Roro

Roro

软件开发

San Francisco,California 5,544 位关注者

A product studio for mobile and web.

关于我们

Got a mobile or web product idea? AI-mazing! Welcome to Roro Solutions—your go-to product studio for AI, mobile, and web innovation. We are a group of technologists, geeking out on technologies that are shaping our collective future. Think of us as your partners in tackling complex engineering challenges and design solutions. Here’s what we can collaborate on: - Mobile Apps (native, hybrid, AR) - Connected Experiences (BLE, NFC) - Artificial Intelligence (NLP, ML, on-device) - Generative AI (context, fine-tune, RAG) - Data Science (planning, processing, analysis) - Technical Product Definition - UX/UI and Product Design - Web Backend & Frontend Partnering with us will add you in a roster of tech-forward companies like L'Oréal, Luxer One, Eyrus, uLesson, and Precision Pro Golf. You will be working with a team focused on: - Specialization - Quality - Speed Visit www.roro.io and let’s get cracking at your future-ready product!

网站
https://www.roro.io
所属行业
软件开发
规模
51-200 人
总部
San Francisco,California
类型
私人持股
创立
2017
领域
iot、digital health、mobile app development、iOS app development、Android app development、UX/UI design、beauty-tech、sports-tech、ai、health-tech、ReactJS、NodeJS、Swift、Kotlin、NestJS、NextJS、Generative AI、Langchain和LLM

地点

Roro员工

动态

  • 查看Roro的公司主页,图片

    5,544 位关注者

    Building LLM applications is a different dimension of software engineering altogether. Having cut through the fluff around generative ai and worked on several real LLM applications, here are few things that we do at Roro and severely enjoy. ?? Eliminate. (if the task shouldn't require LLM) ?? Categorise & Strategise. ?? Unstructured data science. ?? Development of LLM applications using LangChain. ?? RAG systems using vector databases like Pinecone, FAISS and ChromaDB. ?? Simple Agents based on ReAct prompt. ?? Complex Agents and multi-agent systems using LangGraph and flow engineering. ?? Monitor and optimise using LangSmith. ——————————————— Different LLMs have different behaviour and target use-cases. Here are a few things we do to optimise (cost+performance) the use of LLMs. ?? Different models for different use-cases, even within the same project. ?? Low cost or local models (using Ollama) for simpler tasks. ?? Decide if a use case require an LLM to be fine-tuned. ?? Pandas and Seaborn to prepare dataset for fine-tuning. ?? Fine-tune LLMs using platforms like OpenAI, LlamaFactory, Unsloth, Gradient and HuggingFace. ?? Case-optimise latency-accuracy trade-off during fine-tuning through quantisation, LoRA and pruning. ——————————————— It’s a very exciting time to jump on the Generative AI bandwagon. If you have a thought or use case around your business, we’ll love to talk and brainstorm. Visit our updated website at?www.roro.io?and a get a quote for your Gen AI project. #llm #generativeai #ai #langchain #vectordatabase #rag

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  • 查看Roro的公司主页,图片

    5,544 位关注者

    Working with?Skin Dossier?has been an incredible journey. Their AI-powered diagnostics are leading the way consumers approach skincare, haircare, supplements, and more—bringing precision and personalization to the forefront. A big thank you to our visionary partner?Sindhya Valloppillil?for her kind words and for trusting Roro to deliver high-quality, impactful results.?Here's to creating smarter, impactful solutions together! #ClientTestimonials

    • Skin Dossier
  • 查看Roro的公司主页,图片

    5,544 位关注者

    We've loved working with Eyrus, the worksite intelligence platform that brings automation and smart insights to construction teams worldwide—from onboarding to access control and more. Our goal was understanding Eyrus’ unique needs and deliver a solution that would truly support their mission. Thanks to Ben Brautigam and the entire Eyrus team for the trust and partnership. Special shoutout to Ben for the thoughtful words. #ClientTestimonial

    • Eyrus
  • Roro转发了

    查看Achin Kumar的档案,图片

    Co-founder at Roro ? Building LLM Applications ? LangChain ? Conversational AI ? LLM Psychology ? Flow Engineering

    Open AI just released a framework to do lightweight multi-agent orchestration called Swarm. They call it ‘educational’ but after going through their GitHub page, it seems it will instantly kill Crew.ai. Swarm implements flow engineering at a ‘lighter’ scale, more autonomously, while LangGraph does it extensively and with more control on the flow. Here is a gist of what Swarm does: - Route (triage agent) a situation between available specialised agents. - Maintain context variables (really like this!) gathered over the conversation. Its similar to graph state in LangGraph, just more at the disposal of the LLM. - Execute tools, which can wrap any injectable source like an API call or Vector DB retrieval. - Handoff so that the triage agent can assign it to a different agent or finish the process. ————————————————— It’s too early to start using Swarm in real projects. Currently, it’s more of a way for us to validate and align our thoughts with OpenAI engineers about multi agent situation. The only thing I employ in my LLM Agent projects and do not see here or in LangGraph is the formal definition of ‘Actions’. I don’t think every situation requires multi-agent. A lot of them are more of a situation with one agent that performs several actions to accomplish a task. Thoughts? #openai #agents #llm #ai

    查看Generative AI的公司主页,图片

    5,158,258 位关注者

    ?? OpenAI Launches Swarm: A Framework for Lightweight Multi-Agent Orchestration Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions: Agents and handoffs. An Agent encompasses instructions and tools, and can at any point choose to hand off a conversation to another Agent. These primitives are powerful enough to express rich dynamics between tools and networks of agents, allowing you to build scalable, real-world solutions while avoiding a steep learning curve. ?? GitHub: https://lnkd.in/gRb89gXy —- ? Get Free Daily Updates on the Latest AI News -> https://lnkd.in/dH8ag7MA #ai #education #tech #innovation #openai

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  • 查看Roro的公司主页,图片

    5,544 位关注者

    A bad UI can break a brand fast, but a well-designed one can boost conversion rates by up to 200%, with good UX increasing that to 400% (Forrester). Intuitive design builds trust and drives revenue. At Roro, we prioritize design because it shapes your customer's first impression. Book a meeting with us to explore how we can make your product's design more intuitive - https://buff.ly/4dvHxE7 #IntuitiveUI #DesignFirst #RoroSolutions

    • Intuitive UI
  • 查看Roro的公司主页,图片

    5,544 位关注者

    #MeetTeamRoro Meet Shamsul Zama, our Senior Software Engineer specializing in Shopify and Ruby on Rails who just hit his 2-year milestone with us! ?? When he's not solving complex problems, you'll find him soaking up nature, listening to stories, or finding peace in prayer after a busy day. Swipe the post below to get to know Shamsul better. #TeamRoro

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