2023 - The Year AI Went Mainstream
Comprehensive review of 2023's AI developments, from GPT-4's release to the explosion of AI tools and applications.
🏷️ ai
33 posts
AI Security Best Practices - Protecting Your AI Applications
Security considerations for AI applications, including prompt injection prevention, data privacy, and secure API usage.
RAG Systems - Building Retrieval-Augmented Generation Apps
Building production-ready RAG systems for question-answering over custom documents, including chunking strategies and optimization techniques.
GPT-4 Vision - Multimodal AI Applications
Exploring GPT-4 Vision capabilities for image analysis, OCR, diagram understanding, and multimodal applications.
Optimizing AI API Costs - From $1000 to $100/Month
Practical strategies for reducing AI API costs through caching, prompt optimization, and smart model selection.
Vector Databases for AI Applications - Pinecone vs Weaviate
Comparing vector databases for AI applications, including setup, performance benchmarks, and use cases for semantic search and RAG systems.
AI-Powered Documentation - Automating Technical Writing with GPT-4
Using GPT-4 to automate technical documentation generation, including API docs, code comments, and user guides, saving 15+ hours per week.
Advanced Prompt Engineering - Techniques for Better AI Outputs
Advanced prompt engineering techniques including chain-of-thought, few-shot learning, and role-based prompting for optimal AI performance.
Testing and Evaluating AI Applications
Comprehensive guide to testing AI applications, including unit tests, integration tests, and evaluation metrics for LLM outputs.
Managing Conversation Memory in AI Chatbots
Strategies for managing conversation history and context in AI chatbots, including summarization and selective memory techniques.
Microsoft 365 Copilot - AI Comes to Office
Hands-on experience with Microsoft 365 Copilot, exploring how AI integration transforms Word, Excel, PowerPoint, and Outlook workflows.
Meta's LLaMA - Open Source AI Revolution
Exploring Meta's LLaMA open-source language model, including local deployment, fine-tuning, and comparison with proprietary models.
AI-Powered Content Moderation at Scale
Building scalable content moderation systems using AI, including text classification, image analysis, and real-time filtering.
Building ChatGPT Plugins - From Idea to Production
Complete guide to building and deploying ChatGPT plugins, including authentication, API design, and real-world examples.
Google Bard First Look - Can It Compete with ChatGPT?
First impressions of Google Bard after extensive testing, comparing its capabilities with ChatGPT and Claude across various tasks.
Claude by Anthropic - A Safer Alternative to ChatGPT?
Comprehensive review of Claude, Anthropic's AI assistant focused on safety and helpfulness, comparing it with ChatGPT and exploring its unique features.
GPT-4 vs GPT-3.5 - Is the Upgrade Worth $20/Month?
Comprehensive comparison of GPT-4 and GPT-3.5 based on 100+ hours of testing across coding, writing, reasoning, and creative tasks.
Year in Review - AI Tools That Changed Development in 2022
Reviewing the AI tools that transformed software development in 2022, from GitHub Copilot to Stable Diffusion and ChatGPT.
ChatGPT First Impressions - This Changes Everything
My first week with ChatGPT - exploring its capabilities, limitations, and why this feels like a watershed moment in AI history.
Running Stable Diffusion Locally - Complete Setup Guide
A comprehensive guide to setting up and running Stable Diffusion on your local machine, including hardware requirements, installation steps, and optimization tips.
AI-Powered Code Review Tools - Are They Worth It?
Testing AI-powered code review tools including GitHub Copilot, DeepCode, and CodeGuru to see if they can replace or augment human code reviews.
GitHub Copilot Prompt Engineering - Getting Better Code Suggestions
Master the art of prompt engineering for GitHub Copilot to get higher quality code suggestions and boost your productivity.
GitHub Copilot in Production - 3 Months of Real-World Experience
After 3 months of using GitHub Copilot in production, here's an honest review of its impact on development workflow, productivity gains, and unexpected challenges.
2021 Tech Year in Review - AI Emerges, Cloud Native Matures
Comprehensive review of 2021's tech developments: GPT-3's impact, GitHub Copilot launch, cloud native maturity, and emerging trends.
OpenAI Codex - The AI Behind GitHub Copilot
Exploring OpenAI Codex capabilities for code generation, translation, and explanation across multiple programming languages.
Building Intelligent Chatbots with GPT-3
Building production-ready chatbots using GPT-3, including context management, conversation flow, and handling edge cases.
AI Code Completion Tools Compared - Copilot vs Tabnine vs Kite
Comprehensive comparison of AI code completion tools: GitHub Copilot, Tabnine, and Kite based on 2 months of daily use.
GitHub Copilot - First Month Experience and Productivity Impact
One month with GitHub Copilot: measuring productivity impact, analyzing code quality, and sharing best practices for AI pair programming.
GPT-3 for Code Generation - Experiments and Results
Experimenting with GPT-3 for code generation tasks, comparing results across Python, JavaScript, and SQL with real-world examples.
GitHub Copilot Technical Preview - AI Pair Programming
First impressions of GitHub Copilot technical preview, testing AI-powered code completion across multiple programming languages.
DALL-E Image Generation - Exploring OpenAI's Text-to-Image Model
Experimenting with DALL-E for text-to-image generation, exploring its capabilities, limitations, and potential applications.
Integrating GPT-3 API - Building an AI-Powered Content Generator
Building a production-ready content generation system using OpenAI's GPT-3 API, including prompt engineering, rate limiting, and cost optimization.
GPT-3: The AI Revolution Has Arrived
First hands-on with GPT-3 API - built text summarization, code generation, Q&A system. 90% accuracy, mind-blowing capabilities