วีดีโอ

amazing video and great resources! Thank you Elvis! <3

This is very good, thank you for your effort!

this is a great format. your input is really beneficial. only thing is if we can break it into two videos, each no more than 10 minutes, instead of one long 20 minutes. it's a preference, not vital.

It is a good paper, but unfortunately use Llama guard, retrieval, rerank, etc. Will be LLMs slower in latency with a lot of inferences, those are the only disadvantages that I see.

Thanks for sharing

amazing video

how do I get more tokens

Thx for AI news update, really appreciate it

Great!

first comment 🤣🤣🤣🤣

Nice

What up my dude! Thanks

Thanks, my dude!!

As always, a good value add summary, thx

Where is the context cashing?

Great Information! Keep it up

Elvis news video series?! Let's gooo!

is strongly censored, he doesn't even give advice on how to solve a headache!

Cool

i like your explainer on Twitter, but i like youtube explainer more!!

Is gemma 2 good for coding? Like is it better than DeepSeek Coder V2?

I didn't understand the candle task too. Maybe, I'm also an AI after all...

Its funny because because for developers and longer windows. 2:40 Does Interpreter execute code or just count the delimiters or -> like: if the code included a function requiring advances read/write permission when executing interpreter would write to file -> ?: Is what I thought? 3:15 I think cache could be leveraged in place of compute while multiprocessing but per thread/semaphore.

Cool

Thank you for sharing this

Its fantastic at writing fiction but it hallucinates when asking it detailed IT questions. I used it for a few days and noticed the difference with GPT 4o in capablility. I canceled my subscription to gpt 4 and subscribed to Claude but ended up changing back.

is already available in VertexAI Tool?

Thanks, awesome video. What prompt did you use for the MLP? Wasn't able to recreate it but I destpreatly need as I wanna do an introductory lecture series on deep learning

All just to say "Those who control history controls the future" and "You will own nothing and be happy".

Ooh, is it out on llama?

Can you have it write you some new music?

This is awesome. We need more updates and explanations like this!

What application you used to read pdf paper? Is that Adobe reader?

God is good, these tools were all included and better in our 3.5 watt brains 🧠

Claude need to implement a differ. Regenerating full code of artifacts evey time, even for minor changes is so inefficient.

I don't understand how it was 5 times more expensive and 2x slower three to four months ago when it was only 3 Opus, now Sonnet is 3.5 and is even more intelligent than Opus, faster and cheaper in just 3 to 4 months.

7:45 8-bit Luigi looks more like Walter White 😄

Let me know if you want me to do a separate video with more examples. I have a lot more examples that I am sharing here: x.com/omarsar0/status/1803796159334322566

it's awesome

Looks very intelligent

A question on this, In the tutorial above we are using that txt file to answer our queries, it's more like grounding the results of our query to certain datastore (txt file in this case). So what is the difference in terms of functionality for using this context cached feature and grounding response on some datastore (with this txt file stored in it). Appreciate response.

Thank you,,,

Great stuff Elvis, just subscribed annually to your newsletter. :)

Can you please provide the code

Thank you so much for taking out time to explain this

Thanks!

Nice! That does add a lot more comfort in correct answers. The "mixture of agents" model architecture is coming in with some good stuff too (not as good as this though - this is big). We're not far from some really smart agents...

Hmm. Lots of PR stunts on their blog. So still... skeptical. I really don't get the main trickery, and 200 API calls per month is not enough to get a proper test-through. "Internal memorization. Tuning the weights, not RAG. You can layer them." /via X.

Loved the tone on the content man, you've got a new subscriber! Great job!

But is it right to call this as innovation ? Just training million of experts with task specific facts can't be said to be research ?