Building Production-Grade AI Data Access: AWS Athena MCP Server
Learn how to build a production-grade AWS Athena MCP server that gives AI agents secure access to your data warehouse.
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LLM
Building RAG Pipelines on AWS: A Practical Guide to Bedrock + Pinecone
A practical guide to building retrieval-augmented generation pipelines on AWS with Bedrock and Pinecone.
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Claude 4 Sonnet: Advanced Hybrid AI for Coding and Reasoning
Learn how Claude 4 Sonnet delivers near-instant responses and extended thinking with powerful coding and AI agent capabilities.
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Claude 4 Opus Guide: Advanced AI Coding and Long-Running Tool Use
Explore Claude 4 Opus, Anthropic's advanced AI model for superior coding, extended reasoning, and tool integration. Learn its features and how to implement it effectively.
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Introduction to Retrieval-Augmented Generation
An overview of RAG, combining language models with external knowledge retrieval.
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AI Document Classification with GPT-4o-mini: A Zero-Shot RVL-CDIP Experiment
A quick experiment on using GPT-4o-mini for document classification.
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LLM Evals: Evaluation Techniques for Large Language Models
Learn about Large Language Model (LLM) evaluations, their importance, key metrics, and advanced evaluation techniques. Discover how to build effective evaluation sets, integrate human feedback, and compare LLM models.
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Converting OpenAI's Swarm Framework to TypeScript Using AI
Read about how I converted OpenAI's Swarm multi-agent educational framework to TypeScript using AI. Explore the conversion process, key insights, and the resulting TypeScript version.
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Build a Fast LLM Text-to-SQL Engine Without Frameworks
Learn how to create a lightweight LLM text-to-SQL engine in Python. This guide explains generating SQL from natural language queries without relying on heavy frameworks.
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How I saved an open-source project 90% on their AI agent LLM Costs
Learn how I coordinated code changes across two open-source projects to save an AI agent system 90% on their LLM costs. Discover the challenges, solutions, and the impact of this cost-saving initiative.
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Building a Vector Database Service with OpenDevin: An LLM Code Agent Experiment
Explore the process of tasking an LLM code agent with building a vector database service using FastAPI. Learn about the challenges, iterations, and final product of this AI-driven development experiment.
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Implementing Claude Tool Use with Pydantic for Structured AI Responses
This guide demonstrates how to use Claude's tool use capability in conjunction with Pydantic to generate structured AI responses. By combining these technologies, developers can ensure consistent, type-safe output from Claude that integrates seamlessly with Python applications.
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Building Reliable LLMs for Production: Structured Outputs and Data Validation
Learn how to make large language models (LLMs) behave predictably and provide structured outputs for production systems. Explore techniques for prompt engineering, JSON mode, function calling, and data validation with Pydantic.
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Building an Gmail Auto Labeler With LLMs: A Step-by-Step Guide
Learn how to build an email classifier using affordable Language Models (LLMs) like GPT-4-mini and Ollama. Automate your inbox management with machine learning.
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LLM System Design: A Practical Guide
Learn how to build an effective Large Language Model (LLM) system. Explore key components, building blocks, and advanced techniques for designing LLM systems.
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Llama 3's Synthetic Code Generation: Developing an AI-Powered Coding Environment
Explore the technical details of Llama 3's synthetic data generation approach for code generation tasks. Learn how this self-supervised learning system generates, solves, and learns from diverse coding challenges.
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Building an LLM Evaluation Tool with Synthetic Data Generation in 20 mins
Learn how to build a flexible LLM evaluation tool with dynamic schema generation, synthetic data creation, and model evaluation using Python and LLMs.
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Whisper Audio to Text: Transcribing Long Audio Files with Python
Learn how to use Whisper audio to text conversion for long files with our Python script. Overcome file size limits and easily transcribe podcasts, interviews, and lectures. Step-by-step guide with code examples.
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Using LLMs to Build A Code Generation Dataset
Learn how to use LLMs, gpt-3.5-turbo, to scrape and clean code from the web
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