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Precision & Recall - Evaluation metrics To fine true positive Prediction
May 06, 2025.
Precision and Recall are key evaluation metrics in machine learning that help measure how well a model identifies true positives.
RAG Fine Tuning and RAFT Explained
Jun 04, 2024.
In the realm of large language models (LLMs), techniques like in-context learning (ICL), retrieval augmented generation (RAG), fine-tuning, and retrieval augmented fine-tuning (RAFT) are revolutionizing how these models process information and generate responses. These techniques address key challenges such as scalability.
Database Fine Tuning - Best Practices And Examples
Feb 10, 2023.
In this article, you will learn about Database Fine Tuning - Best Practices and Examples.
Leadership Challenge 013 - Alan Fine - Breakthrough Performance
Jul 10, 2019.
In this article you will learn about Alan Fine - Breakthrough Performance.
Fine-Tuning Azure OpenAI Models with Domain-Specific Data
Dec 12, 2024.
Learn how to fine-tune Azure OpenAI models with domain-specific data to enhance performance for industry-specific applications.
Fine-Tuning in Machine Learning
Jul 31, 2024.
This is one of the great techniques in machine learning, because it reused the pre-trained model and made it efficient for a new task with good accuracy. It also reduced the work of training a new model.
Learn Fine-Tuning Llama 3.1
Jul 31, 2024.
This article provides a step-by-step guide on fine-tuning the Llama 3.1 language model using Python and the Hugging Face Transformers library. It includes code examples, explanations, and best practices for achieving optimal performance.
Re-training is Fine-tuning: Yes or No?
Jul 11, 2024.
This content explores the nuances between re-training and fine-tuning in the context of machine learning and neural networks. It examines whether re-training can be considered a form of fine-tuning or if they are distinct processes.
Fine-Tuning Hyperparameters using Hyperdrive in Azure Machine Learning SDK
Jun 22, 2023.
Should We Train Our Own LLMs or Use Existing Ones via APIs?
Jun 13, 2025.
Learn whether to train your own LLM or use existing APIs, with pros, cons, cost considerations, and expert tips to guide your enterprise AI strategy.
🎥 Sentiment Analysis on IMDb Using BERT and Hugging Face
Jun 05, 2025.
Learn how to fine-tune BERT for sentiment analysis using the IMDb dataset with Hugging Face Transformers. Includes Python code, attention visualization, and Gradio deployment.
📃 Text Summarization with T5 and Hugging Face Transformers
Jun 06, 2025.
Learn how to build a text summarizer with T5 and Hugging Face. Step-by-step Python tutorial with code, Gradio interface, and fine-tuning tips.
Named Entity Recognition (NER) with spaCy and Transformers
Jun 06, 2025.
Learn how to use Named Entity Recognition (NER) with spaCy and transformer models like BERT to extract people, places, and organizations from text with high accuracy.
How to create a Binary File in C#
Jul 12, 2012.
How to create and write to a binary fine using C# and .NET. The System.IO.BinaryWriter class is used to write binary data to a stream. This class also provides an option to specify the character encoding including ASCII, Unicode, UTF32, UTF7, and UTF8 encoding.
Delete Temporary Files in Windows 8
Jun 07, 2012.
This article describes how to delete temporary files in Windows 8.
PermissionSet Class In C#
Mar 26, 2010.
The PermissionSet class in C# is a fundamental component of .NET security that allows developers to encapsulate a set of permissions for code execution. It enables the definition and management of fine-grained permissions required by an application to access various system resources and perform specific operations. With PermissionSet, developers can control actions like file operations, registry access, and network communication within the application's security context. By specifying the permissions a code segment needs, developers can enforce security policies, ensuring that the application runs securely and only performs authorized actions.
Oracle Data Provider for .NET : Part IV
Feb 20, 2004.
Oracle Data Provider for .NET (ODP.NET) is an implementation of a data provider for the Oracle database. ODP.NET uses Oracle native APIs to offer fast and reliable access to Oracle data and features from any .NET application.