   ​ Various video labeling software are available in the market, and you should carefully select one based on your requirements.​ ​ Video content has emerged as the backbone for revolutionizing industries like self-driving vehicles, security, medicine, and AR. These industries mostly depend on machine learning models that need suitably annotated videos so that they can …
   ​ Learn about the importance of image annotation and what you should know to annotate image files for machine learning at scale.​ ​ The performance of computer vision algorithms is greatly influenced by the quality of the images used for the training and validation. Every image in your training dataset should have thoughtful and accurate …
How to Annotate Image Files for Machine Learning at Scale Read More »
   ​ Explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions and stay ahead of the competition.​ ​ Over the last few decades, the sheer volume of data we have gathered has reached over 100 zettabytes (ZB). Yet nearly 80% of the data we captured globally remains unstructured, while …
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   ​ Learn the best MLOps practices for deploying machine learning models to production.​ ​ Introduction: The Art of Deploying ML Systems Machine Learning is a complicated domain. Having these pieces of software running in a production environment is not trivial. There are several moving pieces in a Machine Learning System and each of them has …
Model Deployment: Types, Strategies and Best Practices Read More »
   ​ LLM gateway provides a central hub for accessing multiple models with added features like pre-processing and monitoring.​ ​ The rise of commercial LLMs like ChatGPT has transformed how businesses and industries integrate AI into their workflows. From UI/UX design to backend development and data analysis, AI, particularly LLMs and GenAI, has become essential for …
LLM Gateway: Key Features, Advantages, Architecture Read More »
   ​ Unstructured data is difficult to analyze and extracting meaningful insights and patterns is challenging. Learn to manage unstructured data for AI and ML.​ ​[[{“value”:” Much of the world’s data doesn’t conform to a particular structure. The day-to-day data exchange between humans is an example of this. The tweets we post on X don’t have …
How to Manage Unstructured Data in AI and Machine Learning Projects Read More »
   ​ Learn the importance of machine learning experiment tracking and how to implement it effectively to streamline your ML workflows.​ ​[[{“value”:” Machine learning workflows are a collection of multiple critical stages including data collection, preprocessing, model development, training, evaluation, and deployment. Each of these stages requires a thorough decision-making process starting from selecting preprocessing techniques …
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   ​ Improve your interactions with AI by learning all about prompt management for Large Language Models.​ ​ LLMs or Large Language Models have come a long way. They have become assistants in our day-to-day activities whether it is personal work like financial planning or professional work such as coding or analyzing data, LLMs are proficient …
   ​ Learn all about deploying Large Language Models (LLMs) safely and securely to protect sensitive data and prevent misuse.​ ​ Large Language Models (LLMs) are excellent tools that can do anything from producing text that sounds human to comprehending actual language. But immense power comes with great responsibility. It is important to deploy LLMs safely …
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   ​ Dror Haor, CTO of SeeTree, discusses AI-driven farm management and balancing accuracy with cost in agriculture on the MLOps podcast.​ ​ In this episode, Dean speaks with Dror Haor, CTO at SeeTree, about the challenges of deploying AI in agriculture at scale. They explore how SeeTree integrates AI and sensor fusion to manage vast …
🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor Read More »
