The biggest bottleneck for large language model startups is UX | by Davis Treybig | Innovation Endeavors | Nov, 2022 | Medium

Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled…

The biggest bottleneck for large language model startups is UX Davis Treybig 24 min read · Nov 1, 2022 -- 10 Listen Share Press enter or click to view image in full size Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have led to a huge array of founders using LLMs to rethink workflows ranging from code reviews to copywriting to analyzing unstructured product feedback . Much has been written about this emerging ecosystem — I would recommend the exc

saved by

• Linda
• Adithya V
• Douglas Qian

related reading

• What We’ve Learned From A Year of Building with LLMs – Applied LLMsapplied-llms.org
• Malleable software in the age of LLMsgeoffreylitt.com
• Productizing Large Language Modelsblog.replit.com
• Patterns for Building LLM-based Systems & Productseugeneyan.com
• Boring is good – Scott Jensonjenson.org
• Using Large Language Models Effectivelyunsupervisedlearning.substack.com
• What We Learned from a Year of Building with LLMs (Part II) – O’Reillyoreilly.com
• Things we learned about LLMs in 2024simonwillison.net
• crawshaw - 2025-01-06crawshaw.io
• Beyond Text: Making GenAI Applications Accessible to Allblog.langchain.dev
• Overview & Applications of Large Language Models (LLMs)leighmariebraswell.substack.com
• Making Large Language Models work for yousimonwillison.net