Building a Multi-Task Model for Fake and Hate Probability Prediction with BERT
In this article, you will learn to build a multi-task model for probability prediction, fake and hate using BERT.
Mastering LLMs: A Comprehensive Guide to Efficient Prompting
Master the art of communicating with LLMs & AI systems by learning to write better queries and prompts using these prompting techniques!
Beyond Words: Unleashing the Power of Large Language Models
This blog delves into the fascinating world of large language models, exploring their underlying principles, astounding achievements, etc.
Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming
Uncover Netflix's data-driven strategies & content landscape through data analysis. Explore movies and TV shows & intriguing insights.
Unleash the Power of Prompt Engineering: Supercharge Your Language Models!
The power of prompt engineering has emerged as a technique to customize and control the outputs of language models using NLP.
The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling
Study the historical data and using advanced machine learning techniques and predictive modeling, predict player performance in the matches.
A Beginner’s Guide to MongoDB and CRUD Operations
Explore the fundamentals of MongoDB and delve into the essential CRUD operations that form the backbone of any database system.
An End-to-End Guide on Reinforcement Learning with Human Feedback
This end-to-end guide on Reinforcement Learning with Human Feedback covers its applications, challenges, and algorithms for RLHF.
