LLMs - Production vs Prototype

 #LLM is #Cool! #PromptEngineering is great. Demonstrating a prototype is beneficial, but for a production application, preparing data and consistently getting Top K results are essential. The ability to handle diverse queries, manage large datasets vs. remembering minimal key data are significant trade-offs and design choices that come with domain knowledge. Building a working solution is easy, but achieving predictable, low-latency, and consistent behavior requires constant iteration and evolution. #Perspectives and #AppliedLearning are key. #AI #MachineLearning #DataScience #Prototypes #ProductionReady #DataPrep #Latency #Consistency #Iteration #

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GenAI - Lessons getting things to production

• Exploratory Analysis: Use case identification
• Investigative Analysis: Data Exploration and Use Case Identification
• Leadership Buy-in: Presentation, Discussion, Understanding the Prospects and Advantages of GenAI
• Impactful Use Cases: Prototype use cases with available data. Select a handful of use cases for immediate progression to production
• Hands-on Session: Elevate Business Awareness about GenAI and its Opportunities. Educate Businesses on GenAI and opportunities
• Development: Develop identified use cases, fast track to production
• Evaluate: Evaluate in Pre-prod and get aligned. Test in Pre-production Environment and Align Accurately
• Move selected use cases into production
• Automating Current Manual Workflows: Work on Production End to End architecture automating some of the manual processes currently. Implement Full-Scale Production Architecture, Automating Current Manual Workflows

Continue the Iteration Process for Constant Progress!

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