48:25

Parameter-efficient Fine-tuning of LLMs with LoRA

49:45

LLM prompting optimization: Automatic Multi-step Reasoning and Tool Use

33:33

Build a PodCast Recommendation with LLM

46:44

KDD Cup 2024 Multi-task Online Shopping Challenges for LLM: 1st Place Winning Solution

45:11

LLM inference optimization: Model Quantization and Distillation

44:06

LLM inference optimization: Architecture, KV cache and Flash attention

39:42

Mixture of Experts: Mixtral 8x7B

21:33

Scaling Synthetic Data Creation with 1,000,000,000 Personas

50:58

Coding tutorial: LLM fine-tuning with LORA

28:46

Coding tutorial: RAG with LangChain and Llama3

09:44

Step by Step: Self-Attention Mechanism

42:56

LLaMa Family: Alpaca, Vicuna and LLaVA

55:43

LLaMA 2: Open Foundation and Fine-Tuned Chat Models

19:18

LLM: Textbooks are All You Need

27:41

Boost your Productivity with AI

55:32

LLaMA: Open and Efficient Foundation Language

57:23

LLM: Demystify GPT-4

52:30

LLM: InstructGPT - Follow Instructions with Human Feedback

47:18

LLM: GPT-3

55:12

Scaling Laws for Neural Language Models

50:19

LLM: Exploring the Limits of Transfer Learning with a unified Text-to-Text Transformer (T5)

42:12

Transformer United: Introduction to Vision Transformer (ViT)

01:01:53

LLM: Pretraining, Instruction fine-tuning and RLHF

33:12

Transformer United: Attention vs 1-D CNN via a Coding Example

46:20

Transformer United: Introduction to Transformers

01:11:15

Transformers in Language: History and Use cases of GPT

52:14

CPU accelerated fine-tuning for image segmentation using PyTorch

56:03

Explainable Machine Learning

59:08

Interpretable Machine Learning

18:54

Coding tutorial: Link prediction with Graph Neural Network

31:49

Coding Tutorial: Node Classification with Graph Neural Network

01:50:51

Machine Learning with Graphs : Knowledge Graph Embeddings

01:22:53

Machine Learning with Graphs : Deep Generative Models for Graphs

01:25:03

Machine Learning with Graphs : Community Structures in Networks

01:10:15

Machine Learning with Graphs: Practical tips of Setting up and Training a GNN

01:16:32

Machine Learning with Graphs: Graph Neural Network Model - Design Space

01:24:42

Machine Learning with Graphs: Graph Neural Network Model

01:27:48

Machine Learning with Graphs: Node embeddings

15:06

PageRank: Coding example

17:02

PageRank: Personalization

18:12

PageRank: How to Solve

26:06

PageRank: Introduction

23:00

Machine Learning with Graphs: Graph-level Features and Graph Kernels

19:01

Machine Learning with Graphs: Link-level Features

18:35

Machine Learning with Graphs: Node Features and Graphlet

43:08

Machine Learning with Graphs: Applications

17:56

Machine Learning with Graphs: Why Graph

48:16

Kaggle Winning Solution Series: Ad click prediction

01:02:04

Win Machine Learning Competition with StackNet

13:05

Kaggle Winning Solution Series: Corporación Favorita Grocery Sales Forecasting

17:49

Kaggle Winning Solution Series: Walmart M5 Forecasting – Accuracy

19:48

Kaggle Winning Solution Series: Rossman store sales forecast

56:20

Kaggle Winning Solution : Retail Sales Forecasting

01:05:12

Overview of Natural Language Generation

01:15:20

Convolutional Neural Network for Text Classfication

01:05:53

Code up seq2seq model with attention for machine translation

59:46

Seq2Seq and Attention for Machine Translation

01:16:23

Fancy Recurrent Neural Network

01:01:58

2020 NLP Series - Dependency Parsing

01:55:45

Houston Machine Learning Meetup - Deep Learning Workshop Part I