Відео

Don't share trash

not local. not the jarvis voice. misleading title. disappointed

should edit title to add "using openai"

Yes please more. Thanks

Please make beginner friendly tutorial, step by step guide on how to integrate this with localgpt 🙏🙏

This is kinda cool even if its a bit limited rn. I really like the idea of being able to run a powerful AI model locally on my PC, making it literally mine to do whatever with and also not sharing any of my data with a big server. I'd love to see how this progresses. I am downloading it as we speak but I'm not too sure whether or not my lowly 3060 will run it well or not.

This is Amazing

I really need this please

Very interesting project! Do you use any VAD to detect the end of the request?

I don't get it, how's that different from GPT-4o?

I made my own version that sounds like vegeta Attitude assistant, might have an argument #angry #funny #artificialintelligence ua-cam.com/users/livexFZ1R2rUjxk?feature=share the delay in response is killing me though

Wahooo..really looking forward to your new project!

Nice but would be great without that annoying 2-3 sec delay.

Great looking forward

it's fast which TTS and STT did you use ?

Mistral Large is died 😅

Right on Bro, RIGHT ON. ......... but we need the voice of Cortana for this, for when we are sitting around in our Mark V Armor and coding...:)

Idk know, why there is a folder on my desktop named Jarvis-v6 since 5 months and surprisingly that's also doing the same job 😮

how it's different than gpt4o voice?

Impressive, thanks!

Is gemini advanced the same than Google AI Studio, sorry I don't know how to access Google AI Studio

EXCITED!

That doesnt sound like Jarvis, I want the real Jarvis voice!!!

Wooohooo!! Yeah, can‘t wait for it! ⭐️

and how can I use big models from huggingface ? I can't load them into memory because many of them are bigger than 15gb, some of them are 130gb+ . Any thoughts?

also i request a video about this vs gpt-4o

yes please is it going open source?

Is there a way to speed it up?

What apis are being used?

I LIKE IT GREAT JOB

What TTS are you using and is it running locally

thank you for your video! Quick question: I'm trying to use the Gemini 1.5 Pro API and to host it on a Streamlit app. is it possible if we could host the Gemini 1.5 Pro API on streamlit to receive video file as inputs from users and perform the desired output (to get summary or whatever). Basically just like what we have in google studio but using the API in the streamlit app. Is it possible?

looking for a better chatGPT 3.5 in the same price range, I m impressed with Gemini Flash..

im getting an error on the run.bat portion. all the files are different from what i see in the video

.Interesting, it seems both OpenAI & Google are stepping up their game, improving performance, speed, and benchmarks a bit. But no groundbreaking intelligence yet. Is this a plateau for transformer models? Or are these companies slowing down for steady competition? Either way, it's cool that the tech behind these models isn't a secret anymore. KV Cache, RoPE and ... Watching your video got me thinking, how cool would it be to invest in something like Llama3-Flash with a 200k content window length! 🚀

it is amaze me when transformers does that... I remember when stability AI never be able to logic the human fingers even it's already "seen" them... I wonders does it think human hands have so many fingers because everytime prompt come in it's instant whole tokens. and since "it" limited by cpu bottle neck which makes "it" think all being have 1 hands to hold a thing and only able to out put something one at a time (please forget this talk I'm hallucinating... too much time with them made me thinks to hallucinate too, it... it... some what fun to hallucinate,.... words )

Which technology in the backend these people use to create real human AI avatar.

This doesn't work for .c and .cpp files. LangChain load() function works with python and javascript unfortunately

You forgot to hide your email

It's a Zuckerberg free AI........that makes me wonder. And you have to agree to hand over contact info and what else, I wonder ?

Could the Gemini Flash 1.5 model handle most of the heavy lifting, allowing 4.0 to manage more complex, value-oriented tasks, such as image recognition? For instance, could Gemini handle routine tasks and delegate more complex ones to 4.0 when necessary?In an agent-based problem-solving chatbot with a RAG implementation, wouldn't this approach be more cost-effective?I'm working on a grow buddy chatbot for plant health and environmental monitoring, which includes image recognition. The backend is being developed in Python, running on a cloud server, with communication to an Android front-end via RESTful APIs.I'm relatively new to coding, having started just six months ago. Any advice or insights tha5 anyone can provide would be greatly appreciated! P.s. It's the implementation of vision recognition is where I'm completely stuck at. 😔

I'm currently working on an agent-based chatbot Android app with image recognition capabilities. The app, a plant growing buddy, is designed to recognize and understand plant health and its growing environment through image recognition. I plan to develop most of the backend functionality using Python before transitioning to frontend development in Android Studio. Regarding the Gemini Flash 1.5, I was wondering if this model would be suitable for my application's image recognition tasks. Do you have any advice on integrating the Gemini Flash 1.5 model for image processing in a mobile app? Additionally, are there any specific tools or libraries you would recommend for efficiently implementing real-time data communication between the chatbot and the app? Thank you for your time and assistance! Ur channel is AWESOME!! ❤❤ Best regards, Casey

It is for python code base. I tried for Java code base but it doesn't work. Can you suggest on this

Gemini is shit.. GPT4o the best !

nice model.

In case you're having difficulty with storing pickel files. store_name = pdf.name[:-4] index_folder = f'src/faiss_store/{store_name}' if os.path.exists(index_folder): try: vectorstores = FAISS.load_local(index_folder, OpenAIEmbeddings(),allow_dangerous_deserialization=True) st.write("Loaded vectorstores from local storage") except Exception as e: st.write(f"Failed to load local storage: {e}") else: try: embeddings = OpenAIEmbeddings(model="text-embedding-3-large", dimensions=1024) faiss_index = faiss.IndexFlatL2(embeddings.dimensions) # Initialize the docstore docstore = InMemoryDocstore() # Initialize the index_to_docstore_id index_to_docstore_id = {} # vectorstores = FAISS(chunks,embeddings) vectorstores = FAISS(embedding_function=embeddings, index=faiss_index, docstore=docstore, index_to_docstore_id=index_to_docstore_id) vectorstores.save_local(index_folder) st.write("Saved vectorstores to local storage") except Exception as e: st.write(f"Failed to save local storage: {e}")

Is it possible to use GEMINI API in visual studio code?

yes, in my project i use is so fast, really like this future, like your video

Sir in Devika, The select button of search engine and Select model is not working ,Initially it was working but from last 4-5 days it is not working Please help me

there is a problem in the code. Even when I ingest new files it's still gives answer and make mess with the last file I deleted. How to handle this. I tried different prompts but it's not working for me?