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Training & Fine-Tuning LLMs for Production | Gen AI 360 Foundational Model Certification

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Course modules breakdown | Gen AI 360 Foundational Model Certification

Intro to LLMs

Introduction to LLMs Module What are Large Language Models The Evolution of Language Modeling up to LLMs A Timeline of Large Language Models Emergent Abilities in LLMs The Most Popular Proprietary LLMs Open-Source LLMs

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7 tips to Mitigate Hallucinations and Biases in Large Language Models

https://youtu.be/CCFkfouJFE8

Understanding Hallucinations and Bias Applications and Use-Cases of LLMs

Understanding Transformers and GPT

Understanding Transformers and GPTs Introduction Understanding Transformers Transformers Architectures Focus on the GPT Architecture Evaluating LLM Performance

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How to tune your Language Models: Pro Tips for Improving AI Responses and Performance

https://youtu.be/fylqJ3E4mwQ

Controlling LLM Outputs Prompting and Few-Shot Prompting Pretraining and Fine-Tuning of LLMs

Training LLMs

Training LLMs Module When to Train an LLM from Scratch What is LLMOps Overview of the Training Process Deep Lake and Data Loaders How to train NanoGPT with Deep Lake streamable dataloader Datasets for Training LLMs Train an LLM in the Cloud Going at Scale with LLM Training

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Master LLMs: Top Strategies to Evaluate LLM Performance

https://youtu.be/iWlTCBUoru8

Benchmarking Your Own LLM Domain-Specific LLMs

Fine-tuning LLMs

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RAG vs Fine-Tuning vs Deep Memory vs training LLM from Scratch: when to do what with LLMs

https://youtu.be/pHv9SsE4Mb4

Fine-Tuning LLMs Module Techniques for Fine-Tuning LLMs Deep Dive into LoRA and SFT Fine-Tuning using LoRA and SFT Fine-Tune LLMs with AWS and TorchTune

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How to Fine-Tune your LLM on Tweets! (large language models for investing)

https://youtu.be/3BlLXbbwENo

Fine-Tuning using SFT for Financial Sentiment Fine-Tuning using Cohere for Medical Data

Improving LLMs with RLHF

Improving LLMs with RLHF Module

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The Secret of LLMs - Reinforcement Learning from Human Feedback

https://youtu.be/_66Qp_xZ8Fw

Deep Dive into RLHF Improving Trained Models with RLHF

Deploying LLMs

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5 Essential Steps to Building Language Models Apps

https://youtu.be/Nr3ckDhDfK8

Deploying LLMs Module Challenges of LLM Deployment Model Quantization Model Pruning Deploying an LLM on a Cloud CPU

Advanced topics and future discussions

Advanced Topics and Future Directions Module Introduction to Large Multimodal Models Scaling Laws in LLM Training ReAct framework and ChatGPT plugins Expanding the Context Window Training on Generated Data and Model Collapse Next Challenges in LLM Research

Training & Fine-Tuning LLMs Course

Intro to LLMs

Understanding Transformers and GPT

Training LLMs

Fine-tuning LLMs

Improving LLMs with RLHF

Deploying LLMs

Advanced topics and future discussions