94 docs tagged with "Artificial Intelligence"

Advanced Fine-Tuning

Advanced settings for optimizing model performance

Agent frameworks provide tools and libraries to build, test, and deploy agentic systems.

Common risks and failure modes when building AI agents.

Enhance the capabilities of AI agents using agent skills

Notes from DataCamp's Understanding Machine Learning Course

Using AI for coding tasks, including best practices and techniques for effective prompting

Using AI models to assist in writing and understanding code

Interact with AI models programmatically through APIs.

AI-assisted techniques for improving performance of applications

AI-assisted techniques for improving software testing

Using the Anthropic API in Claude Code

Starter Notes on AI

Attention Mechanisms

Using Auto Memory in Claude Code

Building applications using local large language models

Building Blocks of LLM

Adopting ChatGPT

Using the Claude Code desktop app for local project work

Using dispatch, remote control, and channels with Claude Code

Scheduled Claude Code tasks and routines

Codex Usage and Billing

Using large language models for coding and content generation tasks

Configuration and session management for using Claude Code

Making systems flexible with configuration files

System Messages and Model parameters in Ollama

Different modes of using Github Copilot

Creating and using custom agents in Claude Code

How to customize Github Copilot settings

Using AI to assist in database design, schema mapping, duplicate detection, and query optimization

How AI agents think and act through frameworks

Using GitHub Copilot Chat to identify and address security issues in code

Notes from the Gen AI Introductory course from DataCamp

Running LLM locally with LM Studio

Explainability and Interpretability

Starter Notes on AI Copilot

Guardrails help agents stay on task and prevent misuse or errors.

Guide GitHub Copilot with context for better code generation results.

Mitigating Risks in Agent Systems

Hardware Requirements for Open LLMs

Using hooks to run commands at specific points in Claude Code's lifecycle

KB Writing Instructions for AI Assistants

Zero-shot, one-shot, and few-shot prompting techniques

Running LLM locally with LM Studio

Notes from DataCamp's Understanding Machine Learning Course

View and manage models in Ollama

Using Model Context Protocol in Claude Code

Model Context Protocol and Agent-to-Agent Protocol

Using Model Context Protocol tools with GitHub Copilot

Measuring AI Success

ML Lifecycle

Understanding the constraints and challenges of AI models

Model parameters and their impact on performance

Creating model blueprints using Modelfiles in Ollama

Using multiple system messages to create complex conversational structures

Multimodal capabilities in AI models

Running LLM locally with Ollama

Managing Ollama server for local AI models

Optimizing AI performance using various prompt engineering techniques

Using plugins in Claude Code

Portable Joeden Docs Writer Agent

Portable Repo Explainer Agent

Pre-Training

Creating effective prompts for AI models.

Techniques for guiding AI model responses through prompts

From Proof-of-Concept to Production

Quantization in Open LLMs

Using a small task loop to let Claude Code implement, validate, and track one task at a time

Rename Portable AI Agents

Different roles in chat messages and how to manage multi-turn conversations with the OpenAI API.

Using sandboxing to control and restrict AI tool access in Claude Code

Key agentic design principles to set up your agents for scaling

Guide to setting up OpenAI for AI development.

Setting up the Python environment for AI development

Creating and using custom skills in Claude Code

Starter Notes on AI Agents

Starter Notes on Claude Code

Starter Notes on LLM

Starter Notes on Open LLMs

Initial notes and setup for using the OpenAI API.

Using structured output with JSON schemas for better automation and data processing

How to switch and customize models in GitHub Copilot

Sync dotfiles to joeden/prompts

Using system messages to control Claude Code's behavior

The Human Side of AI

Thinking mode for advanced reasoning

Transformers

Notes from DataCamp's Understanding Machine Learning Course

Using subagents in GitHub Copilot to break down complex tasks into manageable parts

Using browser access and automated tests to help Claude Code verify its work

Workflow for using Claude Code

Different patterns for executing AI workflows.

Integrating AI workflows with external systems and tools.

Using AI models to assist in writing tests and identifying security issues in code