Tag: machine-learning
Browse 9 practical software engineering resources tagged with "machine-learning". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving machine-learning.
Build Autonomous AI Agents with Tool Use and Reasoning
How to design AI agents that autonomously plan, execute tools, and iterate toward goals using ReAct, function calling, and memory architectures.
AI Agents with Tool Use
Build autonomous AI agents that can use external tools and APIs to accomplish complex tasks.
Create a Chatbot with OpenAI Assistants API
How to create an AI chatbot using the OpenAI Assistants API with function calling and file retrieval
Generate Images Programmatically with AI Models
How to create, edit, and optimize images using DALL-E, Stable Diffusion, and Midjourney APIs with prompt engineering, batch processing, and content moderation.
Fine-Tune a Language Model for Code Generation
How to fine-tune a large language model for domain-specific code generation using LoRA, QLoRA, and custom datasets
Apply Prompt Engineering: What Works
How to write useful prompts for LLMs using role assignment, few-shot examples, chain-of-thought reasoning, and structured output formatting.
Build a RAG Pipeline with LangChain and Vector Databases
How to build a Retrieval-Augmented Generation (RAG) pipeline using LangChain and vector databases for AI-powered search
Implement Semantic Search with Embeddings
How to implement semantic search using text embeddings and vector similarity search for intelligent document retrieval
Build a Slack Bot with OpenAI GPT-4
How to build a conversational Slack bot powered by OpenAI GPT-4 that responds to mentions and direct messages