The Hugging Face Transformers Library - Beginner's Guide and Chatbot UI with Gradio
Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.
Fine-tuning Large Language Models (LLMs) with Example Code
Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.
4 Ways to Measure Fat Tails with Python - Example Code and Analysis
Explore four methods to quantify fat tails using Python, including power law tail index, kurtosis, log-normal's σ, and Taleb's κ. Apply these techniques to real-world social media data analysis.
How to Improve LLMs with RAG - Overview and Python Code
Learn to enhance LLMs using Retrieval Augmented Generation (RAG). Explore its principles, implementation, and practical application in improving a fine-tuned model for YouTube comment responses.
Text Embeddings, Classification, and Semantic Search with Python Code
Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.
How to Deploy Machine Learning Solutions with FastAPI, Docker, and AWS
Deploy ML solutions using FastAPI, Docker, and AWS with a simple 3-step approach. Learn to create APIs, containerize applications, and deploy on cloud platforms for efficient machine learning deployment.
Compressing Large Language Models (LLMs) with Python Code - 3 Techniques
Explore three LLM compression techniques: quantization, pruning, and knowledge distillation. Learn to implement these methods with Python code examples for efficient model optimization.
Unify Project Demo - RAG Playground with LangChain
Explore a LangChain RAG Playground for document analysis, comparing LLM performance across providers for optimal speed, latency, and cost using dynamic routing.
Deep Dive: Ivy Framework Testing Implementation and Behavior - Tutorial 15
Explore Ivy Framework's testing implementation and behavior, gaining insights into its functionality and structure.
Deep Dive: Formatting in Ivy - Tutorial 10
Master Ivy formatting techniques to enhance code readability and efficiency in neural network development.
Frontend APIs: Adding Square Error Cost Function to Paddle Paddle - Tutorial 01
Explore Ivy's frontend API, implement square_error_cost function, and learn unit testing for Paddle Paddle frontend in this hands-on tutorial.
Project Valhalla Update - Value Classes and Null-Restricted Types in Java
Explore Project Valhalla's latest proposals for Java, including value classes and null-restricted types, to enhance performance while maintaining class-like functionality.
Insights and Experiences of Packaging Python Binary Extensions
Explore challenges and solutions for packaging Python binary extensions in scientific computing, focusing on portability and performance across diverse platforms.
Automatic Trusted Publishing with PyPI
Explore PyPI's Trusted Publishing feature for secure, automated package releases from CI/CD pipelines. Learn implementation details and recent expansions beyond GitHub.
Those Annotations Can Have Things Other Than Typing - Exploring Function Annotations Beyond Type Hints
Explore innovative uses of Python function annotations beyond typing, uncovering potential applications and their implications for code design and functionality.
Lessons Learned from Maintaining Open-Source Python Projects
Discover strategies for effectively maintaining multiple open-source Python projects while balancing work and personal life. Learn from a seasoned maintainer's experiences to avoid burnout.
Enterprise Python: Software That Lives Long and Prosper
Explore Python's unique advantages in building maintainable enterprise software. Learn strategies to leverage its features for creating scalable, long-lasting applications in complex organizational environments.
Test Java and C Applications with Python
Scopri come utilizzare Python per testare codice Java e C, riducendo i tempi di sviluppo e migliorando la copertura dei test per applicazioni legacy e servizi di rete.
Python's Journey: From Upstream to Enterprise
Explore Python's journey from initial release to enterprise systems. Learn about delivery speed, container usage for testing, and long-term maintenance challenges in Linux environments.
PEP 683 - Immortal Objects: A New Approach for Memory Management in Python
Explore Python's memory management, PEP 683's origins, and its impact on future developments like GIL changes and true parallelism. Gain insights into optimizing large-scale applications.
Python on the Rocks - Crafting a Smooth Blend with RocksDB
Explore RocksDB's internal workings and efficient data storage principles with Python. Harness its potential to elevate your applications' performance and capabilities.