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Introduction to Python Programming for Data Science
Enhance your programming skills with a free Python course. Whether you're a beginner or experienced, this course.
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PyTorch Introduces torchtune: Simplifying LLM Fine-Tuning
PyTorch unveiled torchtune, a new PyTorch-native library that streamlines the process of fine-tuning LLMs. Here's its features & applications
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20+ Docker Commands for Building, Running, and Managing Containers
Discover 20+ Docker commands for building, running, and managing containers, enhancing your ability to deploy and maintain applications.
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Building a Modern App with TikTok’s “Depth Anything” Depth Estimation Model
Unlock creativity: Modern app development with TikTok's 'Depth Anything' depth estimation model for immersive experiences.
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Understanding Transformers: A Deep Dive into NLP’s Core Technology
Dive into the Understanding of Transformers and NLP. Explore the technology with this comprehensive guide.
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Understanding Overfitting in ConvNets
Learn about overfitting in ConvNets: causes, consequences, and solutions for optimized neural network training.
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Mastering Graph Neural Networks From Graphs to Insights
Mastering Graph Neural Networks (GNNs) implementation from basics, applications in social networks, drug discovery, and more.
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Enhancing RAG with Hypothetical Document Embedding
Transform RAG workflow with Hypothetical Document Embedding: Improve retrieval, reduce hallucinations, and use LangChain for efficiency.
Ajay 12 Apr, 2024
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Preprocessing Layers in TensorFlow Keras
Discover the power of TensorFlow Keras preprocessing layers for efficient data preparation in neural networks.
Mounish V 12 Apr, 2024
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Comprehensive Guide on Non Parametric Tests
Guide on hypothesis testing, parametric & non-parametric tests like Chi-Square, Mann-Whitney U, Kruskal-Wallis, with Python examples.
Janvi Kumari 09 Apr, 2024
