All-in-one solution for IT leasing and device management. We procure, secure, assist and recycle IT equipment. Our first product is the Fleet Cockpit. 🚚 Track devices ⎮ 👥 Organize teams ⎮ ⌛️ Save time ⎮ 💻 Provide support ⎮🛡️Secure
Subscribe
Sign in
All-in-one solution for IT leasing and device management. We procure, secure, assist and recycle IT equipment. Our first product is the Fleet Cockpit. 🚚 Track devices ⎮ 👥 Organize teams ⎮ ⌛️ Save time ⎮ 💻 Provide support ⎮🛡️Secure
When integrating internal knowledge into AI applications, three main approaches stand out:
1. Prompt Context Load all relevant information into the context window and leverage prompt caching.
2. Retrieval-Augmented Generation (RAG) Use text embeddings to fetch only the most relevant information for each query.
3. Fine-Tuning Train a foundation model to better align with specific needs.
Each approach has its own strengths and trade-offs:
It sounds like a really practical solution for IT teams! The choice of prompt context to streamline operations is interesting especially with the increased context window sizes. As the knowledge base grows, how do you foresee the transition to a hybrid approach (RAG and fine-tuning) impacting the system's efficiency and scalability? Also, are there any specific use cases where you think fine-tuning would be essential over RAG or prompt context? Excited to see how Fleet AI Copilot evolves!
appfleet
Hey hunters!
I’m Sevan, co-founder and CEO at Fleet.
Today, alongside my associate Alex and the entire Fleet team, we are beyond excited to introduce our latest innovation: Fleet AI Copilot.
6 years ago we created Fleet. 3 years ago we launched Fleet’s Cockpit. Now, we’re thrilled to take the next step with Fleet AI Copilot.
Fleet AI Copilot seamlessly integrates with your Fleet Cockpit, acting as an intelligent IT assistant that simplifies and centralizes your IT operations. Action suggestions. Access to cockpit data. Integration of product support information. And much more…
Our goal is to ensure robust security, streamline onboarding processes, and provide consistent daily support,
Whether you're managing onboarding, device orders, or HRIS synchronization, Fleet AI Copilot has you covered. Accessible to both administrators and employees, your teams can save time for more value-added tasks.
We are very excited for the launch of Fleet AI Copilot, and our Product team is very excited to hear all your thoughts and feedback on their work, as they are willing to make device management even more simple 💚
Notion
@sevan_marian congrats!
@benln Thanks a lot for the support Ben !
Streos
@sevan_marian Fleet has successfully integrated AI seamlessly into IT operations. Congrats on the launch
appfleet
@sevan_marian What an incredible journey it has been with Fleet! We're thrilled to introduce our latest innovation: the Fleet AI Copilot.
Say hello to your new IT team member and support companion. Fleet AI Copilot is designed to simplify your life by assisting with daily tasks and IT challenges while centralizing all your IT operations.
I’m sure you’ll love it.
Convergence
@sevan_marian Keep up the good work team!!
Fleet
Super excited to launch this IT support copilot on Product Hunt. The tech team has been working tirelessly for the past few months. Our beta launch was incredible, and we can't wait to get your feedback now, hunters!
@guy_houot Amazing product, great work by all participants!
@guy_houot well done team! I can only remind those evenings/nights spent updating endless checklists for each onboarding. God, how I would have loved to have Fleet a few years ago :)
Fleet
@nloutre Thank Nicolas :)
@guy_houot Wow that's so cool Guy. Kudos on doing a beta test before launching ! And bravo for the great team work!!!!
Fleet
@caroline_borges Thank a lot ! :)
Super exciting!! Amazing job 🚀🚀🚀
Fleet
@sachsachsach Thank a lot Sacha - we use also Linkup - your tools in our backend for improve the knowledge of our copilot !