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Thank you. This is an ideal combination of hardware. Does the workflow gets distributed if one of the nodes go down?

It's nice

Is it any better than cursor or windsurf?

Considering amd cards do not have nvlink analogs would be great to combine different radeon powered devices through exo

Perplexica is awesome! To save some of you time, I've got best results using mistral-nemo 12B, with a 16K context window, as both the chat model and embedding model, via Ollama. Have fun! Great vid!

Algorithm got me there. But this is perfect idea I liked it!

Well done. But I am still wondering if there is a way to change model for completions too (code suggestion on typing). Thanks

This video is hard to follow. I feel it would be easier if you cleared your screen and had less going on so that the viewers Eyes knew where to go. Showing unnecessary code all over your screen makes it very confusing for beginners to identify what they are supposed to be looking at. Also you may consider being more clear about which tabs you are pressingand navigating through your screen. I appreciate the video and I look forward to a less confusing one.

Hello, im confused whether I can run any model on my Ryzen 3 3200G PC, with 16gb of ram or not?

I don't ever usually comment, though the video is very informative, want to support you, keep going :)

I always start my prompting with the question “Was 2024 a leap year”. On simple local machines it’s telling you fairy tales. That’s disappointing. But thanks for your good explanation 👏

The voice is not synchronised with your video

phi...ok but not that powerful, i thought there might be something i don't know in this video...i would rather use openwebui or anythingllm with ollama if you just need a chat interface

Hey, thanks for the video.

Kindly make a video how to setup and make own deepseek r1 api

nice name zen

How can you make an interface or make it receive input files?

Awesome content, could you make a video where you customize a reasoning model It further like connecting It to a folder of PDF files as database

How can i contact u zen

the most comprehensive video on the subject !!!! thank you so much for this.. my question is. would it be possible to work in composer mode of cursor too?

Will try it surely!

What's the difference between using docker and ollama? If you could give a detailed explanation, I'd like that

How does this model perform on your device? Let me know!

Thank you for the heads up!

May I do it not been a programmer/dev/coder?

thanks for great video,, but can I use it with llama for example? (if running locally with ollama for example)

I am actually finding ways on how to self host it on cloud hosting via docker and traefik for quite some time, but still fails... 😂

open webui has been able to do this for a while, with the added bonus of being able to connect to multiple ollama instances in a load-balanced connection. When the query/response is complete, you can turn the web search feature off and refine or discuss the content.

"Clear and easy to understand, learn a lot in a short time. You're amazing!"

I have been using it for a month and it’s great. Recent docker pull gives me server error though:( It’s also quite easy to access searxng container directly using simple api so no limit

Nice bro, works like perplexity

waarom gebruik je geen vscode?

the image search found an image of a mockup, not the actual 5090 - which is a problem… not of the tool, but in general

Great video...thanks for sharing bro

ai agents are awesome!

Why not better change epub to Markdown?

Wow what a lovely alternative! Nice structured video, like and sub!

Can it help with other languages like c#

careful with adding all files, because with any sufficiently large project you will run out of the context...

I've always wondered how to properly showcase my projects. This seems like a great way to build a portfolio quickly.

This tutorial is super helpful. I've been struggling to make my resume stand out, so the idea of using AI to create a portfolio is interesting.

Great content, best video on vector database with example. I was searching for vector db integration in azure cosmos db and randomly found this video, thank you so much.

3:02 ok, that makes sense, i was wondering why you revert forward your ports since you can alerady run a serve locally

I installed Qwen/Qwen2.5-Coder-3B-Instruct-GGUF for test and it replies with strange code. Looks like encrypted information :(

Hi, I did what you told in this video but I get the following errors! ❓ Ask a question: what is the name of the book 🔄 Processing your question... Traceback (most recent call last): File "C:\Program Files\Python312\Lib\site-packages\httpx\_transports\default.py", line 101, in map_httpcore_exceptions yield File "C:\Program Files\Python312\Lib\site-packages\httpx\_transports\default.py", line 250, in handle_request resp = self._pool.handle_request(req) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpcore\_sync\connection_pool.py", line 256, in handle_request raise exc from None File "C:\Program Files\Python312\Lib\site-packages\httpcore\_sync\connection_pool.py", line 236, in handle_request response = connection.handle_request( ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpcore\_sync\connection.py", line 101, in handle_request raise exc File "C:\Program Files\Python312\Lib\site-packages\httpcore\_sync\connection.py", line 78, in handle_request stream = self._connect(request) ^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpcore\_sync\connection.py", line 124, in _connect stream = self._network_backend.connect_tcp(**kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpcore\_backends\sync.py", line 207, in connect_tcp with map_exceptions(exc_map): ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\contextlib.py", line 158, in __exit__ self.gen.throw(value) File "C:\Program Files\Python312\Lib\site-packages\httpcore\_exceptions.py", line 14, in map_exceptions raise to_exc(exc) from exc httpcore.ConnectError: [WinError 10061] No connection could be made because the target machine actively refused it The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 996, in _request response = self._client.send( ^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpx\_client.py", line 914, in send response = self._send_handling_auth( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpx\_client.py", line 942, in _send_handling_auth response = self._send_handling_redirects( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpx\_client.py", line 979, in _send_handling_redirects response = self._send_single_request(request) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpx\_client.py", line 1014, in _send_single_request response = transport.handle_request(request) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\httpx\_transports\default.py", line 249, in handle_request with map_httpcore_exceptions(): ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\contextlib.py", line 158, in __exit__ self.gen.throw(value) File "C:\Program Files\Python312\Lib\site-packages\httpx\_transports\default.py", line 118, in map_httpcore_exceptions raise mapped_exc(message) from exc httpx.ConnectError: [WinError 10061] No connection could be made because the target machine actively refused it The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\My Git\booktutor-ai\booktutor.py", line 213, in <module> main() File "C:\My Git\booktutor-ai\booktutor.py", line 200, in main result = qa_system.invoke( ^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 170, in invoke raise e File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 160, in invoke self._call(inputs, run_manager=run_manager) File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\conversational_retrieval\base.py", line 170, in _call answer = self.combine_docs_chain.run( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_core\_api\deprecation.py", line 182, in warning_emitting_wrapper return wrapped(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 611, in run return self(kwargs, callbacks=callbacks, tags=tags, metadata=metadata)[ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_core\_api\deprecation.py", line 182, in warning_emitting_wrapper return wrapped(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 389, in __call__ return self.invoke( ^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 170, in invoke raise e File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 160, in invoke self._call(inputs, run_manager=run_manager) File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\combine_documents\base.py", line 138, in _call output, extra_return_dict = self.combine_docs( ^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\combine_documents\stuff.py", line 259, in combine_docs return self.llm_chain.predict(callbacks=callbacks, **inputs), {} ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\llm.py", line 318, in predict return self(kwargs, callbacks=callbacks)[self.output_key] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_core\_api\deprecation.py", line 182, in warning_emitting_wrapper return wrapped(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 389, in __call__ return self.invoke( ^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 170, in invoke raise e File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\base.py", line 160, in invoke self._call(inputs, run_manager=run_manager) File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\llm.py", line 126, in _call response = self.generate([inputs], run_manager=run_manager) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain\chains\llm.py", line 138, in generate return self.llm.generate_prompt( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_core\language_models\chat_models.py", line 786, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_core\language_models\chat_models.py", line 643, in generate raise e File "C:\Program Files\Python312\Lib\site-packages\langchain_core\language_models\chat_models.py", line 633, in generate self._generate_with_cache( File "C:\Program Files\Python312\Lib\site-packages\langchain_core\language_models\chat_models.py", line 851, in _generate_with_cache result = self._generate( ^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\langchain_openai\chat_models\base.py", line 717, in _generate response = self.client.create(**payload) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_utils\_utils.py", line 279, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai esources\chat\completions.py", line 859, in create return self._post( ^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1283, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 960, in request return self._request( ^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1020, in _request return self._retry_request( ^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1098, in _retry_request return self._request( ^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1020, in _request return self._retry_request( ^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1098, in _retry_request return self._request( ^^^^^^^^^^^^^^ File "C:\Program Files\Python312\Lib\site-packages\openai\_base_client.py", line 1030, in _request raise APIConnectionError(request=request) from err openai.APIConnectionError: Connection error.

Wow. That it so cool! Thank you for sharing this. I love it.

Zen, you just keeps casting pearls. You deserve so many more subscribers.

Thanks for a video. what model do you use with aider? looks really fast

Well done, thanks :) One out of scope question - you have nicely optimized 'ls' command. You use it like 1:10 of the video. Could you please share your settings?

Hi guys! Thank you for your great video. And have a question , my macbook pro m1 (RAM : 16GB) , download Qwen 2.5 32b, but can't load this model in LM studio. please hep me. I wan know your pc or laptap spec.