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.
🏷️ year-2023
24 posts
AI Security Best Practices - Protecting Your AI Applications
Security considerations for AI applications, including prompt injection prevention, data privacy, and secure API usage.
AI Code Generation Tools Compared - Copilot vs GPT-4 vs Claude
Comprehensive comparison of AI code generation tools based on 6 months of daily use across multiple programming languages and frameworks.
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.
GPT Function Calling - Building AI Tools and Agents
Using GPT's function calling feature to build AI agents that can use tools, query databases, and perform actions.
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.
Building AI Agents with LangChain - From Concept to Production
Complete guide to building autonomous AI agents using LangChain, including tool integration, memory management, and real-world applications.
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.
Building Semantic Search with OpenAI Embeddings
Implementing semantic search using OpenAI embeddings, including indexing strategies, similarity search, and performance optimization.
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.
ChatGPT Changes Everything - The AI Assistant Revolution
How ChatGPT and large language models transformed our relationship with AI in 2023, reshaping work, education, and creative processes.
AI Ethics in Production - Practical Considerations
Practical guide to implementing ethical AI practices in production, including bias detection, safety measures, and responsible deployment.
Fine-Tuning GPT-3.5 for Custom Use Cases
Step-by-step guide to fine-tuning GPT-3.5 for domain-specific tasks, including data preparation, training, and evaluation.