Multi Modal: BLIP-2: Part 1
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Multi Modal: BLIP-2: Part 1
17:55
Nightmares Pre-Training and Fine-Tuning LLMs
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Nightmares Pre-Training and Fine-Tuning LLMs
46:31
Fast Distributed Inference Serving for LLMs
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Fast Distributed Inference Serving for LLMs
37:10
LaMA-Adapter Finetuning: Source Code: Paper: PseudoCode
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LaMA-Adapter Finetuning: Source Code: Paper: PseudoCode
41:10
LoRA - Low Rank Adaptation of Large Language Model: Source Code
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LoRA - Low Rank Adaptation of Large Language Model: Source Code
42:04
Tool Former Source Code: LLM using API
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Tool Former Source Code: LLM using API
40:02
SmoothQuant: Migrate Activation Difficulty to Weights
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SmoothQuant: Migrate Activation Difficulty to Weights
4:50
SparseGPT : Get Rid of 100 Billion Parameters
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SparseGPT : Get Rid of 100 Billion Parameters
1:11:41
Pre-training -LLAMA Source Code-Flash Attention-FSDPStrategy
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Pre-training -LLAMA Source Code-Flash Attention-FSDPStrategy
1:05:39
GPTQ: Applied on LLAMA model.
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GPTQ: Applied on LLAMA model.
30:32
An AI receptionist system design and open source discussion
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An AI receptionist system design and open source discussion
15:08
Segment Anything Research by Meta AI
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Segment Anything Research by Meta AI
1:56:22
GPTQ : Post-Training Quantization
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GPTQ : Post-Training Quantization
55:20
Alpaca Model Open Source Code : Instruction-Following Model
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Alpaca Model Open Source Code : Instruction-Following Model
50:53
HuggingFace: Text Generation Inference: Part 1
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HuggingFace: Text Generation Inference: Part 1
1:16:34
OpenAI: Reinforcement Learning from Human Feedback
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OpenAI: Reinforcement Learning from Human Feedback
1:33:33
Vision Transformer from Scratch and Training Implementation
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Vision Transformer from Scratch and Training Implementation
2:00:30
BERT Architecture Implementation from Scratch
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BERT Architecture Implementation from Scratch
1:49:29
Inside the Facebook Recommendation System: How it Works and How it's Designed
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Inside the Facebook Recommendation System: How it Works and How it's Designed
45:41
DeepETA: How Uber Predicts Arrival Times Using Deep Learning
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DeepETA: How Uber Predicts Arrival Times Using Deep Learning
17:50
Machine Learning System Design: Predicting Real Names from Nicknames
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Machine Learning System Design: Predicting Real Names from Nicknames
40:09
MobileVIT 1 and 2 Paper Explained and Implementing in Code
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MobileVIT 1 and 2 Paper Explained and Implementing in Code
1:33:41
NextVIT Paper Explained and Code Walkthrough
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NextVIT Paper Explained and Code Walkthrough
52:18
MobileNet 1, 2, 3 Paper Explained and Implementation in Code
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MobileNet 1, 2, 3 Paper Explained and Implementation in Code
1:21:30
Understanding the RCNN Family of Object Detection Models: From R-CNN to Mask R-CNN
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Understanding the RCNN Family of Object Detection Models: From R-CNN to Mask R-CNN
20:06
Deep Learning Data Labeling Techniques Covered in Detail
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Deep Learning Data Labeling Techniques Covered in Detail
26:50
EfficientNet Explained and Implementing it in Code
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EfficientNet Explained and Implementing it in Code
33:35
Embedding Table Free Recommendation Systems
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Embedding Table Free Recommendation Systems
18:55
Distributed Training in Deep Learning
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Distributed Training in Deep Learning
33:06
MLOPS: Detecting Illegal Listings Distributed Machine Learning - Amazon Interview Question
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MLOPS: Detecting Illegal Listings Distributed Machine Learning - Amazon Interview Question
46:08
Building a Transformer Model from Scratch: Explained in Detail
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Building a Transformer Model from Scratch: Explained in Detail
1:48:42
Efficient Deep Learning: Part 1
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Efficient Deep Learning: Part 1
36:51
Facebook/Meta Deep Entity Classification (DEC)
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Facebook/Meta Deep Entity Classification (DEC)
37:03
LinkedIn Abusive Account Detection At Scale
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LinkedIn Abusive Account Detection At Scale
28:45
Good Data Scientist Understand Business: Transnet Use Case
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Good Data Scientist Understand Business: Transnet Use Case
7:58
Store Segmentation: Unsupervised Machine Learning: Shoprite
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Store Segmentation: Unsupervised Machine Learning: Shoprite
51:48
React-js and R: Customer Churn App
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React-js and R: Customer Churn App
42:00
Analyzing Web Development BootCamp Survey: Deep Learning
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Analyzing Web Development BootCamp Survey: Deep Learning
33:09
South African House Market: Machine Learning
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South African House Market: Machine Learning
38:13