neptune.ai

A 2-minute demo showcasing how neptune.ai supports teams that train foundation models. Haven't heard about Neptune before? TL;DR: It's an experiment tracker built to support teams that train large-scale models. Neptune allows you to: → Monitor and visualize months-long model training with multiple steps and branches. → Track massive amounts of data, but filter and search through it quickly. → Visualize and compare thousands of metrics in seconds. You get to the next big AI breakthrough faster, optimizing GPU usage on the way. If you want to learn more, visit: https://buff.ly/4cXZGep Or play with a live example project here: https://buff.ly/3WlPVQg

What if you could explain your AI research to anyone—and win a NeurIPS 2024 ticket for it? We’re giving you the chance. Break down your foundational model training research for three different audiences and levels of complexity: • For a 1st or 2nd grader – use simple words and easy examples. • For a high school or university student – explain assuming basic knowledge. • For a peer AI researcher – focus on detailed technical depth. Get the details and apply here: https://buff.ly/3zY3Jcp #NeurIPS #llm #largelanguagemodels #generativeai

Hey, professors and students! Do you know that Neptune’s free for academic research? No backend setup required – just sign up, add a few lines of code to your training script, and you’re all set. Teach and learn best practices for tracking real-life projects. Check out our free program: https://buff.ly/47dzgTU #generativeai #genai #llm #ml #researchers

The shift from traditional ML to LLMs has pushed infrastructure requirements to new limits. At neptune.ai, we’re tackling these challenges by focusing on: → Scalable infrastructure, built to handle high-speed data ingestion and processing. → Real-time data display, adapting seamlessly to complex and large volumes. → Consistent UX quality, even under intense backend demands. — (link to the full interview in the comments) #generativeai #genai #llm

You use the experiment tracker to monitor and analyze your model training, right? But to do it, you should be able to visualize the data accurately. You shouldn’t have to download your data just to view it all. Neptune’s visualization charts show you every anomaly in your experiments — even if you log 1,000,000 data points to a single experiment. Spike-shaped shadows on the charts indicate the positions of the anomalies in the data. Simply zoom in to discover exactly what went wrong. See what it looks like in a live example project (no registration needed): https://buff.ly/3BVlCsU #generativeai #genai #llm

We asked Sophie Z.: What are some LLM challenges you face in your projects? Here is the answer (tl;dw): → Fine-tuning LLMs remains a 'black box'—understanding what’s really happening under the hood is difficult. → Lots of LLM applications are lacking long-term memory. Solving this issue is essential for more reliable and context-aware models. #generativeai #genai #llm

Researching foundational model training? Here’s your chance to showcase your research and win a NeurIPS 2024 ticket! How? Participate in a 30-minute video interview and break down your work at three different levels of understanding. Each level will be a chance to show your creativity and passion for research. Once all interviews are completed, a winner will be selected and announced on November 12, 2024. Take a look at our last campaign → The 100-Second Research Challenge: https://buff.ly/4h5wjcL And for more details, visit: https://buff.ly/3zY3Jcp #NeurIPS #llm #largelanguagemodels #generativeai

When dealing with complex systems for training large models, something will always go wrong. With software, hardware…or both. Or data, or hyperparameters. There are probably tens of different reasons. So, you may train a massive model for weeks or months, but you’ll have to restart the training job many times. Visualizing and analyzing such training is a challenge. That’s why we developed a capability called forking. When you restart failed training sessions, you can view your entire run tree in a single chart. And you can toggle on and off your experiment’s inherited training history with one click. See an example in Neptune: https://buff.ly/3NNocnP For now, forking is available in Neptune Scale, our upcoming product release. Join our beta program: https://buff.ly/4eCFUpz #generativeai #genai #llm

NeurIPS 2024 is just around the corner, and we’re giving away a FREE ticket! If you're an AI researcher working on foundational model training, here's how to enter: 1. Submit your application by following the instructions here: https://buff.ly/3zY3Jcp 2. Expect a response within 7 business days. We'll arrange a 30-minute online interview where you'll explain your research at three different levels of complexity. 3. The winner will be announced on November 12, 2024, after all interviews are completed. Good luck! #NeurIPS #llm #largelanguagemodels #generativeai

Hey academic researchers – would you like to optimize the usage of your limited GPUs? You can do it with Neptune, for free. Monitor experiments and compare metrics in real time, reacting quickly to failed runs and divergences. As a bonus, you’ll have all your data in one place, which means easier reproducibility and collaboration with your research group. Check our free academic research program: https://buff.ly/47dzgTU #generativeai #genai #llm #ml #researchers