Explorelarge-language-models
Explore curated courses, videos, and learning resources related to large-language-models.
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Courses tagged with "large-language-models"

LLM App Development: Building Powered Applications with LangChain
Master the fundamentals of LangChain to build LLM-powered applications. This beginner-friendly course guides you through prompt templates, chains, agents, conversational memory, and document loaders using Python and OpenAI.

Building AI-Powered Automation Systems with Codex
Master Codex to build a fully functional YouTube comment intelligence system. Learn to configure APIs, design interactive dashboards, build reusable skills, deploy with GitHub and Vercel, and implement automated browser QA workflows.

Deep Dive into LLMs: Building and Training GPT Models from Scratch
Master the inner workings of Large Language Models by coding a complete GPT-style architecture from scratch. Learn tokenization, multi-head attention, pretraining, and supervised fine-tuning using PyTorch and Python. Build, train, and align your own deep learning models.

Mastering AWS Cloud Foundations: CLF-C02 Certification Prep
Master core AWS services, cloud security, architecture, and billing models to ace the AWS Certified Cloud Practitioner (CLF-C02) exam. This comprehensive, structured guide provides foundational cloud knowledge, practical service overviews, and key exam preparation strategies for success.

The Complete Software Engineer's Career Guide: From Foundations to AI Agents
Accelerate your software engineering career by mastering computer science foundations, design patterns, testing, and DevOps with Docker. Then, leap into the future of software development by building stateful, multi-agent AI systems using LangGraph, Python, and LangChain.

Architecting Large Language Models from Scratch: From Perceptrons to Post-Training
Master the inner workings of LLMs by building a GPT-2-style transformer from scratch. Learn neural network fundamentals, GPU optimization, attention mechanisms, pre-training pipelines, instruction tuning, and policy optimization using PyTorch.
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