LLM — Evaluation MetricsLarge language models are difficult to evaluate due to their non-deterministic and language-based outputs. Metrics like ROUGE and BLEU…Jan 25, 2024Jan 25, 2024
Powerful ways to remove hallucinations in prompt engineeringLarge language models (LLMs) are extremely useful tools, but they have some limitations in their knowledge and reasoning abilities that…Jan 14, 2024Jan 14, 2024
An Introduction To Different Prompting TechniquesPrompt engineering is an emerging field that involves carefully designing and optimizing prompts to get the most effective performance out…Jan 6, 2024Jan 6, 2024
Prompt Engineering for Large Language ModelsPrompt engineering is the systematic design and optimization of prompts to guide large language models (LLMs) to generate desired outputs…Dec 30, 2023Dec 30, 2023
Building forecasting model using Vector Autoregression (VAR)In this blog post, I have described how to build a forecasting model using Vector autoregression(VAR).Apr 25, 2021Apr 25, 2021
Getting started with Exploratory Data AnalysisIn statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using…Apr 20, 2021Apr 20, 2021
How to use Sagemaker endpoint for real time scoring?Once we have trained our ML model on Sagemaker. We need to host this model for scoring it as a real-time application. Along with the…Apr 13, 2021Apr 13, 2021
Getting started with NumpyNumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object…Mar 22, 2021Mar 22, 2021