# Grey Resource URL O1 https://www.youtube.com/watch?v=spamOhG7BOA&t=12s O2 https://eugeneyan.com/writing/llm-patterns/ O3 https://www.youtube.com/watch?v=JtQMHdhiwxg O4 https://www.youtube.com/watch?v=-bmynyCJVBg O5 https://medium.com/@_aigeek/best-practices-for-deploying-large-language-models-llms-in-production-fdc5bf240d6a O6 https://aws.amazon.com/blogs/machine-learning/fmops-llmops-operationalize-generative-ai-and-differences-with-mlops/ O7 https://a16z.com/emerging-architectures-for-llm-applications/ O8 https://arxiv.org/abs/2302.04844 https://www.youtube.com/watch?v=8_-QTw8ugas O9 https://arize.com/blog-course/large-language-model-llm-deployment/ O10 https://arize.com/blog-course/llmops-operationalizing-llms-at-scale/ O11 https://arize.com/blog-course/traces-spans-large-language-model-orchestration/ O12 https://arize.com/blog-course/assessing-large-language-models/ O13 https://arize.com/blog-course/guardrails-what-are-they-and-how-can-you-use-nemo-and-guardrails-ai-to-safeguard-llms/ O14 https://arize.com/blog-course/introduction-to-retrieval-augmented-generation/ O15 https://arize.com/blog-course/ai-agents-when-and-how-to-implement-langchain-llamaindex-babyagi/ O16 https://whylabs.ai/blog/posts/best-practices-monitoring-large-language-models-in-nlp O17 https://www.unusual.vc/post/devtools-for-language-models https://www.youtube.com/watch?v=tkL2c-16fXc O18 https://www.youtube.com/watch?v=3litPFfQvuU O19 https://www.youtube.com/watch?v=lnbx4dOW220 O20 https://www.youtube.com/watch?v=BN-txmqGxvQ O21 https://www.youtube.com/watch?v=QNg49s10kjQ O22 https://www.youtube.com/watch?v=e_9o4los7DQ O23 https://www.youtube.com/watch?v=ERdd5Ts7Bdg O24 https://www.youtube.com/watch?v=xPwGyWugyVs O25 https://openai.com/blog/best-practices-for-deploying-language-models O26 https://boringappsec.substack.com/p/edition-21-a-framework-to-securely O27 https://boringappsec.substack.com/p/edition-22-a-framework-to-securely O28 https://www.anyscale.com/blog/ray-common-production-challenges-for-generative-ai-infrastructure O29 https://icml.cc/virtual/2023/28988 O30 https://icml.cc/virtual/2023/28990 O31 https://icml.cc/virtual/2023/28991 O32 https://www.honeycomb.io/blog/improving-llms-production-observability O33 https://www.edx.org/learn/computer-science/databricks-large-language-models-application-through-production O34 https://www.linkedin.com/pulse/3-things-chatgpt-needs-before-can-deployed-customer-service-ghoche O35 https://www.aporia.com/learn/how-to-monitor-large-language-models/ O36 https://wandb.ai/iamleonie/Articles/reports/Understanding-LLMOps-Large-Language-Model-Operations--Vmlldzo0MDgyMDc2 O37 https://www.altmansolon.com/insights/from-out-of-the-box-to-tailor-made-developing-and-deploying-enterprise-generative-ai-tools/ O38 https://www.youtube.com/watch?v=Pft04KLw5Lk O39 https://bhr.stern.nyu.edu/tech-generativeai O40 https://www.labellerr.com/blog/security-challenges-in-llm-adoption-for-enterprises/ O41 https://www.fiddler.ai/blog/llmops-the-future-of-mlops-for-generative-ai O42 https://dr-arsanjani.medium.com/the-generative-ai-life-cycle-fb2271a70349 O43 https://www.battery.com/blog/ai-governance-stack/ O44 https://www.sequoiacap.com/article/llm-stack-perspective/?itm_medium=related-content&itm_source=sequoiacap.com O45 https://www.sequoiacap.com/article/ai-50-2023/?itm_medium=related-content&itm_source=sequoiacap.com O46 https://www.sequoiacap.com/article/generative-ai-act-two/ O47 https://www.fiddler.ai/blog/four-ways-that-enterprises-deploy-llms O48 https://arxiv.org/pdf/2305.15324 O49 https://developers.generativeai.google/guide/safety_guidance O50 https://dl.acm.org/doi/10.1145/3531146.3533088 O51 https://link.springer.com/article/10.1007/s43681-023-00289-2 O52 https://ai.google/responsibility/responsible-ai-practices/ O53 https://learn.microsoft.com/en-us/legal/cognitive-services/openai/overview O54 https://developer.nvidia.com/blog/nvidia-enables-trustworthy-safe-and-secure-large-language-model-conversational-systems/ O55 https://jakobs.dev/llm-production-learnings-0/ O56 https://blog.langchain.dev/evaluating-rag-pipelines-with-ragas-langsmith/ O57 https://jytan.net/posts/llm-reliability/ O58 https://uptrain.ai/blog/how-to-evaluate-your-llm-applications O59 https://www.promptingguide.ai/ O60 https://www.youtube.com/watch?v=-eXZhgE1_N4 O61 https://www.seldon.io/exploring-llm-apps-the-langchain-paradigm O62 https://www.seldon.io/orchestrating-llms-in-production O63 https://www.seldon.io/deploying-large-language-models-in-production O64 https://www.seldon.io/deploying-large-language-models-in-production-llm-deployment-challenges O65 https://magazine.sebastianraschka.com/p/finetuning-large-language-models