Categories: AI/ML Research

Mastering Summarization with ChatGPT

Last Updated on June 16, 2023 In this era of information overload, summarizing plays a crucial role in extracting meaningful information from large amounts of data. It is not only time-saving but also facilitates quick decision-making. However, manual summarization techniques of hiring human experts to read, analyze and summarize the data have become obsolete due […]

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Text Summarization with DistillBart Model

This tutorial is in two parts; they are: • Using DistilBart for Summarization • Improving the Summarization Process Let's start with a fundamental implementation that demonstrates the key concepts of text summarization with DistilBart: import torch from transformers import AutoTokenizer, AutoModelForSeq2SeqLM class TextSummarizer: def __init__(self, model_name="sshleifer/distilbart-cnn-12-6"): """Initialize the summarizer with…

March 9, 2025

In "AI/ML Research"

Mastering LLM Tool Calling: The Complete Framework for Connecting Models to the Real World

Most ChatGPT users don't know this, but when the model searches the web for current information or runs Python code to analyze data, it's using tool calling.

January 7, 2026

In "AI/ML Research"

RAG Hallucination Detection Techniques

Large language models (LLMs) are useful for many applications, including question answering, translation, summarization, and much more, with recent advancements in the area having increased their potential.

January 10, 2025

In "AI/ML Research"

AI Generated Robotic Content