Evaluating Large Language Models (LLMs) is essential to ensure they meet the specific needs of diverse use cases while maintaining responsible AI practices. In this blog, we delve into...
Data modeling for graph databases has traditionally been a challenging task compared to relational databases, where entity-relationship diagrams (ERDs) provide a clear and standardized way to visualize the data...
In this blog post, I’ll explore our strategic evolution in advising a client within the asset condition monitoring sector. Our focus was on transforming complex machine data into intuitive,...
In this blog post, I will cover about how we created a natural language engine for a client with AWS Bedrock, Anthropic Claude 2 and Langchain. AWS Bedrock, ensures...
In the first part of the post, I discussed about taking part in a hackathon by building a Mediverse Bot, a Generative AI Medical Application, emphasizing the AWS innovation...
The value of insights derived from data diminishes rapidly over time, making speed a paramount business objective. Streaming data processing emerges as the solution, enabling businesses to instantly extract...
In the fast-paced world of technology, hackathons have become a breeding ground for innovation. They challenge participants to think outside the box, pushing the boundaries of what’s possible. Recently,...
Time series data is a critical component of many modern applications, including IoT, financial services, media & entertainment, and more. Managing and analyzing time series data can be challenging...
EMR (Elastic MapReduce) is a cloud-based service provided by Amazon Web Services (AWS) that allows users to process large amounts of data using distributed computing. It is designed to...
Amazon Rekognition is a machine learning service for image and video analysis. It provides a wide range of features to suit many image and video analysis use cases. Features...
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