Little Short Bulletins
Little Short Bulletins
leebutterman.comA personal collection of technical experiments and insights, often exploring AI, LLMs, and generative art.
Little Short Bulletins
leebutterman.comA personal collection of technical experiments and insights, often exploring AI, LLMs, and generative art.
A personal collection of technical experiments and insights, often exploring AI, LLMs, and generative art.
leebutterman.comMomentum rises when people search, view, like, share, claim, or save this profile.
This website showcases a series of dated posts detailing various technical explorations, primarily in the realm of artificial intelligence and machine learning. Projects range from visualizing tiny LLMs and creating acrostic-speaking LLMs to optimizing Stable Diffusion for low-power devices like a Raspberry Pi. It also features explorations into AI art timepieces and older projects like Wikipedia search-by-vibes and automatic speech recognition for Latin, demonstrating a broad interest in experimental AI and data science applications.
AI/ML researchers, developers, enthusiasts, and potential collaborators or employers interested in experimental applications of AI and data science.
The site highlights a diverse range of hands-on AI/ML experiments, from novel LLM applications to optimizing generative models for resource-constrained hardware. It demonstrates a strong technical curiosity and ability to implement complex ideas, making it a compelling portfolio for those interested in practical AI innovation and cutting-edge research.
AI-assisted scores estimated from public website information only.
This FounderDeck estimate of $15,000 reflects the high technical skill and innovative exploration demonstrated across numerous AI/ML projects. While the site is a personal portfolio and not a commercial startup, the intellectual property and potential for future product development from these experiments hold intrinsic value. The estimate is not higher due to the absence of a clear product, business model, or any explicit monetization strategy.
Valuation date: 2026-06-05. Estimate generated from public signals.
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