https://tapurl.to/llmops
https://tapurl.to/llmops
【LLMOps】FDEの開発を支えるトレーシング基盤の開発
【LLMOps】FDEの開発を支えるトレーシング基盤の開発
https://logicstack.org/blog/llmops-shipping-ai-to-production?utm_source=bluesky&utm_medium=social&utm_campaign=llmops-shipping-ai-to-production
https://logicstack.org/blog/llmops-shipping-ai-to-production?utm_source=bluesky&utm_medium=social&utm_campaign=llmops-shipping-ai-to-production
workloft.ai/ships/quant...
#LLMOps
workloft.ai/ships/quant...
#LLMOps
https://techpodindex.com/episode/the-practical-ai-digest-llmops-operating-large-language-models-in-production
#podcast #tech
https://techpodindex.com/episode/the-practical-ai-digest-llmops-operating-large-language-models-in-production
#podcast #tech
An agent that's right 90% per step finishes a 10-step run right about a third of the time. A better prompt won't fix that; fewer model-decided steps will.
A hedge fund agent went 36% → 98% by fixing retrieval, not the prompt (YouTube engineering channel).
#aiagents #llmops
#StrandsAgents #LLMOps #FinOps #AWS
"Decider" models like Jev and AWS's Strands Decider are popular. They behave like a traditional "classifier" where they are given a set of criteria with data and decide on the most likely answer. The article here discusses an example
#StrandsAgents #LLMOps #FinOps #AWS
"Decider" models like Jev and AWS's Strands Decider are popular. They behave like a traditional "classifier" where they are given a set of criteria with data and decide on the most likely answer. The article here discusses an example
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📚 Learn: Python | Generative AI | Agentic AI | LLMOps
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Highlights:
- mcp-router: sub-ms scope isolation (-98% token burn)
- diskopt: crash-proof SRE storage guard
- archmap: AST architecture visualizer
Full repos + links in first comment 👇
#AIEngineering #OpenSource #DevOps #LLMOps
Highlights:
- mcp-router: sub-ms scope isolation (-98% token burn)
- diskopt: crash-proof SRE storage guard
- archmap: AST architecture visualizer
Full repos + links in first comment 👇
#AIEngineering #OpenSource #DevOps #LLMOps
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📅 Date: 12 November 2026 | ⏰ Time: 7:00 AM IT
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What stays with you:
- 30–50 cases from real traffic
- never-regress split from judgment calls
- one command: pass rate + diff vs last run
- pinned model name and version
From an r/SaaS thread, July 2026.
#evals #llmops
自律型AIの本番運用に必須となる監視・統制基盤が大幅強化されます。
・推論プロセスとツール呼び出しのフルスタック追跡
・レイテンシー、トークンコスト、精度のリアルタイム監視
・データクラウドネイティブなエンタープライズ統治と安全性
AIエージェントは「動かす」段階から「可観測性で制御する」実用フェーズへ突入です。
#Snowflake #AIエージェント #可観測性 #LLMOps
自律型AIの本番運用に必須となる監視・統制基盤が大幅強化されます。
・推論プロセスとツール呼び出しのフルスタック追跡
・レイテンシー、トークンコスト、精度のリアルタイム監視
・データクラウドネイティブなエンタープライズ統治と安全性
AIエージェントは「動かす」段階から「可観測性で制御する」実用フェーズへ突入です。
#Snowflake #AIエージェント #可観測性 #LLMOps
https://zenn.dev/aishift/articles/e761cff4f079cd
https://zenn.dev/aishift/articles/e761cff4f079cd
Introduction: The 2026 security incident involving OpenAI’s autonomous evaluation framework and Hugging Face’s cloud infrastructure…
Introduction: The 2026 security incident involving OpenAI’s autonomous evaluation framework and Hugging Face’s cloud infrastructure…
区别只在顺序:一个把当前时间、用户 ID 放在 system prompt 最前面,每次请求前缀都不一样,prompt cache 一次没命中。
prompt 的排版,直接决定成本👇🧵
#AIAgent #LLMOps
区别只在顺序:一个把当前时间、用户 ID 放在 system prompt 最前面,每次请求前缀都不一样,prompt cache 一次没命中。
prompt 的排版,直接决定成本👇🧵
#AIAgent #LLMOps
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📞 Call: +91-9989971070
Want to learn modern AI technologies? Explore Python, Generative AI, LLMs, RAG, LangChain, Agentic AI, and LLMOps with Visualpath.
Read Full Blog: visualpathonlinetraininginstitute.blogspot.com/2026/11/ai-s...
📞 Call: +91-9989971070
From a public repro, not ours: four open-source agent codebases, r/LLMDevs, Oct 2026.
We think checkpoint granularity is a cost decision.
#AIAgents #LLMOps
記録を取るかどうかを作る人の判断に任せず、全員が必ず通る経路で取ると抜けがなくなります。プロキシでのアクセスログや、ミドルウェアでの計測といった昔からの型と同じ考え方です。
記録を取るかどうかを作る人の判断に任せず、全員が必ず通る経路で取ると抜けがなくなります。プロキシでのアクセスログや、ミドルウェアでの計測といった昔からの型と同じ考え方です。
Read Full Blog: visualpathonlinetraininginstitute.blogspot.com/2026/11/are-...
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#ArtificialIntelligence #GenerativeAI #AgenticAI #Python #LLMOps
Read Full Blog: visualpathonlinetraininginstitute.blogspot.com/2026/11/are-...
🎯 Ideal for: Beginners, Freshers & Working Professionals
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#ArtificialIntelligence #GenerativeAI #AgenticAI #Python #LLMOps
Livelock is the multi-agent failure that looks like diligence.
https://loopandretry.github.io/posts/multi-agent-livelock/?ref=bluesky
#AIagents #LLMOps #AIengineering #LLM
Livelock is the multi-agent failure that looks like diligence.
https://loopandretry.github.io/posts/multi-agent-livelock/?ref=bluesky
#AIagents #LLMOps #AIengineering #LLM
Introduction: While vendor-reported benchmark scores like Mistral's 41% on Terminal-Bench 4.0 demonstrate raw model capability, they provide zero guarantee of enterprise readiness,…
Introduction: While vendor-reported benchmark scores like Mistral's 41% on Terminal-Bench 4.0 demonstrate raw model capability, they provide zero guarantee of enterprise readiness,…
When ChatGPT goes down, your app shouldn’t. A production playbook…
#llmops #reliability
https://www.kunalganglani.com/blog/chatgpt-down-api-outage-fallback?utm_source=bluesky&utm_medium=update&utm_campaign=chatgpt-down-api-outage-fallback
When ChatGPT goes down, your app shouldn’t. A production playbook…
#llmops #reliability
https://www.kunalganglani.com/blog/chatgpt-down-api-outage-fallback?utm_source=bluesky&utm_medium=update&utm_campaign=chatgpt-down-api-outage-fallback