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107 results

The Stack
The Local AI Coding Breakthrough We Need? (Bonsai 2)

Bonsai 2 27B squeezes Alibaba's Qwen 3.8 into a 6 GB file and matches it on quick one-prompt coding, but on agent work it ...

13:12
The Local AI Coding Breakthrough We Need? (Bonsai 2)

6,481 views

12h ago

Coderiny
Why Is Python Everywhere in AI?

Python is often called slower than C++, so why does it appear across machine-learning projects? Follow one image model from ...

13:16
Why Is Python Everywhere in AI?

4 views

15h ago

Stefan Mischook
The Future of Development - it's not the AI you think.

Try Morph for FREE: https://modelcode.ai/morph. Use code STEFANMISCHOOK to get 60000 free credits per month for your first ...

12:58
The Future of Development - it's not the AI you think.

3,594 views

8h ago

Tech-Practice
M5 Ultra vs M6 running Qwen3.8-27B Locally via TensorFold: 3.66× Faster

Apple's new M6 Mac mini vs the new M5 Ultra Mac Studio, both running Qwen3.8-27B fully local, with the same engine, the same ...

5:41
M5 Ultra vs M6 running Qwen3.8-27B Locally via TensorFold: 3.66× Faster

284 views

5h ago

Pythonic Accountant
Python vs. Jev vs. LLM: A First Look at AI Workflow Automation for Accounting

In this video, we explore how to automate bank transaction categorization using a spectrum of approaches: raw Python keyword ...

16:29
Python vs. Jev vs. LLM: A First Look at AI Workflow Automation for Accounting

129 views

10h ago

The Software Engineer
Virtual Memory, Page Faults, CPU Caches and Race Conditions Explained | HFT Engineering Part 2

Latency-sensitive code lives or dies by what happens beneath it. This part walks through the operating system and the hardware, ...

14:31
Virtual Memory, Page Faults, CPU Caches and Race Conditions Explained | HFT Engineering Part 2

4 views

10h ago

Engineering counter
5. Fine-Tuning LLMs for AI Engineer Interviews | LoRA, QLoRA & Optimization Explained

LLM fine-tuning and optimization explained for AI Engineer and GenAI interviews. Learn when and how to fine-tune Large ...

9:49
5. Fine-Tuning LLMs for AI Engineer Interviews | LoRA, QLoRA & Optimization Explained

4 views

22h ago

ManuAGI - AutoGPT Tutorials
Top Open-Source GitHub Projects : TensorFlow, PyTorch, LLVM, Univer, quiche & ZCode #295

AI Agents Studio : https://www.youtube.com/channel/UCAawqobkJZ28OLcYcMgqYaw?sub_confirmation=1 "This video covers the ...

13:31
Top Open-Source GitHub Projects : TensorFlow, PyTorch, LLVM, Univer, quiche & ZCode #295

4,036 views

19h ago

Warp
Warp Factories deep dive

A complete tour of Warp Factories, infrastructure to build your own AI software factory. I'll show how to set up agents and ...

18:48
Warp Factories deep dive

865 views

11h ago

Robot Framework
RoboCon 2026 - The VSCode shortcut which saves you 8 weeks

Lightning talk about a super simple but mind blowing awesome usability and speed improvement. "Evaluate in Debug Console" ...

9:58
RoboCon 2026 - The VSCode shortcut which saves you 8 weeks

184 views

19h ago

A1ex
Are 4x M5 Ultra Mac Studios faster at AI than 1?

Apple's new Mac Studio can hold 512GB of unified memory in one box, the same as a whole four DGX Spark cluster, and Apple ...

5:56
Are 4x M5 Ultra Mac Studios faster at AI than 1?

128 views

16h ago

QED Realized
Learn Python #28: The Method That Doubles Your Digits | Newton and Secant

Last episode, bisection found roots with a guarantee — but at one bit of accuracy per step, it grinds out roughly forty iterations for ...

16:20
Learn Python #28: The Method That Doubles Your Digits | Newton and Secant

7 views

13h ago

sitowebveloce
Kokoro Speaks, Whisper Listens: Local Speech-to-Text in Python

In Part 9 a local model gave our laptop a voice. Today we go the other way: faster-whisper turns speech back into text, offline, on a ...

7:39
Kokoro Speaks, Whisper Listens: Local Speech-to-Text in Python

7 views

14h ago

Python AI Career
Make Your Tests 30x Faster with conftest.py & Scopes (Episode 4)

Tired of slow, bloated test suites? In Episode 4, we unlock enterprise Pytest performance and project-wide fixture sharing.

6:02
Make Your Tests 30x Faster with conftest.py & Scopes (Episode 4)

2 views

11h ago

thezakulo
14 Open-Source AI Repos This Week: magpie, a 47-Point HN Pick & a 126K-Star TTS Tool

The 14 open-source AI repos trending on GitHub this week — the newest launches, the Hacker News talk, a subfield spotlight, ...

17:00
14 Open-Source AI Repos This Week: magpie, a 47-Point HN Pick & a 126K-Star TTS Tool

8 views

19h ago

Grootz
Python Course #6 | Operators Part 3 | Bitwise Operators

Welcome to Operators Part 3 of our complete Python course! In the previous videos, we covered Arithmetic, Logical, Identity, ...

19:38
Python Course #6 | Operators Part 3 | Bitwise Operators

31 views

13h ago

Professor Py: Information Retrieval with Python
PostGIS Nearest-Neighbor Search in Python: Return Only Results Inside a Radius

PostGIS KNN and radius filtering: ensure nearest-place queries respect a 1000-meter boundary instead of returning out-of-range ...

7:32
PostGIS Nearest-Neighbor Search in Python: Return Only Results Inside a Radius

1 view

19h ago

Chris Tech
I Tested Local AI on a 16GB GPU — Here's What Actually Runs

What can a 16GB gaming GPU really run with local AI? I put four models through the same three tests on my own RTX 4070 Ti ...

10:40
I Tested Local AI on a 16GB GPU — Here's What Actually Runs

5 views

5h ago

Richard Young
Lab 9 - How to Build a Tool-Calling Agent Loop with OpenRouter and Ollama

0:00 Introduction & Loop Concept 0:26 Setup: Tools and Reference Data 1:07 Model & Observation Trick 2:00 Parser and ...

14:25
Lab 9 - How to Build a Tool-Calling Agent Loop with OpenRouter and Ollama

43 views

20h ago

Mehdi Hosseini Moghadam
L-50: FlashAttention – Implementation: Tiled Attention & Online Softmax #llm

L-50: FlashAttention (Hard) This video addresses the memory bottleneck in standard transformer attention, where computing the ...

5:44
L-50: FlashAttention – Implementation: Tiled Attention & Online Softmax #llm

7 views

15h ago

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