In a recent fireside chat, Hailey Schoelkopf of EleutherAI highlighted the importance of open-source AI, distinguishing between open-source tools and open-weight models. She discussed EleutherAI’s evolution from grassroots efforts to a leader in AI research, the critical role of transparent evaluation, and the potential of multimodal and localized models. Nonprofit contributions, like EleutherAI's, help democratize AI, ensuring that cutting-edge tools remain accessible to diverse communities. Read the highlights here: https://hubs.la/Q02S_2MP0
Outerbounds
Software Development
San Francisco, CA 7,652 followers
Building the modern, human-centric ML infrastructure stack.
About us
Building the modern, human-centric ML infrastructure stack. Join the journey at slack.outerbounds.co
- Website
-
http://outerbounds.co
External link for Outerbounds
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2021
Locations
-
Primary
San Francisco, CA 94105, US
Employees at Outerbounds
Updates
-
Join us tomorrow morning at 9am PT for Outerbounds office hours! Whether you're working with our Outerbounds platform or our open-source version of Metaflow, our team is ready to help. Get a demo, ask questions, or discuss anything on your mind. Register here: https://hubs.ly/Q02T00hQ0
-
In a recent discussion with Hailey Schoelkopf from EleutherAI, we explored the deeper question of AI evaluation: What are we really evaluating, and who decides the standards? Hailey shared insights on the evolving landscape of AI research and why evaluation goes beyond just ROI and business value. As the field grows, the need for thoughtful, case-specific evaluations and questioning the top-down standards set by large organizations like Meta and Google is critical. Watch the full episode here: https://hubs.ly/Q02STdPx0
-
Join us for a fireside chat on October 22nd at 11am ET with Jacopo Tagliabue (Founder, Bauplan) and Hugo Bowne-Anderson as they discuss Reasonable Scale LLMs: Revisiting Foundational Principles in the Age of Generative AI. Learn how smaller, more manageable models can drive significant results without massive infrastructure, and explore key topics such as operationalizing AI, prioritizing data over modeling, and deciding when to build or buy LLM solutions. Register here: https://hubs.ly/Q02RVJd90
-
🎃 We’re excited to be heading to the Open Data Science Conference (ODSC) West in San Francisco from October 29 to 31st. If you're interested in attending and learning more about MLOps and AI infrastructure, we’ve got discount codes available! Reach out to us at hello@outerbounds.co for more info. You can find us at booth #20. We hope to see you there!
-
Outerbounds reposted this
⭐ The Future of Open-Source AI: A Sneak Peek with Hailey Schoelkopf from EleutherAI 🔭 Had an incredible conversation with Hailey Schoelkopf, a leading researcher at EleutherAI, where we explored the exciting future of open-source AI for Outerbounds. Before we dove into our fireside chat, we touched on current developments and what she’s most excited about in the rapidly evolving AI space. 🎙 Here’s a little bit about Hailey and what she’s working on: 👩💻 Who she is: Hailey works at EleutherAI, a nonprofit research lab focused on making large-scale AI, like LLMs, more open and accessible. 🛠️ What she does: Hailey spends a lot of time maintaining the LM Evaluation Harness, a tool for evaluating AI models. She loves seeing how the open-source community and researchers build on her work to push the field forward. 💡 🌍 What she's excited about for the future: - New ways of interacting with AI beyond just chat, including multimodal models and tools like molmo and o1. - Defining model limitations and strengths, and expanding how we use these technologies. - The rapid evolution of AI and the potential for breakthroughs in the next 6-12 months! ⚡ Check out the full conversation in the comment below! 👇
-
Why use NVIDIA NIM instead of building your own solution? Michael Balint explains the key advantages of NIM, from optimized performance to simplified deployment. It’s built to save time and resources while offering flexibility and control. For a more in-depth look at how NIM integrates with Outerbounds, check out our blog: https://hubs.ly/Q02SbXLq0
-
Outerbounds reposted this
🎙️ I loved speaking with Hailey Schoelkopf (EleutherAI) about The Future of Open-Source AI and Research Infrastructure for Outerbounds earlier this week. Hailey is deeply involved in research on Language Models at EleutherAI, with a focus on critical evaluation, efficient distributed training, and interpreting the inner workings of AI/ML systems. As a key contributor to widely used open-source projects like the LM Evaluation Harness and GPT-NeoX, Hailey plays a significant role in advancing open-source AI. 💫 This is what we covered. Link to livestream in comment 🔗
-
Outerbounds reposted this
📗 In this technical overview, learn how our NVIDIA NIM microservices and the Outerbounds platform together enable efficient, secure management of #LLMs and systems built around them. ➡️https://nvda.ws/3ZU4fmx ✨
-
Outerbounds reposted this
Are you on the dream stack? h/t Alexander Filipchik