RAG Pipeline from Scratch Using OLlama Python & Llama2 |

RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC

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Пікірлер: 28

@shubhamdixit3415 2 ай бұрын

Really liked your content..seems like finally found a place where real implementation experience is shared in Advanced AI

@sunnysavita10 2 ай бұрын

thankyou

@onlysatyamvishwakarma 10 ай бұрын

A must video that I was looking for

@AsifKhan-cc3ye 8 ай бұрын

very informative lectures i am following your all vedios of GenAI.

@sunnysavita10 8 ай бұрын

thankyou

@aarizmobin4487 10 ай бұрын

very informative video Sunny..

@khaterekhorami 5 ай бұрын

very very valuable contents . thank you

@sunnysavita10 5 ай бұрын

thanks for appriciation

@SantK1208 10 ай бұрын

Thanks Sunny❤❤❤, Could you please let me know when I have local documents in PDF format. How user can query and get the answer using olllama

@jatulchaurasia3340 3 ай бұрын

ollama is not running error: ConnectionError: HTTPConnectionPool(host='localhost', port=11434): Max retries exceeded with url: /api/generate (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))

@Jahid_Hasan-J01 10 ай бұрын

Sir please continue this playlist...

@sunnysavita10 8 ай бұрын

yes doing it please check with playlist

@01kumarr 4 ай бұрын

interesting 😊

@tahirmujtaba0919 6 ай бұрын

Sir Can you please number your Github repos according to your youtube lectures. It becomes easy to access them.

@sunnysavita10 6 ай бұрын

noted

@digitaltechconnect1318 10 ай бұрын

please provide notebook code of this video

@sunnysavita10 10 ай бұрын

github.com/sunnysavita10/Indepth-GENAI

@VthePeople4156 10 ай бұрын

Hi bro waiting for nvidia chat with rtx demo

@sunnysavita10 10 ай бұрын

Will upload soon

@VthePeople4156 10 ай бұрын

@@sunnysavita10 I think this is the actual game changer For real AI world....

@Trendz-w5d 3 ай бұрын

brother your notes are not there on github. Please respond

@sunnysavita10 3 ай бұрын

Please check with my GitHub download from there and better watch the video and make your own notes that's a real learning.

@Trendz-w5d 3 ай бұрын

@@sunnysavita10 One question. Why we have used llama here as we've created cosine similarity already for answer?

@anubhavanayak6550 8 ай бұрын

similarity = dot_product / (query _magnitude *document_magnitude) if query_magnitude * document_magnitude........................... Please complete the code

@sunnysavita10 7 ай бұрын

it is there in notebook please refer that