sentdex

sentdex

@sentdex · 1.4M subscribers · 1,282 videos · English

Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more. I have ~1000 videos, all of which do not fit on the front page. Try searching on the channel page, or via https://pythonprogramming.net. If you cannot find something, just ask! Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6 Paypal donations: HSKinsley@gmail.com

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Videos

52:25

You Can Just Download More Tokens/Sec

20K views · 3mo ago · 52:25

Talking DeepSeek DSpark / DeepSeek V4 Flash, Kimi K3, GPT-5.6, model speed, keeping hardware running and more. DSpark paper Minion coding agent PCIe switches, slimsas, PCIe timers...etc pre-owned/refurbed UPS Neural Networks from Scratch book

📄 Mentioned papers: DSpark paper

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36:22

In search of frontier AI at home

43K views · 4mo ago · 36:22

Analyzing a handful of local models that fit within a specific GPU memory ceiling, looking to learn how much compression impacts performance, how differently compressed models @ similar size compare, and how kv cache impacts attention in some cases.

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1:02:11

Programming with LLM Agents in 2025

117K views · 1y ago · 1:02:11

Guest: LLM Agents

Some tips and tricks for using modern LLM agents for building stuff. I am using openhands here, but you're free to take some of my advice from here and apply it to just about any of the web-based UIs or other agents...etc.

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1:01:55

Building an LLM fine-tuning Dataset

74K views · 2y ago · 1:01:55

Going through the building of a QLoRA fine-tuning dataset for a language model. NVIDIA GTC signup Fine-tuning code 5000-step Walls1337bot adapter WSB Dataset "I have every reddit comment" original reddit post and torrent info

Topics: The Reddit dataset options (Torrent, , BigQuery) · Exporting BigQuery Reddit (and some other data) · Decompressing all of the gzip archives · Re-combining the archives for target subreddits · How to structure the data · Building training samples and saving to database

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21:09

Getting Back on Grid

21K views · 2y ago · 21:09

Establishing an internet connection in an internet desert, then figuring out (well, starting to) networking. Combined with Starlink as my internet provider, I ended up going with a wifi bridge implementation with a couple of Ubiquiti nanostation AC locos to network between buildings at 100+ meters of distance. The Ubiquiti units can also do point to point (ptp), but so far the wifi bridge setup is working great for me.

📖 Mentioned books: Ubiquiti NanoStation 5AC Locos (in pairs for ptp wifi bridge) · PoE Injectors (can use any PoE switch too) · Silicone sealant · TPLink Access Points (AP)

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12:04

Pandas Dataframes on your GPU w/ CuDF

47K views · 3y ago · 12:04

An overview and some quick examples of using CuDF's Pandas accelerator and how much faster it can be than vanilla Pandas for data analysis. Colab demo of Rapids AI and Data Science Virtual Summit Notebook in this video Install CuDF: pip install cudf-cu11 --extra-index-url= (or cu12)

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23:56

QLoRA is all you need (Fast and lightweight model fine-tuning)

73K views · 3y ago · 23:56

Learning and sharing my process with QLoRA (quantized low rank adapters) fine-tuning. In this case, I use a custom-made reddit dataset, but you can use anything you want. I referenced a LOT of stuff in this video, I will do my best to link everything, but let me know if I forget anything.

Topics: Why QLoRA? · LoRA/QLoRA Research · Fine-tuning dataset · QLoRA Training Process · QLoRA Adapters · Merging, Dequantizing, and Sharing

▶️ Mentioned videos: Video on youtube.com

📄 Mentioned papers: Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning · LoRA: Low-Rank Adaptation of Large Language Models · QLoRA: Efficient Finetuning of Quantized LLMs

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15:56

Chat Interface for your Local Llama LLMs

22K views · 3y ago · 15:56

A tutorial of sorts covering how to create streaming chat interfaces using Gradio for the various chat/instruct large language models from HuggingFace. Sample code Neural Networks from Scratch book Reddit Support the content

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14:29

Better Attention is All You Need

64K views · 3y ago · 14:29

Addressing the current state of attention for artificial intelligence and why it's currently holding back maximum context lengths. Neural Networks from Scratch book Reddit Support the content Twitch

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41:11

Building an Open Assistant API

31K views · 3y ago · 41:11

Working with one of the Open Assistant models, a 12B parameter Pythia model ( Github Neural Networks from Scratch book Reddit Support the content Twitch Video Contents

Topics: Basics of using OpenAssistant Pythia 12B locally · Creating an OpenAssistant API · Interfacing with our new OpenAssistant API · Handling for long contexts

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1:00:39

Sparks of AGI? - Analyzing GPT-4 and the latest GPT/LLM Models

58K views · 3y ago · 1:00:39

An in-depth look into the current state of the art of Generative Pre-trained Transformer (GPT) language models, with a specific focus on the advancements and examples provided by OpenAI in their GPT4 Technical Report ( as well as the Microsoft "Sparks of AGI" Paper (

Topics: Multi-Modal/imagery input · Predictable scaling · Performance on exams · Rule-Based Reward Models (RBRMs) · Spatial Awareness of non-vision GPT-4 · Non-multimodel vision ability

📄 Mentioned papers: Sparks of AGI · Sparks of AGI

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35:18

ChatGPT API in Python

186K views · 3y ago · 35:18

Exploring the ChatGPT (GPT3.5) API from OpenAI and building some simple chat applications with it. Github code Neural Networks from Scratch book Reddit Support the content Twitch Contents

Topics: Why use the ChatGPT API · How to query the ChatGPT API · History and dynamic input w/ ChatGPT API · Comining everything so far · Building a Gradio chat application with ChatGPT

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10:39

Image Editing A.I.

21K views · 3y ago · 10:39

Checking out some of the latest A.I. Photo and Video editing software available on HuggingFace. NVIDIA GTC Signup (Digital event March 20-23) Neural Networks from Scratch book ControlNet (doodle to image, edge detection, pose...etc)

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