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Startup Fortune
startupfortune. com > llamacpp-adds-multi-token-prediction-and-doubles-qwen36-27b-throughput-for-local-inference

llama. cpp adds Multi-Token Prediction and doubles Qwen3. 6 27 B throughput for local inference

4+ hour, 46+ min ago  (478+ words) Ai | llama. cpp's merge of Multi-Token Prediction unlocks large local inference speedups for Qwen3. 6 27 B, with community benchmarks showing roughly 2. 4" on Strix Halo and 2. 17" on other rigs, making on-device open-weight models far more practical for low-latency and privacy-sensitive workloads. llama. cpp…...

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DEV Community
dev. to > cansubuilds > claude-47-released-with-1m-token-context-4j3a

Claude 4. 7 Released with 1 M Token Context

1+ hour, 10+ min ago  (486+ words) Claude 4. 7 s'r'm'yle gelen 1 milyon token context window, karma'k RAG mimarilerini ve veri par'alama (chunking) s're'lerini indie builder'lar i'in tamamen opsiyonel hale getiriyor. Artk binlerce sayfalk teknik d'k'mantasyonu veya t'm codebase'i vekt'r veritabanlarna b'l'p "en yakn benzerli'i bul" diye u'ramak yerine,…...

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DEV Community
dev. to > ajaydevineni > your-otel-traces-are-lying-to-you-observability-for-the-reasoning-layer-2f7p

Your OTel Traces Are Lying to You Observability for the Reasoning Layer

1+ hour, 24+ min ago  (22+ words) Three weeks ago someone on the AWS Builders Slack posted something that stopped me cold. Their. .. Tagged with ai, sre, devops, platformeng....

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DEV Community
dev. to > wonderlab > rag-series-22-long-context-vs-rag-do-we-even-need-rag-5a8j

RAG Series (22): Long Context vs RAG " Do We Even Need RAG?

1+ hour, 41+ min ago  (521+ words) Gemini 1. 5 Pro supports 1 million token context. Claude 3. 5 handles 200 K tokens. GPT-4 Turbo handles 128 K. A small novel fits in context. Some people ask: is RAG still necessary? The question deserves a real answer, because it hides a genuine engineering decision: for…...

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@doublewordai
doubleword. ai > models > gemma-4-31b

Doubleword " High Throughput Inference | AI Inference at Scale

2+ hour, 59+ min ago  (464+ words) Doubleword is the inference provider for large scale, high throughput inference demands like background agents and batched workloads. Process your first 20, 000, 000 tokens for free. Built for background queues, nightly cron jobs, and massive offline ETL pipelines. Don't block your user's…...

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YRO. AI
yro. ai > agents > cupy

Cupy " AI Agent

1+ mon, 13+ hour ago  (28+ words) Cupy yro. ai Num Py & Sci Py for GPU Num Py & Sci Py for GPU An open-source project with 10, 903 Git Hub stars, written in Python. Licensed under MIT....

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inkl
inkl. com > news > almost-entirely-unmanageable-linus-torvalds-says-ai-bug-hunters-have-ruined-linux-security-mailing-list

'Almost entirely unmanageable': Linus Torvalds says AI bug hunters have ruined Linux security mailing list

7+ hour, 37+ min ago  (257+ words) The Linux security mailing list is now "almost entirely unmanageable, since researchers started using Artificial Intelligence (AI) to flood it with useless reports, lead maintainer Linus Torvalds has warned. After describing the latest release candidate as "fairly normal in his…...

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Proof Agent
proofagent. ai > platform

Proof Agent " Test your AI agents before they ship

4+ hour, 18+ min ago  (46+ words) Enterprise platform for evaluating, monitoring, and governing AI agents. Adversarial multi-juror scoring, production log audits, artifact review, multi-agent orchestration scoring, expert human review, regression tracking across versions. 11+ production metrics. SOC 2-aligned, HIPAA-ready, GDPR-aligned. On-premises and private cloud deployment available....

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Deepseek
chat-deep. ai

Deep Seek RAG Knowledge Base: How to Build a Production-Ready RAG System with Deep Seek

9+ hour, 33+ min ago  (1651+ words) A Deep Seek RAG Knowledge Base helps an AI application answer questions using your private, current, domain-specific documents instead of relying only on what a language model learned during training. Building a RAG System with Deep Seek means combining document…...

Google News
landing. llamaindex. ai > -webinar-parsebench

Inside Parse Bench: How to Evaluate Document Parsing for AI Agents

4+ hour, 24+ min ago  (114+ words) May 27th | 9 AM PST | Register to attend Parse Bench has quickly become the standard framework for evaluating document parsing for AI agents. In this session we go under the hood " the methodology, what we tested, and how to use it to…...

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