Vice President at Bessemer Venture Partners | bio, healthcare, AI | MD Candidate
Open-source models can be a strong lever for increasing gross margins at AI companies, especially those that have hefty cost structures (e.g., enterprise sales orgs that require significant customer success or implementation resources, as well forward-deployed AI services models common in healthcare and life sciences). One of many reasons to maintain a modular and flexible stack with minimal dependencies when building an AI company. More on the importance of flexibility in the AI stack: https://lnkd.in/eA2XATRk h/t Delip Rao #ai #artificialintelligence #generativeai #healthcare
Omega
2mo
Absolutely agree with you on the power of modular and flexible stacks! They not only boost efficiency but also foster innovation across varied applications. Great insights! 🚀
Lendahire
2mo
Interesting point! Thanks for sharing this insight. 🚀
Ming Jack Po
3mo
I am *loving* open sourced AI, especially things like OLamma3 and Whisper, completely changing how much it costs us to deploy AI :)
ManyMangoes 🥭
2mo
Great insights! Have you considered leveraging multidimensional split testing beyond the traditional model? By expanding to A/B/C/D/E/F/G testing, AI companies can gain deeper, actionable insights into user behavior, enabling more precise adjustments and fostering innovation within their product development processes.
This has been a big part of our eng strategy from day 1. At Opkit, we built support for a wide-range of AI models and a flexible architecture that allows us to substitute models and prompts extremely easily.
AI/Tech Innovation @ TPMG | Medical AI & Informatics Strategy | MDCalc Creator
3moWhisper on Google Colab... free (just used this to transcribe an interview recorded from a voice memo yesterday) https://colab.research.google.com/drive/1zEydNXx3OvbIf_IwfFkJN34ipwp3rgiQ