Significance and Applications of Edge AI
Significance and Applications of Edge AI “Edge AI : Designing Today & Future” In the era of rapidly growing & changing AI technology day by day, we need a solution to cater the [...]
OpenAI Launched GPT-4 Turbo
OpenAI has Launched GPT-4 Turbo with 128k Context, Customizable ChatGPT Agents, and Enhanced APIs In a groundbreaking move, OpenAI has unveiled a suite of transformative AI advancements that are set to reshape the [...]
Time Series Data Exploration with Wavelet Transform
Time Series Data Exploration with Wavelet Transform Time series data provides time domain information and Fast Fourier Transform provides frequency domain information only. What if you wanted both, for example you may be interested [...]
The Multi-Faceted Journey of Determining ML Model Success Criteria
The Multi-Faceted Journey of Determining ML Model Success Criteria In the world of Machine Learning (ML), defining the success criteria for your models is a crucial but often complex task. Many people tend [...]
Customization of LLM ChatBots with Retrieval Augmented Generation
Customization of LLM ChatBots with Retrieval Augmented Generation For many domain specific business application the pre trained LLM is not enough. Customization is necessary. Out of the box pre trained black box models, even [...]
Machinery Fault Detection with Vibration Data Anomaly Detection using Variational Auto Encoder
Machinery Fault Detection with Vibration Data Anomaly Detection using Variational Auto Encoder Auto Encoder is a unsupervised Deep Learning model. Data is encoded to a lower dimensional latent space using an encoder network. [...]
Stock Portfolio Balancing with Monte Carlo Simulation
Portfolio balancing is a complex optimization problem. The problem can be stated as assignment of weights to different stocks in the portfolio so that a metric called Sharpe Ratio is maximized. In this post we will [...]
Pricing Policy Evaluation and Comparison with Temporal Difference Learning
There are two main kinds of problems in Reinforcement Learning (RL), evaluation of a policy aka the prediction problem and finding the best policy aka the control problem. A policy dictates the action to be taken given [...]
