Видео ютуба по тегу Parameters In Llms

#7. Why Increase LLM Parameters? The Real Reason
#7. Why Increase LLM Parameters? The Real Reason
#5. Why Are LLMs Called “Large”? 🤯 | Large Language Models Explained
#5. Why Are LLMs Called “Large”? 🤯 | Large Language Models Explained
Master AI Control: LLM Parameters & Decoding Explained
Master AI Control: LLM Parameters & Decoding Explained
Lecture 20: LLM Model Parameters Guide - Temperature, Max Tokens, Top P & Stop Sequences
Lecture 20: LLM Model Parameters Guide - Temperature, Max Tokens, Top P & Stop Sequences
Top-k vs Top-p Sampling Explained: Mastering LLM Generation Parameters
Top-k vs Top-p Sampling Explained: Mastering LLM Generation Parameters
LoRA Explained: Parameter-Efficient Fine-Tuning for LLMs
LoRA Explained: Parameter-Efficient Fine-Tuning for LLMs
With just 0.01% of parameters, TRMs has much better results then LLMs
With just 0.01% of parameters, TRMs has much better results then LLMs
Lecture 17 - Generative AI: Understanding Model Parameters, Tokens & Cloud Computing
Lecture 17 - Generative AI: Understanding Model Parameters, Tokens & Cloud Computing
The Truth About LLMs: From Billions of Parameters to Self Attention
The Truth About LLMs: From Billions of Parameters to Self Attention
K-EXAONE Technical Report Analysis LG AI Research 236B Parameter LLM Unveiled
K-EXAONE Technical Report Analysis LG AI Research 236B Parameter LLM Unveiled
Small Language Models: The 350M Parameter Breakthrough Beating LLM Giants
Small Language Models: The 350M Parameter Breakthrough Beating LLM Giants
LLM
LLM "Parameters" What they are & why bigger isn’t always better
10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning
10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning
Architectural Analysis and Scaling of Trillion-Parameter LLM Accelerators
Architectural Analysis and Scaling of Trillion-Parameter LLM Accelerators
TeleChat3-MoE: Scaling LLMs to 1 Trillion Parameters
TeleChat3-MoE: Scaling LLMs to 1 Trillion Parameters
Episode 3: Demystifying LLMs - Tokens, Parameters & Context
Episode 3: Demystifying LLMs - Tokens, Parameters & Context
Learn AI Part 5 | LLM Tokens, Context Windows & Parameters Explained | AI Basics for Beginners
Learn AI Part 5 | LLM Tokens, Context Windows & Parameters Explained | AI Basics for Beginners
LLM Basics You Must Know Token, Context Window, Parameters & Prompt Engineering 2026
LLM Basics You Must Know Token, Context Window, Parameters & Prompt Engineering 2026
Inside LLM Pre-training: Scaling AI to Billions of Parameters - Vlad Savinov | Ep 129
Inside LLM Pre-training: Scaling AI to Billions of Parameters - Vlad Savinov | Ep 129
LoRA: Parameter-Efficient Fine-Tuning - LLM Fine-Tuning Series 1/10
LoRA: Parameter-Efficient Fine-Tuning - LLM Fine-Tuning Series 1/10
Lesson 4: Understanding LLM Parameters
Lesson 4: Understanding LLM Parameters
Lecture 5 – LLM Parameters & Introduction to LangChain
Lecture 5 – LLM Parameters & Introduction to LangChain
Lecture 4 – Understanding LLM Parameters: Context Window, Temperature, and Max Tokens
Lecture 4 – Understanding LLM Parameters: Context Window, Temperature, and Max Tokens
Billions of Parameters: What It Means for Medical AI
Billions of Parameters: What It Means for Medical AI
Introducing PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of LLMs
Introducing PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of LLMs