Karthikeyan RathinamPro Prompt Engineer: Advanced Tips & Tricks for Efficient Prompt EngineeringEffective prompt engineering requires a deep understanding of how to structure input in ways that guide AI models to produce relevant and…Sep 11Sep 11
Karthikeyan RathinamLearn Streamlit: Creative ML Web Application building Streamlit is a popular open-source framework that allows you to build interactive web applications for machine learning and data science…Aug 23Aug 23
Karthikeyan RathinamExtracting Text and Images from PDFs using Python: A Step-by-Step GuideIn the digital age, the ability to extract text and images from PDF files is crucial for tasks such as document processing, data analysis…Aug 23Aug 23
Karthikeyan RathinamAll in one Code Review Standards: General Principles (ALL The Programming Language)Introduction to Code Review StandardsAug 21Aug 21
Karthikeyan RathinamThe Path to Becoming an OpenAI Prompt Engineer: A Comprehensive GuideIntroduction:Aug 17Aug 17
Karthikeyan RathinamMastering Google Colab: A Comprehensive Guide for Data ScientistsGoogle Colab is a cloud-based Jupyter notebook environment from Google Research.Apr 13Apr 13
Karthikeyan RathinamMastering Language Models: Elevate Your AI with Fine-Tuned LLaMA-2 Using Your Custom DatasetJust in touch with Karthikeyan Rathinam: Linkedin, GitHub, YoutubeMar 20Mar 20
Karthikeyan RathinamDemystifying Natural Language Processing: A Beginner’s Guidehands-on tutorial for Natural Language Processing (NLP) using Python and some popular libraries like NLTK (Natural Language Toolkit) and…Mar 111Mar 111
Karthikeyan RathinamPart 2 : Learn Python for Become an AI, ML, DL Developer/Engineer’s,Just in touch with Karthikeyan Rathinam: Linkedin, GitHub, YoutubeFeb 182Feb 182
