Data preparation for AI-fueled Geospatial Analysis
Its been ages since businesses, governments, researchers, and journalists are using satellite data that helps understand the physical world and take action. As the geospatial industry evolves, so are the ways in which geospatial professionals use data to solve problems. Satellite imagery contains in...
06 February
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Text Analytics: Unlocking the power of Business Data
Due to the development in the use of unstructured text data, both the volume and diversity of data used have significantly increased. For making sense of such huge amounts of acquired data, businesses...
05 February
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Top 6 Computer Vision applications in Insurance sector
The world of insurance, a massive industry that employs millions, is undergoing a big change thanks to technologies like machine learning and computer vision. In recent times, these technologies have become more common in insurance, with new uses and applications popping up regularly.
Artificial...
03 February
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How Web Scraping leads the way for Ecommerce Insights?
In the ever-evolving realm of e-commerce, the importance of having a profound understanding of the market and an acute awareness of customer demand cannot be overstated. These two factors are like the...
01 February
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Data Collection for Machine Learning and AI
In order to build intelligent applications capable of understanding, machine learning models need to digest large amounts of structured training data. Gathering sufficient training data is the first step in solving any AI-based machine learning problem.
Data collection means pooling data by scrapin...
31 January
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Data Annotation Types to execute Autonomous Driving
Autonomous vehicles are still working towards reaching the stage of full autonomy. A fully functioning and safe autonomous vehicle must be competent in a wide range of machine learning processes before it can be trusted to drive on its own. From processing visual data in real-time to safely coordina...
30 January
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Difference between Generative AI, LLMs, and Foundation Models
In recent years, the field of artificial intelligence has witnessed remarkable advancements, particularly in the development of sophisticated language models that have transformed the way we interact with machines. Among the key players in this AI revolution are Generative AI, Large Language Model...
29 January
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Difference between Generative AI, LLMs, and Foundation Models
In recent years, the field of artificial intelligence has witnessed remarkable advancements, particularly in the development of sophisticated language models that have transformed the way we interact with machines. Among the key players in this AI revolution are Generative AI, Large Language Model...
29 January
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Data Annotation for Fine-tuning Large Language Models(LLMs)
The beginning of ChatGPT and AI-generated text, about which everyone is now raving, occurred at the end of 2022. We always find new ways to push the limits of what we once thought was feasible as technology develops. One example of how we are using technology to make increasingly intelligent and s...
27 January
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The Evolution of Generative AI and its applications
In today's rapidly evolving world of artificial intelligence, generative AI has taken center stage and captured the attention of both technology enthusiasts and industry professionals. With the rise of powerful algorithms and advanced machine learning techniques, applications like ChatGPT have bec...
24 January
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Web Scraping for Recruitment: Best Practices, Benefits, and Use Cases
The recruitment landscape is undergoing a transformative shift, with technology playing a pivotal role in shaping the way organizations identify and acquire talent. In recent years, web scraping has emerged as a powerful tool for recruiters, offering a plethora of advantages in terms of efficiency...
23 January
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How does Reinforcement Learning from Human Feedback work?
In the dynamic realm of artificial intelligence, the integration of Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial strategy to enhance machine learning algorithms. RLHF int...
19 January
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What is Content Moderation and types of Moderation?
Successful brands all over the world have one thing in common: a thriving online community where the brand’s fans and influencers engage in online conversations that contribute high-value social...
19 November 2023
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Computer Vision is transforming Security Surveillance
Security Cameras without Intelligence
Surveillance is an essential aspect of security and patrol operations. For the most part, the work means spending long stretches of time on the lookout for somet...
17 November 2023
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AI in Insurance How it works and use cases
The insurance industry leads the way in its AI implementation. For each and every insurance actor, artificial intelligence and image recognition present opportunities to offer an enhanced user experie...
08 November 2023
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What is Synthetic Data Generation and its importance for AI
The success of AI algorithms relies heavily on the quality and volume of the data. Real-world data collection is costly and time-consuming. Furthermore, due to privacy regulations, real-world data can...
07 November 2023
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