You must manage your computer vision projects well to ensure success. Let’s discuss five best practices for building scalable and future-proof computer vision projects and how to avoid some common mistakes. Since the launch of the ImageNet dataset, computer vision has become mainstream in a rapidly evolving technical landscape. It helped build applications …
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In this episode, Dean and Han-Chung Lee explore the latest in NLP and AI trends. They discuss blending old and new tech, making complex AI insights accessible. Perfect for a quick dive into AI’s future, without the jargon. In this episode, Dean and Han-Chung Lee dive into the buzz around natural language processing and the …
Overcome common pitfalls in computer vision projects for successful deployment and robust AI models. Managing a computer vision project is not easy. There’s lots of moving factors that you need to evaluate before you deploy it onto production. For instance: Managing your dataset correctly in training and testing.Preprocessing your data properlySelecting the right …
Object detection is an essential area of computer vision and artificial intelligence, which lets computer programs “see” their environment by recognizing things in pictures or videos. The advancements in deep learning have resulted in exceptional precision rates for object detection. Object detection is an essential area of computer vision and artificial intelligence, which …
In this episode, Dean speaks with Jason Liu about LLM applications, their challenges, and how to overcome them. They also dive into Instructor, making LLMs interact with existing systems and a bunch of other cool things. In this episode, Dean speaks with Jason Liu, an applied AI consultant and the creator of Instructor …
⏪ Making LLMs Backwards Compatible with Jason Liu Read More »
Version control is critical for every machine learning project. Learn what you need to version, when and how in this blog Version control is like a time-traveling tool for your work. It keeps track of every change, allowing you to go back to any version, check what’s different, and even undo changes if …
A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool for machine learning. A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. Best 8 data version control tools for 2023 (Source: DagsHub) Introduction With business needs changing constantly and the …
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Learn how Mana.bio, an AI-based drug delivery startup, creating a platform for mRNA-based therapeutics, vaccines, and gene therapy, used DagsHub to enhance their operational efficiency, reduce time for POCs and increase their confidence in experiment reproducibility. Learn how Mana.bio, an AI-based drug delivery startup, creating a platform for mRNA-based therapeutics, vaccines, and gene …
Case Study: Mana.bio – Reproducing results & accelerating experimentation Read More »
When working with domain experts on a machine learning project, using an active learning pipeline can help save money and time. This case study goes through the steps and considerations when working with external specialists. Historically, implementing an active learning pipeline has been something only within reach for corporations with large budgets for …
DagsHub provides a free remote MLflow Tracking server for experiment tracking and model registry with every repository. DagsHub provides a free remote MLflow Tracking server for experiment tracking and model registry with every repository. DagsHub integration with MLflow MLflow, an open-source tool for managing the machine learning lifecycle, enables real-time tracking of various …
Free Remote MLflow Tracking Server with Team-base Access control Read More »
