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We've built a set of Hugging Face templates that make it super simple to use the latest and greatest in open-source ML. These templates are available through the Valohai Ecosystem.

The key takeaways from a presentation by Andres Hernandez, Principal Data Scientist at KONUX, about how their team streamlines operations utilizing the Valohai datasets feature.

Collecting, cleaning and labeling data is one of the most time-consuming problems in data science and this is especially true in NLP. Recently, we've seen data scientists utilize large language models such as OpenAI's GPT-4 to help produce datasets to train smaller NLP models that solve a more specific task.

With the popularization of LLM's developers and product folks are flocking to the space and testing out novel concepts. How will LLM products evolve over time?

In 2020, Forbes estimated the market of MLOps solutions is expected to reach $4 billion by 2025. The recent Venture Beats article claims it will grow to over $6 billion by 2028. Let's look at what is the driving force for the demand of MLOps.

Hannes is working on making voice the new touch: ubiquitous and intuitive for everyone. Together with his team Hannes is pioneering not only voice interfaces but also voice moderation problem.

LLMOps focuses on the operational capabilities and infrastructure required to fine-tune existing foundational models and deploying these refined models as part of a product.

The Valohai Ecosystem is a library of templates that enable users to kick off their projects with ease and reduce the amount of boilerplate code that needs to be written.

As a Senior Research Engineer at Valeo Cyril Poulet is working on creating a robust understanding of what is happening outside the vehicle through intelligent sensors and cameras that can detect objects, lanes, and parking spaces.

Wherever machine learning pioneers break new ground on an unforeseen scale, the curse of dimensionality lurks behind the corner. David Eriksson holds a black belt in unwrapping black boxes and compressing a wide range of large-scale models into edge devices.

Daniel Levai from UprightProject is pioneering the measurement and comparison of the net impact of companies and products using an uncompromising scientific approach. His model truly stands out due to its ability to factor in the impact of the entire global value chain.

The pioneers' journey will be full of sidestepping, u-turns, and zigzags. No organization can exactly know where they'll end up, but we will help you to get there. Valohai developer core will keep all paths open, just in case you need to change course.

Tapio Friberg is on a bold mission to continuously monitor the entire globe. He has made it possible to have a reliable around-the-clock observation of the Earth's surface through the constellation of small and affordable SAR satellites.

With Valohai, rapid experimentation, massive grid searches, complex multi-cloud pipelines, distributed learning clusters, and model deployment are all a single click (UI), a single command (CLI), or a single request (API) away and handled by the battle-hardened orchestration system.

Valohai integrates into your code repository, container repository, data storage, and compute resources - in the cloud and on-premise - orchestrating and recording their complex interplay. This way, the bookkeeping is fully ingrained into the machine learning workflow and something the pioneers don’t even need to think about conscientiously.