Pienso

Building AI teams can differ significantly from how we traditionally have thought about software development and managing people. Pienso Talent coach Amy Robertson explores how Pienso strategically integrates neuroscience insights with building AI teams, fostering resilience, psychological safety, and continuous innovation in AI development. Amy also has a rich background in linear algebra, differential equations, and code-breaking! Learn more about cultivating adaptable AI teams below. https://lnkd.in/dRac_7E2

If you have experienced mild trauma using LLMs for production workloads in your enterprise, you might be interested in revisiting a timeless human-computer-interaction debate since the 1980s. Our new blog post by Sonia Wu explores the enduring creative tension between direct manipulation and interface agents. We reflect on how these approaches continue to inform the design of modern AI systems and offer guiding principles for creating transparent, user-centered interfaces. Join us at our upcoming ACM IUI 2025 Workshop on Mixed-Initiative Interface Design, where we will delve deeper into balancing intuitive user control with intelligent assistance. Mixed-initiative design can shape a future where human-AI collaboration is empowering and innovative. We will be joined by luminaries from the Massachusetts Institute of Technology, Carnegie Mellon University, and practitioners from Google DeepMind, Amazon, Apple and beyond. Blogpost: https://lnkd.in/e5XjUwYM IUI MIND Workshop: https://lnkd.in/ejmMPEAq

Pienso is at HumanX's summit in Las Vegas this week. Join our CEO Birago Jones as he talks about aligning human expertise with AI infrastructure and why this is critical to move beyond a graveyard of genAI PoCs for enterprises. He will be joined by Stephen Messer of Collective[i], Soyoung Lee of Twelve Labs, Greg Shove of Section, and Ryan Kolln of Appen. https://lnkd.in/eQhUPvX2

Congratulations to Liqid customer, Pienso, on its launch of Pienso Faun. Powered by Liqid software-defined composable infrastructure, and in partnership with NVIDIA and Dell Technologies, Pienso Faun uses composable bare-metal infrastructure to support their vision: a garden of small language models waiting to be sculpted by the non-technical enterprise user, carefully optimized and deployed for fast inference and robust quality. Pienso Faun delivers on premises AI infrastructure and a smarter way for organizations to build and deploy their own language model garden. Now, enterprise teams can dynamically compose GPUs, CPUs, and storage on demand into a solution that is integrated with a garden of smaller language models. Pienso Faun lets enterprises create, experiment, and deploy AI models based on actual needs and workloads. The result is optimized language model performance, balanced with powerful, agile, and efficient infrastructure that eliminates the risk of costly over provisioning and ensures seamless hardware upgrades. Congratulations again. We’re excited about composing the future together. (link to Pienso's announcement blog in comments) #aiinfrastructure #liqid #composableinfrastructure

Announcing Pienso Faun, a next-generation composable bare metal infrastructure solution that integrates a garden of smaller, carefully optimized language models with agile, cost effective AI performance. Developed in partnership with Dell Technologies, Liqid, and NVIDIA, Pienso Faun empowers enterprise teams to dynamically compose GPUs, CPUs, and storage on demand. By eliminating the risk of costly overprovisioning and ensuring seamless hardware upgrades, Pienso Faun delivers a truly future proof approach to generative AI at scale. Explore how this new offering redefines on premises AI infrastructure and discover a smarter way to build and deploy your own model garden. https://lnkd.in/eN22BBiy

🚀 Introducing Pienso GDI: Generative Document Intelligence After weeks of intense design, optimization, and refinement, we're thrilled to launch Pienso GDI—a breakthrough in Generative Document Intelligence built using components of the powerful Pienso platform. For organizations processing invoices, contracts, insurance policies, and other complex documents, traditional Intelligent Document Processing (IDP) solutions have fallen short—requiring months of setup, costly training, and endless maintenance. They struggle with format variations, low accuracy, and rigid workflows that break down when documents change. Pienso GDI changes that. 🔹 No training data required – Works across all document formats out of the box. 🔹 Unmatched accuracy – Handles tables, OCR, and complex layouts effortlessly. 🔹 Faster deployment – Get up and running in weeks, not months. 🔹 No volume-based pricing – Use it without unpredictable costs. Powered by a Society of LLMs that collaborate with each other, sophisticated prompt engineering, and custom AI chains, Pienso GDI eliminates the inefficiencies of traditional IDP while offering unprecedented flexibility. If your business is tired of slow, expensive, and error-prone document processing, let’s talk. Read more here: https://lnkd.in/ennEa6s3 #AI #LLM #Automation #DocumentProcessing #GenerativeAI #PiensoGDI

🚀 Join Us for the MIND Workshop @ IUI'2025! 📅 Date: March 24, 2025 We've always believed that interface design, which is the middle path between Agents and Direct Manipulation, is the central way in making any AI harnessable by everyday people. Explore the future of mixed-initiative design for Large Language Models (LLMs) to address challenges like hallucinations, unpredictability, and lack of transparency. This workshop brings together experts from Google DeepMind, Amazon, Microsoft, Adobe, Massachusetts Institute of Technology, Carnegie Mellon University, and more -- folks passionate about blending HCI, IUI, and AI to design empowering, user-centered interfaces that blend agent-based and direct manipulation paradigms. 📌 Key Dates: Submission Deadline: January 22, 2025 (AoE) Acceptance Notifications: February 14, 2025 Learn more and submit your work: https://lnkd.in/ejmMPEAq Let’s shape the future of interactive AI together! 🌍 #IUI2025 #AIUX #MixedInitiativeDesign

As scaling plateaus for LLMs receive more widespread attention, "bigger is better," is now confronting a potential plateau in generative AI deployments too. While the industry remains heavily invested in scaling up large language models, the approach faces real-world limits — from massive energy consumption to finite data availability. At Pienso, we’re pioneering alternative paths for practical AI applications. "There's such an appetite for AI that’s practical and real, not a pie-in-the-sky promise," says Pienso's co-founder Karthik Dinakar as he talks to Axios's Managing Editor Alison Snyder. "You can’t GPT your way out of this." As the industry recalibrates, we've always been committed to smaller, more focused LLMs that offer meaningful, reliable & production-caliber impact for enterprise use-cases. Read story here: https://lnkd.in/ex9TE3EE

🏆Nuance and context are everything when it comes to training #AI models. Working with enterprise domain experts who have the strongest understanding of their data should be the only way models are trained. 

According to VentureBeat’s Matt Marshall, enterprise adoption of open-source #LLMs might be outpacing closed-source models, taking on big players in the industry 👀. We’ll admit that we’re a little biased — but open-source models truly are the secret to unlocking AI’s value for your enterprise. Not only can they be “made-to-measure,” they also offer complete transparency — ensuring that the model you build is trustworthy and customized to your enterprise. #OpenSourceAI