.2-rc0Ollama Releases v0.23.2-rc0[ollama-releases]researchPACZero: PAC-Private Fine-Tuning of Language Models via Sign QuantizationPACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization[arxiv-cs-lg]researchPianoCoRe: Combined and Refined Piano MIDI DatasetPianoCoRe: Combined and Refined Piano MIDI Dataset[arxiv-cs-lg]researchHow to make the most of your masked language model for protein engineeringHow to make the most of your masked language model for protein engineering[arxiv-cs-lg]geminiBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyond[google-developers]geminiGet ready for Google I/O: Livestream schedule revealedGet ready for Google I/O: Livestream schedule revealed[google-developers]geminiAnnouncing ADK for Java 1.0.0: Building the Future of AI Agents in JavaAnnouncing ADK for Java 1.0.0: Building the Future of AI Agents in Java[google-developers]tech-newsMetaがカナダのオンラインニュース法案C-22に反対表明Meta’s Position on Canada’s Bill C-22[meta-newsroom]local-llmRELOllama v0.23.2 リリース、ローカルLLM実行環境の小幅アップデートOllama Releases v0.23.2[ollama-releases]local-llmRELOllama、v0.30.0-rc6リリース候補版を公開Ollama Releases v0.30.0-rc6[ollama-releases]researchAre Flat Minima an Illusion?Are Flat Minima an Illusion?[arxiv-cs-lg]researchNationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified ModelsNationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models[arxiv-cs-lg]researchSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement GuaranteesSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees[arxiv-cs-lg]researchPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer LearningPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning[arxiv-cs-lg]researchHorizon-Constrained Rashomon Sets for Chaotic ForecastingHorizon-Constrained Rashomon Sets for Chaotic Forecasting[arxiv-cs-lg]researchSparse Prefix Caching for Hybrid and Recurrent LLM ServingSparse Prefix Caching for Hybrid and Recurrent LLM Serving[arxiv-cs-lg]researchMidSteer: Optimal Affine Framework for Steering Generative ModelsMidSteer: Optimal Affine Framework for Steering Generative Models[arxiv-cs-lg]researchData-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis DiscoveryData-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery[arxiv-cs-lg]researchAdaptive Computation Depth via Learned Token Routing in TransformersAdaptive Computation Depth via Learned Token Routing in Transformers[arxiv-cs-lg]researchStructural Instability of Feature CompositionStructural Instability of Feature Composition[arxiv-cs-lg]researchChannel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training ParadigmsChannel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms[arxiv-cs-lg]researchMACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE InferenceMACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference[arxiv-cs-lg]
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主要な更新 Top stories 05/08 · 10 件
  1. 01 local-llm REL +4 Ollama Releases v0.30.0-rc7 Ollama Releases v0.30.0-rc7 disable openmp [ollama-releases]
  2. 02 research PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization arXiv:2605.06505v1 Announce Type: new Abstract: We introduce PACZero, a family of PAC-private zeroth-order mechanisms for fine-tuning large language models that delivers usable utility at $I(S^*; Y_{1 [arxiv-cs-lg]
  3. 03 research PianoCoRe: Combined and Refined Piano MIDI Dataset PianoCoRe: Combined and Refined Piano MIDI Dataset arXiv:2605.06627v1 Announce Type: cross Abstract: Symbolic music datasets with matched scores and performances are essential for many music information retrieval (MIR) tasks. Yet, existing resources o [arxiv-cs-lg]
  4. 04 research How to make the most of your masked language model for protein engineering How to make the most of your masked language model for protein engineering arXiv:2603.10302v2 Announce Type: replace Abstract: A plethora of protein language models have been released in recent years. Yet comparatively little work has addressed how to best sample from them t [arxiv-cs-lg]
  5. 05 gemini Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a single semantic space. This model allows developers to p [google-developers]
  6. 06 gemini Get ready for Google I/O: Livestream schedule revealed Get ready for Google I/O: Livestream schedule revealed Google I/O returns May 19–20 to showcase major updates in AI, Android, Chrome, and Cloud, beginning with a keynote on the "agentic era" of development. The event will focus on new tools designed to au [google-developers]
  7. 07 gemini Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent proto [google-developers]
  8. 08 tech-news Metaがカナダのオンラインニュース法案C-22に反対表明 Meta’s Position on Canada’s Bill C-22 Metaはカナダの法案C-22に対する立場を表明し、ニュース出版社へのリンク表示に対価を求める枠組みは持続不可能だと主張した。同社は以前のC-18と同様、Facebookおよびinstagramでカナダのニュースコンテンツの提供を停止する可能性を示唆している。 Meta has published its position on Canada's Bill C-22, arguing that legislation forcing platforms to pay publishers for news links is unworkable and signaling it may again block news content on Facebook and Instagram in Canada, as it did under the earlier Bill C-18. [meta-newsroom]
  9. 09 research Are Flat Minima an Illusion? Are Flat Minima an Illusion? arXiv:2605.05209v1 Announce Type: new Abstract: Neural networks that land in flat regions of the loss landscape tend to generalise better than those in sharp regions. Sharpness-Aware Minimisation expl [arxiv-cs-lg]
  10. 10 research Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models arXiv:2605.05213v1 Announce Type: new Abstract: Chronic rhinosinusitis (CRS) is a common heterogeneous inflammatory disorder that causes substantial morbidity and healthcare costs. CRS is difficult to [arxiv-cs-lg]
🔥 Today's Top 3 importance × recency
  1. Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Building with Gemini Embedding 2: Agentic multimodal RAG and beyond google-developers just now
  2. Get ready for Google I/O: Livestream schedule revealed Get ready for Google I/O: Livestream schedule revealed google-developers just now
  3. Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java google-developers just now

Timeline 205 total · page 1/7

TODAY 30 entries
NEW blog gemini just now · google-developers

Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding

EN Researchers at UCSD have successfully implemented DFlash, a block-diffusion speculative decoding method, on Google TPUs to bypass the sequential bottlenecks of traditional autoregressive drafting. By

developers.googleblog.com
NEW blog gemini just now · google-developers

ADK Go 1.0 Arrives! ADK Go 1.0 Arrives!

EN The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key

developers.googleblog.com