Prompt caching: 10x cheaper LLM tokens, but how?
https://ngrok.com/blog/prompt-caching/
#HackerNews #PromptCaching #LLMtokens #AItechnology #costefficiency #machinelearning
Prompt caching: 10x cheaper LLM tokens, but how?
https://ngrok.com/blog/prompt-caching/
#HackerNews #PromptCaching #LLMtokens #AItechnology #costefficiency #machinelearning
MVP App Development Ireland
Launch a market-ready mobile or web MVP in weeks with our expert Irish development team.
https://www.cabotsolutions.com/loc/mvp-app-development-ireland
#WebflowAgency #WebDesignDubai #WebflowExperts #DigitalAgency #UXDesign #WebDevelopment #FasterTimeToMarket #CostEfficiency #ResponsiveDesign #DubaiBusiness
Cần so sánh chi phí thực tế khi scale traffic giữa DigitalOcean và Railway. Hiện đang dùng gói $12/mo (2GB RAM/1vCPU) nhưng plan Hobby Railway ($5/mo) có 8GB RAM/8vCPU. Tuy nhiên, Railway tính theo usage, nên không biết liệu upgrade DO hay chuyển sang Railway có hiệu quả hơn? #DigitalOcean #Railway #CloudComparison #DevOps #CostEfficiency #SoSanhDienToan #PhanTichChiPhi #PhatTrienUngDung
https://www.reddit.com/r/selfhosted/comments/1oskc15/digitalocean_vs_railway_looking_for_realworld/
💰 Rising prices. Forced cloud migration. Vendor lock-in.
With Atlassian’s new direction, many organizations are losing control over their tools and their budgets.
And while #Atlassian has been steadily raising prices, open source has grown into a powerful alternative.
Learn how #OpenProject and other open source tools like @xwiki , @nextcloud or @collabora empower you to stay in charge:
🔎 https://www.openproject.org/blog/atlassian-alternative/
#OpenSource #CostEfficiency #Transparency #DigitalSovereignty #JiraAlternative
Efficiency is the new scale. 📈
The Architecting for Efficiency track at QCon SF is for senior leaders.
Hear from Netflix, Airbnb, and SS&C on cost-aware patterns, LLM scaling, and automated fleet optimization.
Master efficiency & save! Early bird: Oct 14! https://bit.ly/3VIeyqv
Your marketing doesn’t have to drain your budget. 🛑 Businesses deploying AI agents are cutting costs by up to 37% while boosting performance. This is the competitive edge you need.
👉 Learn more: https://www.osiztechnologies.com/ai-agent-development
#AI #AIAgents #AIForMarketing #AIInnovation #Automation #CostEfficiency #AIImpact #AIRevolution #BusinessGrowth #AI2025 #DigitalMarketing #SmartDecisions #MarketingTech #SmartBusiness #Efficiency
The True Cost of Building an MVP: How to Budget for Success Without Breaking the Bank
Understand the true cost of building an MVP and learn how to budget efficiently for startup success without overspending.
#MVPDevelopment #StartupBudget #ProductDevelopment #LeanStartup #Entrepreneurship #MVPGuide #StartupSuccess #BusinessStrategy #CostEfficiency #Innovation
93% of GPT-4 performance at 1/4 cost: LLM routing with weak bandit feedback
https://arxiv.org/abs/2508.21141
#HackerNews #GPT4 #Performance #LLMRouting #AIResearch #CostEfficiency #BanditFeedback
Large Language Models (LLMs) have revolutionized natural language processing, but their varying capabilities and costs pose challenges in practical applications. LLM routing addresses this by dynamically selecting the most suitable LLM for each query/task. Previous approaches treat this as a supervised learning problem, assuming complete knowledge of optimal query-LLM pairings. However, real-world scenarios lack such comprehensive mappings and face evolving user queries. We thus propose to study LLM routing as a contextual bandit problem, enabling adaptive decision-making using bandit feedback without requiring exhaustive inference across all LLMs for all queries (in contrast to supervised routing). To address this problem, we develop a shared embedding space for queries and LLMs, where query and LLM embeddings are aligned to reflect their affinity. This space is initially learned from offline human preference data and refined through online bandit feedback. We instantiate this idea through Preference-prior Informed Linucb fOr adaptive rouTing (PILOT), a novel extension of LinUCB. To handle diverse user budgets for model routing, we introduce an online cost policy modeled as a multi-choice knapsack problem, ensuring resource-efficient routing.