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LLM

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LLM

Mastering Large Model Development from Scratch: Beyond the AI "Black Box"

Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.
AILLM 204
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1Code Build Environment Variables | Common Types & Associated Mistakes The use of environment variables in continuous integration/continuous deployment (CI/CD) pipelines or code build systems allows developers to transmit configuration data, settings, or secrets to the build process without having to hardcode them into the source code.
2What Is SIT Testing (System Integration Testing) | A Beginners Guide What is SIT testing is one of the most common questions we are being asked regularly, this is why this blog post is released to explain all the queries one may have regarding SIT testing and its techniques.
3What are the Best Automated Testing Tools? Using the best automated testing tools are important for game developers to test games or apps for different platforms and to facilitate quality and bug-less usage.
4Boost Your App's Performance with WeTest PerfDog Performance testing is an essential part of software development. It involves testing the performance, stability, and reliability of a system under different workloads.
5Advancing Test Quality | Core Process (2): Test Case Design: The Integration of Traditional Methods and AI-Empowered Practices Master 2026 test case design by integrating traditional logic with AI tools. Explore equivalence partitioning, boundary analysis, and GenAI strategies for superior QA efficiency.
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