LLMs & ModelsIntermediate

Migrate TensorFlow LLM to PyTorch for Better Performance

Migrate your LLM from TensorFlow to PyTorch for improved performance and compatibility, and learn how to avoid common pitfalls in the process.

ACAlex·25 minRead →
AI AgentsAdvanced

Optimizing AI Agent Policies with Reinforcement Learning

Reinforcement learning optimizes AI agent policies in complex environments, skip the theory and focus on production-grade solutions

MLMarcus·25 minRead →
LLMs & ModelsIntermediate

Monitoring AI Model Performance with Prometheus and Grafana

Monitor AI model performance using Prometheus and Grafana, key to scalable AI systems

SKDr.·25 minRead →
LLMs & ModelsIntermediate

Developing AI Content Generation with LLMs and SpaCy

Learn to develop AI-driven content generation systems using language models and spaCy, optimizing for production-grade environments.

SKDr.·25 minRead →
LLMs & ModelsAdvanced

Securing LLM APIs with OAuth and JWT

Secure your LLM APIs with OAuth and JWT authentication using FastAPI and MongoDB, a production-ready solution

MLMarcus·25 minRead →
RAG & SearchIntermediate

Scalable AI Data Pipeline with Apache Beam

Design a scalable AI data pipeline with Apache Beam and Google Cloud Storage for production-grade AI engineering

ACAlex·25 minRead →
LLMs & ModelsIntermediate

Integrating LLMs with Graph Databases using Amazon Neptune

Learn to integrate Large Language Models with graph databases using Amazon Neptune and PyTorch Geometric for enhanced AI capabilities.

ACAlex·25 minRead →
APIs & BackendsIntermediate

Building AI Chatbots with DialogFlow and Node.js

Build an AI-powered chatbot using DialogFlow and Node.js, a powerful combo for conversational AI

ACAlex·20 minRead →
LLMs & ModelsIntermediate

Automating Hyperparameter Tuning for LLMs with Azure ML

Automate hyperparameter tuning for large language models using Azure Machine Learning, improving model performance and efficiency

SKDr.·25 minRead →
AI AgentsIntermediate

Optimizing AI Agents with Ray Parallel Processing

Boost AI agent performance using parallel processing in Ray, includes code examples and tips

ACAlex·25 minRead →
RAG & SearchIntermediate

Custom Embedding Layer in PyTorch LLM

Implement a custom embedding layer in PyTorch for large language models, improve model performance with efficient embedding representations

ACAlex·25 minRead →
LLMs & ModelsAdvanced

Deploying Question Answering Models with Hugging Face Transformers

Learn to deploy a question answering model using Hugging Face Transformers and AWS SageMaker for production-ready AI

MLMarcus·25 minRead →

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