Knapsack

How to oprationalize GAI beyond the 50 shades of internet chat bots? Adding color to this debate, i had the pleasure to host a great line up of builders and an energetic audience at GitHub offices in San Francisco this week for another AICamp meetup event. ▶ Christy Bergman, Dev Advocate from Zilliz demonstrated using the latest AI models with proprietary data on a customizable RAG stack. This is a key motion for businesses looking to opertionalize AI. ▶ Cooper Lindsey , CEO of Knapsack demonstrated how to deploy large and small learning models locally to overcome AI cost and data security concerns. ▶ Finally Michael Vandi , Founder of Addy AI and Spatika Ganesh showcased thier AI-powered email that aims to deliver the next gen email experience we all need! 🙏 Huge thanks GitHub for supporting the AI developers community, and the amazing AICamp bay area team on-site Devinder Sodhi, and behind the scenes Sonam G. , Hamza Zerarka Elisa Yao, for bringing these events together. 💪🏽 📣 The event recording is available at AICamp. Check us out on Slack and Discord and look out for the next AICamp meet ups, workshops and hackathons coming soon! #llm,#llms, #aicommunity, #ai, #genain

Some news: my co-founder Mark Heynen and I have agreed to take over the Stanford AI Startups Meetup group -- please sign up! I teamed up with Mark initially on PayJoy right after graduating from Stanford in 2016 and again in the last year to start Knap, a company focused on fast on-device/on-premise AI services. Mark and I will be bringing more events to you in the coming months. We have been active in AI Camp and other well-organized groups, and with all the excitement and interest in AI, we think there is so much potential in these IRL events. Please let us know if there are talks you want to give or see. https://lnkd.in/gKcH4ijy

Cooper Lindsey and I have decided to bring on a senior software engineer to help us pioneer how people can use open source LLMs to streamline their work at Knap. The ideal candidate will have a strong foundation in programming languages such as Python, Rust, or Typescript. While these skills are beneficial, they are not essential requirements. What is essential is a combination of intelligence, speed, and the ability to work independently, and at least three years of relevant experience, preferably with an undergraduate degree in Computer Science. We are looking for someone who can take high ownership of the full stack of our AI applications (i.e., front end and back end). We value a positive and collaborative work ethic, with no room for egos. The ideal candidate will also be comfortable in an early stage company, with either a portion of their payment deferred until we raise our next round or an equity component.  On time allocation, we are open to part time, e.g.,  20 hours per week.  We are also open to contract work if that is preferred. While not essential, candidates with experience in vectorization, vector databases, deploying open-source LLMs, or developing desktop applications will be highly valued. We are excited to find the right individual to join our team and contribute to our mission of making AI safe and easy for people to use at work. If you are interested in this opportunity, please reach out.