#llmops 搜尋結果
DatabricksとMLflowを用いることで、LLMOpsサイクルで重要な人間によるフィードバックによる評価を組み込むことができます。 DatabricksとMLflowによる人間のフィードバック収集を通じた生成AIアプリの品質改善 #LLMOps - Qiita qiita.com/taka_yayoi/ite…
ようやくDatabricksとMLflowのLLMOps機能を一通りウォークスルーできました。LoggedModelをはじめ、トレース、スコアラー、プロンプトレジストリ、サービングエンドポイントなどの関係性が一応腹落ちした感じです。 MLflow3とDatabricksで実現するLLMops #LLMOps - Qiita qiita.com/taka_yayoi/ite…
#LLMOps = the secret sauce for running large language models reliably in production. Learn key concepts, benefits & best practices 👉 yellow.systems/blog/what-is-l…
Databricksにおける生成AIアプリのモニタリング機能を改めてウォークスルーしました。機能統合や用語も変わっていたりでおっさんキャッチアップが大変。後続の記事でもアップデート内容をカバーしていきます。 Databricksにおける生成AIの本番運用モニタリング #LLMOps qiita.com/taka_yayoi/ite…
AI models need more than just deployment—they need lifecycle management. That’s where #LLMOps comes in: faster 🚀, reliable 🔒, cost-smart 💡. 👉 Read our blog bitl.to/57mD to see how LLMOps is shaping the future of AI. #AI #MachineLearning #NitorInfotech
My sister wrote this book for world's largest tech publisher. It's the only book on #LLMOps from O’Reilly #AbiAryan
What happens when a model fails? Most stacks shrug. Orchestrate doesn’t. It reconstructs payloads, revalidates schemas, and updates scoring in real time — all without restarting the session. #LLMops #DevInfra
Langfuse Launch Week Day 5： Datasets in Langfuse テスト／評価データの構造と運用を支える新機能が登場。 Dataset の「スキーマ エンフォースメント」と「フォルダー構成」が強化されました! #Langfuse #LLMOps #DataOps
AI’s no longer experimental, it’s operational. See how enterprises use LLMOps + RAG to scale GenAI with reliability, governance, and measurable ROI. Read more: eu1.hubs.ly/H0p1BFF0 #AI #LLMOps #GenAI #EnterpriseAI
I've just finished "LLMOps: Managing Large Language Models in Production" (amazon.es/Llmops-Managin…) by Abi Aryan & Lucas Meyer. Very good. #libros #books #LLMOps #MLOps #DevOps #LLM #LargeLanguageModels
Langfuse Launch Week Day 5：新機能Score Analytics 「LLM-as-a-judge は本当に期待通り測っているか？」、「ユーザーのフィードバックは手動アノテーションと一致しているか？」といった疑問を可視化できる機能が実装されています。 #Langfuse #LLMOps #AIEvaluation
#LLMOps の課題はハルシネーション（嘘）の解消。 バイブコーディングでもエンバグ防止が重要。 ① LLMでコード候補を生成 ② 証明支援システムで仕様への準拠を検証 というワークフローで、品質も確保できます。 証明支援システムの操作もLLMで補助すれば、人間の負担を減らせますね🤗
欲しいソフトウェアを説明するだけで、夜のうちにコードとテストが生成され、翌朝には動くサービスが立ち上がる。リポジトリを巡回するエージェントがテストとコミットを回し、更新と運用を自律化する。そこまでいけば「開発を速くする道具」というより「会社そのものを自動化するOS」の胎動だ。…
🚀 Heading to @MongoDB Day in Tel Aviv? We’re looking forward to seeing you there! Join us for: ✅ A live demo: See a customer-facing GenAI agent in action ✅ Best practices: Learn how leading organizations leverage #LLMOps to scale #AI across the enterprise
Working on bringing LLMs into productions? 🤔 Our @deeplearningai #LLMOps teaches you some of the core MLOps concepts! Checkout our free course below ⤵️ deeplearning.ai/short-courses/…
📣 Calling senior software practitioners! Write an article for InfoQ and help dev teams stay ahead of software trends. Share your practitioner knowledge, connect with peers, and build an author portfolio. Submit your proposal: bit.ly/3jlxSY4 #ai #ml ##LLMOps
𝗢𝗿𝗾 𝗟𝗮𝘂𝗻𝗰𝗵 𝗪𝗲𝗲𝗸 𝗗𝗮𝘆 𝟮/𝟱: 𝗧𝗿𝗮𝗰𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀 ✔ Create self-updating datasets with trace automations ✔ Define automation rules using filters ✔ Send matching traces directly to datasets No more digging. Just insights. #OrqLaunchWeek #llmops
A report from TS2 Space analyzes the #LLMOps landscape and we are noted as a benchmark example, showing how automation & pipeline tooling accelerates deployments by 12X 🚀 This mirrors what we see every day with our clients. ts2.tech/en/llmops-boom…
¿Trabajas con sistemas LLM o pipelines complejos? Opik, de código abierto, te permite rastrear, evaluar y optimizar tus aplicaciones de IA. Integra herramientas como Google ADK, Flowise AI y más. Monitorea hasta 40M+ trazas/día con dashboards listos para producción. #AI #LLMOps
Announcement: open-source project — flow-run. runner for LLM workflows you can actually test, version, and observe. YAML flows, eval/regression, budgets, Prometheus+OTel. Details: vitaliihonchar.com/insights/flow-… #LLMOps #OpenSourceSources #buildinpublic
Langfuse is a game changer for LLM observability. The ability to self-host and integrate with almost every framework gives unparalleled flexibility. Evaluating custom pipelines just got a whole lot easier. More info below. #LLMOps #Python #Langfuse
LLM Co integrates Weibo’s open-source model to enable private LLM deployments—use cases and setup at a glance: glcnd.io/llm-co-integra… #GLCND #LLMOps #Weibo
Langfuse Launch Week Day 5： Datasets in Langfuse テスト／評価データの構造と運用を支える新機能が登場。 Dataset の「スキーマ エンフォースメント」と「フォルダー構成」が強化されました! #Langfuse #LLMOps #DataOps
Ever wonder why some AI agents have amnesia? 🧠 I built one with a "whiteboard" (RAM) and one with a "notebook" (FAISS) to show the difference between Short-Term and Long-Term Memory. Code & Demo Given Below 👇 #AgenticAI #Python #LLMOps
From model training to context engineering & agent harnesses. Manage context rot & build reliable LLM systems. Simplicity still wins! #AI #LLMOps open.spotify.com/episode/5hmytu…
We didn’t just upgrade models—we upgraded the discipline. #MLOps → #LLMOps → #AgentOps. You’re no longer managing models, you’re managing autonomy across 3 stacks: deterministic, generative & agentic. Get the #AIgovernance fabric right or pay for chaos bit.ly/4p2Re3a
#LLMOps の課題はハルシネーション（嘘）の解消。 バイブコーディングでもエンバグ防止が重要。 ① LLMでコード候補を生成 ② 証明支援システムで仕様への準拠を検証 というワークフローで、品質も確保できます。 証明支援システムの操作もLLMで補助すれば、人間の負担を減らせますね🤗
欲しいソフトウェアを説明するだけで、夜のうちにコードとテストが生成され、翌朝には動くサービスが立ち上がる。リポジトリを巡回するエージェントがテストとコミットを回し、更新と運用を自律化する。そこまでいけば「開発を速くする道具」というより「会社そのものを自動化するOS」の胎動だ。…
Langfuse Launch Week Day 5：新機能Score Analytics 「LLM-as-a-judge は本当に期待通り測っているか？」、「ユーザーのフィードバックは手動アノテーションと一致しているか？」といった疑問を可視化できる機能が実装されています。 #Langfuse #LLMOps #AIEvaluation
Building LLM-powered apps at scale teaches you one thing: 🚫 It’s not just about the model. ✅ It’s about architecture, caching, context, observability, and human feedback loops. LLMOps = real-world AI engineering. #GenAI #LLMOps #SystemDesign
Excited to be out of stealth mode and officially launch @AdvantageGEOInc lots more exciting announcements to follow so follow & stay tuned! #GEO #LLMOPS #AISEO #AdvantageGEO #GenAI
🚀 MAJOR LAUNCH: AdvantageGEO is LIVE The world’s most comprehensive Generative Engine Optimization (GEO) platform is here—and it’s rewriting how brands dominate the AI era. #GenerativeEngineOptimization #GEO #FutureofSEO #AISEO #DigitalMarketing bit.ly/3LzXH7u
𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗙𝗶𝗿𝘀𝘁 𝗚𝗲𝗻𝗔𝗜: Simple. Safe. Scalable. Align to goals, govern & measure. Get a guided session + 30/60/90 runbook to pick 2–3 use cases, add guardrails & track ROI. Book your pilot → pacificdataintegrators.com/free-demo 🚀 #GenAI #LLMOps #AITrust #FinOps
This shift turns the prototype into a production-grade ingestion fabric for millions of docs. Diagrams + details in the repo. #LLMOps #RAG #CloudArchitecture #GCP
DatabricksとMLflowを用いることで、LLMOpsサイクルで重要な人間によるフィードバックによる評価を組み込むことができます。 DatabricksとMLflowによる人間のフィードバック収集を通じた生成AIアプリの品質改善 #LLMOps - Qiita qiita.com/taka_yayoi/ite…
It’s not Glastonbury nor ed Sheeran concert - (both had shorter queues btw 😂) This was an AI #LLMops event by @weights_biases in #London. People buzzing with code on their laptops, free drinks bar area was empty, total paradise for geeks n nerds. This fills me with hope for…
Excited to announce ⚡️ Portkey.ai ⚡️ - A foundational model ops platform to help companies ship gen AI apps & features with confidence! 💡 Monitor usage, latency & costs 💼 Manage models with ease 🔒 Protect your user data #FMOps #LLMops w/@ayushgarg_xyz
Databricksにおける生成AIアプリのモニタリング機能を改めてウォークスルーしました。機能統合や用語も変わっていたりでおっさんキャッチアップが大変。後続の記事でもアップデート内容をカバーしていきます。 Databricksにおける生成AIの本番運用モニタリング #LLMOps qiita.com/taka_yayoi/ite…
🚢 Shipping Dev-Agent-Lens: open-source observability & tracing for Claude Code. See raw prompts, tool calls, token/cost spikes. Add evals, set budgets, catch failures. Links ⬇️ #LLMOps #ClaudeCode #OpenTelemetry
Super pumped to announce today Kong's new open-source AI Gateway. It comes with native Multi-LLMs integrations (OpenAI, Cohere, LLaMA, Mistral, AzureAI, Anthropic initially), AI credential rotations, and AI observability with advanced prompt engineering plugins. #ai #llmops
My sister wrote this book for world's largest tech publisher. It's the only book on #LLMOps from O’Reilly #AbiAryan
With the third talk on LLM Ops – Bringing LLMs to Kubernetes, @iPrabakaran is here sharing his insights on running large language models efficiently on Kubernetes. #LLMOps #Kubernetes #MLOps #AI #cncf #MEETUP
LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: amzn.to/4dUQrv6 v/ @PacktPublishing — #DataScience #LLMOps #ML #GenAI #AI #GenerativeAI #MachineLearning — What you will learn: 🟢Implement robust data…
Working on bringing LLMs into productions? 🤔 Our @deeplearningai #LLMOps teaches you some of the core MLOps concepts! Checkout our free course below ⤵️ deeplearning.ai/short-courses/…
Databricks上でMLflowのLLMサポート機能(トレース、トラッキング、評価)をウォークスルーしました。LLMアプリのシームレスなデバッグ、記録、評価を通じて、生成AIアプリを効率的に開発できます！ DatabricksにおけるMLflowのLLMサポートのウォークスルー #LLMOps - Qiita qiita.com/taka_yayoi/ite…
DataTalkClub Free MLOps Course has started. #MachineLearning #MLOps @DataTalksClub #llmops #DevOps #deeplearning @Al_Grigor All the important links you need👇 🧵️
📣 Calling senior software practitioners! Write an article for InfoQ and help dev teams stay ahead of software trends. Share your practitioner knowledge, connect with peers, and build an author portfolio. Submit your proposal: bit.ly/3jlxSY4 #ai #ml ##LLMOps
🌟 New Course Alert! 🌟 "Unlock the secrets of #AI with our FREE #LLMOps course. Whether you're coding-savvy or just AI-curious, this course is your gateway to mastering the future of #tech! 🚀💻 #FreeAIcourse #LearnAI by @omarsar0 & @Cometml #AutoGPT #TechSkills #LLMs
When making #LLMs run well in production, you work with your #Ops team. So I'm already seeing some #LLMops articles or tweets popping around 👍 Now I'm wondering if we should use the hashtag #roLLMops, which would mean "rolling your LLM into product" 😅
#SaturdayMotivation Completed #LLMOps Concepts @DataCamp course. Used @DataWomen #scholarship. #LLM #LLMs #machinelearning
New research paper from our CTO Peter Hayes presented at #ICML2024 this week in Vienna titled “Active Preference Learning for Large Language Models.” If you’re interested in going deeper on #LLMops use cases for fine-tuning and RLHF, you can check out the abstract and full…
By using Log10, @LimeBike has gained better visibility into its vehicles: where they're located, how they're parked, if they're deployed correctly for current demand, and how they're operating. 🔎🛴 🔗 bit.ly/4da8nCI #AI #LLMOps #LLM
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