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Prompt-Engineering for Open-Source LLMs Channel : DeepLearningAI |
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Prompt Engineering for LLMs, PDL, & LangChain in Action Channel : IBM Technology |
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How to Choose Large Language Models: A Developer’s Guide to LLMs Channel : IBM Technology |
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Prompt engineering essentials: Getting better results from LLMs | Tutorial Channel : GitHub |
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Roadmap to Become a Prompt Engineering Expert for Beginners in 2025! Channel : Analytics Vidhya |
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What is Ollama? Running Local LLMs Made Simple Channel : IBM Technology |
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Prompt Engineering Tutorial – Master ChatGPT and LLM Responses Channel : freeCodeCamp.org |
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Essential AI prompts for developers Channel : Visual Studio Code |
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RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models Channel : IBM Technology |
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Prompt engineering basics: Getting better results from AI Channel : GitHub |
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The Ultimate Local AI Coding Guide For 2026 Channel : Zen van Riel |
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Ultimate Prompt Engineering Course (ChatGPT & Open Source LLMs) ⚡️ Free Course in 1 Hour Channel : Analytics Vidhya |
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AI AMA March 2024 - Prompt-Engineering Channel : Baachu Scribble |
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Context Engineering for AI Code Reviews with MCP, LLMs and Open-Source DevOps Tooling by David Loker Channel : Open Data Science and AI Conference |
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Open-source tool for LLM prompt experimentation Channel : Hegel AI |
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LLMs EXPLAINED in 60 seconds #ai Channel : Shaw Talebi |
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Which Local Coding LLM is Best? Channel : Matthew Berman |
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Building LLM Application Part 1- Prompt Engineering Channel : M365 & Modern Tech Hub |
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10 min Walkthrough of Langfuse – Open Source LLM Observability, Evaluation, and Prompt Management Channel : Langfuse |
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