A chat with Idan Gazit, Senior Director of Research at GitHub Next, where we discuss his work at GitHub Next, the future of AI products and interfaces, and how to get AI products to production In this episode, Idan Gazit, Senior Director of Research at GitHub Next, discusses his role in exploring strategic …
🌊 AI-Native with Idan Gazit – The future of AI products and interfaces Read More »
Get a solid understanding of the benefits of LLM fine-tuning, common tricks, and techniques for fine-tuning LLMs. LLMs exist to be fine-tuned. Fine-tuning is the process that transforms a large language model from a generic predictive resource to one that is fully differentiated with respect to an organization’s unique datasets. To make an …
Explore ML model testing and tools specifically designed for testing ML models, which will significantly enhance your ML pipeline. [[{“value”:” Machine learning, particularly its subsets, deep learning, and generative ML, is currently in the spotlight. This surge in interest from both businesses and the general public has been fueled by the excitement around latest …
Top 5 Machine Learning Model Testing Tools in 2024 Read More »
MACSO, a leader in AI for edge computing, credits DagsHub for revolutionizing ML operations, enhancing collaboration, and efficiency. Intro In the rapidly evolving field of machine learning (ML) and artificial intelligence (AI), startups like MACSO are at the forefront of innovation, pushing the boundaries of what’s possible with AI on edge devices. A …
Understand common pitfalls, and create strategies to avoid them, and develop robust, scalable, and efficient database infrastructure. Introduction The use of vector databases within modern applications is steadily increasing, especially in the era of generative AI. With the increased adoption of vector databases, it becomes even more important for IT leaders and decision-makers …
Common Pitfalls To Avoid When Using Vector Databases Read More »
Understand the role of each tool to design and deploy robust ML pipelines that drive business impact and foster innovation. If you are a Marvel fan, you might know that killing Thanos does not guarantee a safer world as there are other villains to deal with. Source: https://in.mashable.com/entertainment/24645/every-marvel-movie-villain-ranked Similarly, while building any machine …
How to choose MLOps tools (MLOps from first principles) Read More »
Dean talks with Uri Goren about the future of digital ads without cookies. They discuss challenges in personalization while maintaining privacy and explore new methods like probabilistic models and contextual features. In this episode, Dean chats with Uri Goren, founder and CEO of Argmax, about Machine Learning and the future of digital advertising …
🍪 Machine Learning in the cookie-less era with Uri Goren Read More »
Explore the top computer vision generative models of 2024 with our in-depth guide and improve team productivity and efficiency. Intro Welcome to the comprehensive guide on the top computer vision generative models of 2024. As businesses continue to harness the power of generative AI, the impact on productivity and efficiency is undeniable, with …
Explore the top ML workflow and pipeline tools, including tools from Netflix, to enhance your data science projects’ efficiency and impact. Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning …
7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024 Read More »
DagsHub launches Storage Buckets, integrating S3-Compatible, ML-focused storage with Google Colab for scalable data management in large-scale ML projects. Simplify your ML development cycle with our easy-to-use solution. [[{“value”:” TL;DR We’re launching DagsHub Storage Buckets – An S3-Compatible, easy to use, and ML focused storage – which is integrated with Google Colab for easy and scalable …
