Відео

Hi how can we add our own dataset?

When I tried to push the model to the name space I got this error "you are not authorised to push to this name space, create the model under a namespace you own" but namespace iam using is mine, what I do?

But will the speed be reduced drastically. Eg: If I have four instances will the response time for each instance get increased by 4x to complete compared to one instance running for the dlsame model

Pretty cartoonish music for the video games IMO.

Error code: 404 - {'error': {'message': 'The model `gpt-4o-2024-08-06` does not exist or you do not have access to it.', 'type': 'invalid_request_error', 'param': None, 'code': 'model_not_found'}} where do I set the model name ?

wow, awful demo, it sounds terrible, if you think this sounds good or compelling you need your ears checked or you are hopelessly delusional about the current state of the technology or your invested in it trying to hype up a company with a shit product...

Does it support a multi-part or split model?

This tech will devastate the silent film industry 😭

hi great video, i have question can we use different format like this one for fine tune or just the one you mentioned in the video {"role": "user", "content": "I love playing Minecraft!", "emotion": "Excited", "topic": "General Chat", "tone": "Enthusiastic"}, {"role": "assistant", "content": "Me too! It's the best game ever!", "emotion": "Excited", "topic": "General Chat", "tone": "Enthusiastic"},

thanks

What about GUI?

So can I use this to make an agent agent that can create and delete agents as needed? I want to make it find, create, optimize, or even buy upgrades to itself. Mad science means never stopping to ask what could possibly go wrong. 🤷‍♂️

whhooaaaa

Has anybody experienced that function calling with llama is not that accurate as compared to open AI?

big bro class Swarm: def __init__(self, client=None): if not client: client = OpenAI(base_url="127.0.0.1:11434/", api_key="random") self.client = OpenAI | any = client im configure core.py this but all time run.py say me PS C:\swarm-main> & C://AppData/Local/Programs/Python/Python310/python.exe c:/swarm-main/examples/triage_agent/run.py Traceback (most recent call last): File "c:\swarm-main\examples\triage_agent un.py", line 5, in <module> run_demo_loop(triage_agent) File "AppData\Local\Programs\Python\Python310\lib\site-packages\swarm epl epl.py", line 63, in run_demo_loop client = Swarm() File "AppData\Local\Programs\Python\Python310\lib\site-packages\swarm\core.py", line 29, in __init__ client = OpenAI() File "\AppData\Local\Programs\Python\Python310\lib\site-packages\openai\_client.py", line 105, in __init__ raise OpenAIError( openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable what can ı do some times?

Thank you!!! 🎉can’t wait for some more

Mistral AI ...lentement, furtivement mais sûrement

Thanks for the lecture.Suppose I want to see the tokenizer and detokenization in my llama model.How to go internal detail of model using ollama.can you suggest

Hey man, great video. This seems very promising. Let'skeep an eye on this 👍

This is great and I followed all your instructions, but I can't export the fine-tuned LLM to Hugging Face, I tried several different tokens, I even created a token that had full read/write to everything on my Hugging Face account and it still errors on export. Are you able to export a model to your Hugging Face account or do you also receive an error? If I can't retrieve the fine-tuned LLM then this is only good for academic purposes. Look forward to your reply, I really enjoy your content and am considering joining your Patreon.

You didn't tried yet?

This marks the beginning of the end of white collar work.

No code .. it didn't happen 😂

Too bad I couldn't reproduce your system, I must have missed a step. I also couldn't find your page.tsx in the description. I'll try again because it's a big and beautiful work that you've provided. Thanks.

why do you call it the ultimate multi-agent framework? Nothing in the video demonstrated it was the ultimate. Currently it looks less developed than crewai.

LM Studio is the easiest way. Unlike Ollama, all their default models are censored.

Awesome.Thanks.

how is this approach different from RAG, can you elaborate please?

but why thought? As an Agent that supposedly has everything it needs through API´s, its not needed in my opinion.

This is so cool right?

Hey, You are right on point regarding AI and its innovations I appreciate it! and Thanks for the content.

Sometimes, you find free alternatives. Other times, free alternatives find YOU... 😎 ua-cam.com/video/FtYNTP23ysg/v-deo.html

It is a great news isn't it? But most media outlet out here just keep asking him about AI doom etc. Really annoying.

Hi! Thank you for the video. So once we get this working how do we create an api and use it for external applications?

Could you please share the podcast?

is it possible to pass html/markdown directly to crawl4Ai instead of using built it crawl feature? how?

Can you make a video to crawl the entire crunchbase? Like, literally, it seems the best way to do that. Thanks.

Nice content Dude !!!!!!!!!!!

I just want to say thankyou so very much for taking the time to give us this information in English. Your outstanding ability to communicate the very cutting edge of this new emergent field is going to have an impact not only on ai development but our own has well. Using this reward model will become the baseline for many application.

no weights it carries no weight!

Can it makes various hairstyles? From my experience it doesnt understands various hair or beard styles. While my competitors all create amazing hairstyles for their sites. I dont get it how the best image generator cant do it and which one they use....and which prompts maybe

LFM trained from chat GPT outputs... ZzzZzzzZzzzz

Well. If you would not just parrot their marketing materials and test it, youll see it is not there, yet

tested and it's all garbage.

The heckkkkkkkkk 😂

Just no... Stop wasting bandwidth

Great direction 😊

Ask what model it is. It seems it is a model badly trained from gpt 3.5 generated synthetic data. Nothing to see here.

hey do share if u have any finetuning script for this model

Thanks for the video. It gave me some more insights. But you still refer to tools that run online. Can you also explain how to use and run these tools locally? And with locally I mean 'download and install everything you need and then disconnect Ethernet'-locally. Thanks in advance