The article explores emerging patterns in building Generative AI products as they transition from prototypes to production. It identifies key challenges like hallucination, unbounded data access, and non-determinism. Patterns include Direct Prompting, Retrieval Augmented Generation (RAG), Hybrid Retriever, Query Rewriting, Guardrails, and Fine Tuning, each addressing specific issues in GenAI systems. It emphasizes the importance of contextual usage rather than one-size-fits-all solutions. The patterns are based on practical experiences in real-world deployments.
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Agentic Document Extraction
The article introduces Agentic Document Extraction, an advanced system for understanding documents using visual context. It goes beyond traditional OCR by recognizing complex layouts, visual elements, and structured data in documents like medical forms, financial statements, and legal contracts. Key features include layout analysis, visual grounding, and accurate extraction from images, tables, and checkboxes, enhancing decision-making and workflow automation across industries.
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Find The Fast Moving Water
The article introduces the concept of “Fast Moving Water” for startups, emphasizing the importance of aligning with rapidly evolving markets and technologies. It discusses how founders can identify these high-growth areas by observing technology shifts, spotting low-quality products gaining traction, and recognizing network effects. It highlights that success isn’t just about product-market fit but also about navigating market currents effectively to achieve exponential growth.
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Chatting with Ollama’s API
The article explores Ollama’s API, a tool for running local language models with ease. It details the setup, model selection, and key API endpoints, emphasizing the /chat endpoint for interactive AI conversations. The author shares a TypeScript example to demonstrate querying the model and extracting code from the response. The piece highlights Ollama’s flexibility for local model experimentation and solution building.
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Fun Stuff
Our usual fun stuff
