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To learn for free on Brilliant, go to https://brilliant.org/TravisMedia/ . You’ll also get 20% off an annual premium subscription. AI is becoming core knowledge in modern software development. Even if you don’t specialize in ML, you’ll be asked to build, integrate, or maintain AI features. This video servers to explain 10 essential machine learning and AI concepts for developers: model parameters, quantization, embeddings & vector databases, retrieval augmented generation, inference, tokens & context windows, guardrails, function calling, memory, and cost/rate limits, so you can ship reliable, cost-efficient AI features with confidence. Resources mentioned: Blog: Model Parameters (2B vs 7B vs 40B) → https://travis.media/blog/ai-model-parameters-explained] Blog: Quantization (4-bit, 8-bit, VRAM math) →https://travis.media/blog/ai-model-quantization-explained/ Tokenizer tool → https://platform.openai.com/tokenizer Thanks Brilliant for sponsoring this video Chapters 00:00 Intro 01:00 1 - Parameters 02:09 2- Quantization 03:24 3- Embeddings & Vector databases 04:52 Sponsor 06:10 4- RAG 07:28 5 - Inference 08:15 6 - Tokens & Context Windows 09:58 7 - Guardrails 11:01 8 - Function Calling 12:19 9 - Memory 13:17 10 - Cost & Rate Limits 14:15 Did you know all 10? 🎥 Watch These Next 🎥 https://youtu.be/uDcb12CqoR4 https://youtu.be/EMWNZtCYg5s https://youtu.be/jUOysN-rcyQ FOLLOW ME ON Twitter - https://x.com/travisdotmedia LinkedIn - https://linkedin.com/in/travisdotmedia FAVORITE TOOLS AND APPS: Udemy deals, updated regularly - https://travis.media/udemy ZeroToMastery - https://geni.us/AbMxjrX Camera - https://amzn.to/3LOUFZV Lens - https://amzn.to/4fyadP0 Microphone - https://amzn.to/3sAwyrH ** My Coding Blueprints ** Learn to Code Web Developer Blueprint - https://geni.us/HoswN2 AWS/Python Blueprint - https://geni.us/yGlFaRe - FREE Both FREE in the Travis Media Community - https://imposterdevs.com FREE EBOOKS 📘 https://travis.media/ebooks #ai #machinelearning #selftaughtdeveloper