Generative AI Prototyping

Over the past few years I’ve worked with a variety of teams to explore the emerging products and platforms leveraging Generative AI. We’ve explored how it will affect digital product building, communications, marketing, loyalty, creative processes, and institutional knowledge.

Projects

• Image generation for creative ideation
• Text translation for brand consistency and copywriting efficiency
• Retrieval-augmented-generation systems for helping teams access large-scale bodies of institutional knowledge
• Autonomous agentic systems for interfacing with complex technical systems (chat with a database, no SQL needed)
• Synthesis of summaries processing volumes of complex domain-specific documentation
• Intelligent Document Processing systems (“chat with a PDF”)

Technologies Explored

• Large Language Models (LLMs) (e.g. OpenAI, Anthropic, Google Gemini, Meta Llama, Cohere)
• Text-to-image Diffusion Models (e.g. StableDiffusion, MidJourney, Flux, Firefly, Dall•e)
• Vector Embeddings
• Vector Databases (e.g. Pinecone, PGVector, Chroma, Qdrant)
• Text-to-speech
• Speech-to-text
• Retrieval-augmented-generation
• LLM Application Frameworks (LangChain, LlamaIndex, Haystack, Semantic Kernel)
• Computer Vision

Resources

Some of my work with Apply Digital on these topics are published in their article on Navigating the AI Landscape: How Leveraging LLMs Can Drive Business Impact