Why I'm Staying Away from Crew AI - A Critical Analysis
Explore limitations of Crew AI for production, understand multi-hop questions, and learn alternative approaches for building AI applications. Gain insights on future multi-agent frameworks.
Building Custom AI Agents: Beyond CrewAI and AutoGen
Develop a custom web search AI agent in Python. Learn why building your own agents can be more effective than using existing frameworks for AI and multi-agent workflows.
Build Your Own Local "Perplexity" with Ollama - Deep Dive
Develop a custom web search agent running locally using Ollama and Llama 3. Learn to build, test, and compare with different models in this comprehensive technical deep dive.
LangGraph Simplified: Master Custom AI Agent Creation - Web Search Agent Tutorial
Simplify LangGraph concepts and create a custom web search AI agent through a Python tutorial. Learn core principles and practical implementation for AI development.
Meta-Prompting Technique for Building High-Level AI Agents
Explore meta-prompting techniques to build flexible AI agents. Learn implementation, web search integration, and evaluate strengths and weaknesses of this powerful prompt engineering approach.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Scalable Feature Engineering with Hamilton on Ray
Explore scalable feature engineering using Hamilton and Ray at StitchFix. Learn declarative dataflow, team scaling, and efficient computation for thousands of time-series features.
The Cryptography Packages in Julia: What is Missing?
Explore Julia's cryptography ecosystem, comparing it to other languages and identifying areas for improvement to enhance adoption beyond scientific computing.
The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction
Automate machine learning model development for materials property prediction using MAST-ML. Learn data import, feature engineering, model evaluation, and uncertainty quantification through hands-on activities.
Automating Distributed Heterogeneous Computing for Domain Experts
Explore new approaches for enabling domain experts to program future HPC systems efficiently, focusing on compiler and runtime techniques for distributed heterogeneous computing.
Portable High-Performance Python on CPUs, GPUs, and FPGAs
Optimize Python for high performance on CPUs, GPUs, and FPGAs. Learn HPC-oriented extensions, automatic optimizations, and portable performance techniques across architectures.
Productive Performance Engineering for Weather and Climate Modeling with Python
Optimize weather and climate models using Python-embedded DSL and data-centric techniques. Improve productivity and performance through abstraction, semi-automated workflows, and transfer tuning for efficient scaling on supercomputers.
ME3255 - Rocket Science Solutions with Python
Explore rocket science solutions using Python, covering advanced concepts and practical applications in aerospace engineering.
Complete Roadmap for Backend Software Engineers
Master backend software engineering with a comprehensive roadmap covering essential topics from operating systems to containerization.
Python AI Voice Assistant - Full Tutorial
Build a Python AI voice assistant using LiveKit and OpenAI. Learn architecture, setup, and implementation of voice recognition, text-to-speech, and AI agent functionality in this comprehensive tutorial.
Machine Learning Models to Interpretable Rules
Explore interpretable machine learning with rulelists and rulesets. Learn hands-on use cases using 'imodels' and 'tidyrules' packages, and discover how to convert rulesets to SQL for production.
Building a Data Visualization App for Mobile Phones Using Python
Learn to create mobile data visualization apps using Python tools like NumPy and Matplotlib, without needing specialized mobile development skills.
Reverse Engineering Python Binaries - There and Back Again
Uncover Python bytecode secrets: Learn to interpret and decompile .pyc files, explore challenges in automated decompilation, and gain insights into recovering source code from bytecode.
Using Python to Assess Landslide Risk: A Matter of Life and Death
Exploring Python's role in analyzing landslide risk in Southeast Alaska, showcasing how data analysis can create a community-driven early warning system for potential disasters.
Open Source Industrial Control: Turning 2,800 Tons of Metal with Python and Flask
Discover how Python and Flask revolutionize hydropower generator maintenance, enhancing safety and efficiency in turning massive rotors with precision for the Bureau of Reclamation's operations.
The Design of Everyday APIs - Principles of Good API Design
Explore principles of good API design: simplicity, consistency, and flexibility. Learn to create ergonomic APIs through real-world examples and iterative improvements for delightful user experiences.