
LLMWare
Dev tool to make AI apps to deploy privately or locally
| About | Details |
|---|---|
| Name: | LLMWare |
| Submited By: | Lamont Strosin |
| Release Date | 1 year ago |
| Website | Visit Website |
| Category | Open Source GitHub |
Pioneering AI development tools and small language models built for financial services, compliance and other regulatory intensive industries in private cloud or local deployment. Innovative end to end solution for RAG and AI Agent Workflow automation framework
@namee_oberst Congrats on your PH launch. I'm glad to see SLM in action.
1 year ago
Honestly I’d really love to work on this with you if you’re interested. This is a very common need for my customer base right now and I was barking up this same tree albeit a bit differently. Let me know if you wanna collab! @namee_oberst
1 year ago
Congrats @namee_oberst ! It seems really promising, and I'm excited to try it out for myself. Best of luck with it, and looking forward to seeing where it goes!
1 year ago
A huge congratulations to the team at LLMWare.ai for becoming Product of the Day !!🏆🚀
1 year ago
LLMWare.ai is a timely solution for enterprises prioritizing data security without sacrificing the benefits of AI. The emphasis on small language models that run locally really addresses the common concerns around data privacy and breaches. I love the comprehensive open-source repository and the abundance of examples—it makes integrating AI into existing workflows much more accessible. Getting recognized by GitHub is a fantastic achievement and speaks to the project’s quality. Excited to see how the commercial product simplifies deployment on standard enterprise hardware. Kudos to Namee and the team for tackling such a crucial aspect of AI in the workplace!
1 year ago
This is a fantastic tool for developers in finance and compliance. Plus, being open source is a big plus!
1 year ago
Small Language Models are super compelling — both because they can run more easily behind the firewall but also because they can run locally on-device. I'm glad @namee_oberst reached out to me to help her with this launch both because this approach to AI deserves more attention and because she's building a very compelling platform with LLMWare.
1 year ago








