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2,233,499 results
A light intro to LLMs, chatbots, pretraining, and transformers. Dig deeper here: ...
7,696,151 views
1 year ago
Learn in-demand Machine Learning skills now → https://ibm.biz/BdK65D Learn about watsonx → https://ibm.biz/BdvxRj Large ...
1,649,777 views
3 years ago
Mux is the video API that translates audio and answers questions about your video. Get $50 in free credits: ...
1,795,328 views
1 day ago
Thanks to Micro Center for sponsoring this video! Check them out below: Shop Build. Upgrade. Save.
305,701 views
3 days ago
Most devs are using LLMs daily but don't have a clue about some of the fundamentals. Understanding tokens is crucial because ...
387,682 views
I Made ChatGPT-2 Run on a Potato (63MB AI Model!) - Extreme Quantization Experiment What happens when you compress a ...
661,806 views
How to train your own 10M parameter LLM | Get started with SerpApi using 250 free credits: ...
59,868 views
2 months ago
FREE Jev Guide (Free Community) https://www.skool.com/aiworkshop-lite Build AI Employees & AI Assistants (JARVIS) ...
25,116 views
Every major AI company is burning billion on one strategy. Scale harder, build bigger, and throw more compute at the problem.
633,120 views
7 months ago
Lots of big claims on this latest finetune from DavidAU, super smart yet burning much less tokens, can it be true? I run through a ...
8,897 views
5 hours ago
Making an AI better has meant making it bigger for about six years now, and it has worked well enough that most people treat it as ...
467,480 views
Learn more about Large Language Models (LLMs) here → https://ibm.biz/~uLCBj5HLQ Choosing a local LLM engine can make ...
88,283 views
1 month ago
GLM-5.2 has 744 billion parameters, and colibrì, a 1300-line C engine, runs it on a laptop with 25GB of RAM and no GPU.
388,195 views
Get the code - https://github.com/sponsors/losingloonies Financial data sourced from Massive (paid partner): I earn a commission ...
768,214 views
Jev is a new "System One" AI model from Typesafe AI that's ~200x faster and ~400x cheaper than every frontier model — and it ...
6,288 views
A developer got a 28.9-million-parameter language model running entirely offline on an $8 ESP32-S3 microcontroller, a chip with ...
241,110 views
I turned years of local AI benchmarks into an app that helps you figure out what hardware actually makes sense for the models ...
117,909 views
Learn more about AI Observability here → https://ibm.biz/~1VvjeyWZi AI agents fail in ways traditional monitoring can't see.
65,294 views
5 days ago
In this video CJ explains chat bots, neural networks, tokenization, embeddings, transformers and more. He shows real working ...
735,566 views
Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ...
11,221,660 views
2 years ago
Jev answers in milliseconds, picks from your options instead of writing a paragraph, and you need a waitlist spot to try it. I added ...
46,479 views
How do ChatGPT, Claude, and other LLMs actually generate text? This video breaks down the exact 5-step process that runs ...
880,202 views
8 months ago
Spotify - https://open.spotify.com/show/1KkKuQe82tf1bW78ReQ0wM Apple Podcasts ...
69,030 views
2 days ago
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture provides a concise ...
2,827,472 views
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related ...
9,694,183 views
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