📌 Hey everyone! Enjoying these NLP tutorials? Check out my other project, AI Demos, for quick 1-2 min AI tool demos! 🤖🚀 🔗 KZbin: www.youtube.com/@aidemos.futuresmart We aim to educate and inform you about AI's incredible possibilities. Don't miss our AI Demos KZbin channel and website for amazing demos! 🌐 AI Demos Website: www.aidemos.com/ Subscribe to AI Demos and explore the future of AI with us!
@sairam332 Жыл бұрын
This video is a power house of practical knowledge. Really useful. Thank you.
@FutureSmartAI Жыл бұрын
Glad it was helpful!
@desuharshith4276 Жыл бұрын
thank you so much bro.. i have project ont this...iam using your video bro..
@ArunKumar-bp5lo Жыл бұрын
i was looking for video on semantic search 😅😅 thank you .perfect timing
@FutureSmartAI Жыл бұрын
You're welcome 😊. Check Description Added Code
@sadoubarry5022 Жыл бұрын
Thanks for sharing. Une chaîne KZbin très intéressante pour apprendre !!
@advaitbhake5152 Жыл бұрын
This is great work Pradip , thanks for sharing your knowledge. God Bless ! You will soon have million subscribers!
@FutureSmartAI Жыл бұрын
So nice of you! Did you check my recent video on same topic which covers GPT-4, Langchain and Pinecone
@advaitbhake5152 Жыл бұрын
@@FutureSmartAI sure , I will watch ! By Any chance you can share the pinecone key ? We are trying to create a prototype and pinecone has a wait list currently. I can understand if not.
@advaitbhake5152 Жыл бұрын
@@FutureSmartAI also do you recommend vector databases that can be on premises?
@FutureSmartAI Жыл бұрын
@@advaitbhake5152 No I dont think Pinecone has waitlist. Also, pinecone is costly, you can use an opensource vector db called Chroma www.trychroma.com/
@advaitbhake5152 Жыл бұрын
Do you have any tutorial on chroma embeddings?
@johnny1003 Жыл бұрын
Subscribed. Thank you Pradip!
@FutureSmartAI Жыл бұрын
Awesome, thank you!
@playboy71322 Жыл бұрын
Nice video, how hard would it be to select the database if you have multiple pinecone databases with different information that you want to include in your overall corpus of data to ask questions against.
@FutureSmartAI Жыл бұрын
Not much, you can have different indexed with different info and you can compare most similar items from all indexes
@playboy71322 Жыл бұрын
@@FutureSmartAI I haven't seen that video anywhere on YT. I have been searching today.
@duetplay4551 Жыл бұрын
. ... One further question: for user friendly, how can we highlight the "chuck" that was found against the original context, like what google did? Would you please give me some hints? thx
@FutureSmartAI Жыл бұрын
We are already showing chunks that we found relevant
@duetplay4551 Жыл бұрын
@@FutureSmartAI yes, I found the way to highlight the chunk within the context. Thanks 😄
@RajeshGupta-gx3yz Жыл бұрын
Hi @duet play, would you mind sharing how you highlighted the context within the chunk? 😄 would be interesting to see!
@duetplay4551 Жыл бұрын
@@RajeshGupta-gx3yz if chunk in contents: print (contents.replace(chunk, f'\033[33;04m{chunk}\003[m'))...It works for small LM, not for GPT3 because it re-write the answer.( My individual experience though😌)
@kyoungd Жыл бұрын
Great stuff. Thanks .
@FutureSmartAI Жыл бұрын
Glad you enjoyed it
@venkatesanr9455 Жыл бұрын
Great job and interesting/insightful video. I have one doubt how to handle concurrent restful async api calls in python if you know some inputs on this. Kindly provide.
@FutureSmartAI Жыл бұрын
We have done some work on it recently we will create video.
@RajeshGupta-gx3yz Жыл бұрын
Hi @Pradip Nichite, great content! Thank you for sharing your knowledge! Just wondering how you’d handle the inaccuracies from GPT-3 while summarizing content? For example, not sure if the Amitabh Bachchan summary was exactly right considering it was a document on Sachin Tendulkar. Isn’t it a case of hallucination (or accessing it’s pretrained knowledge)?
@FutureSmartAI Жыл бұрын
Hi Rajesh we could put some threshold on semantic score. If it matches score and gives answer based on factual information present in our own docs then should be fine.
@RajeshGupta-gx3yz Жыл бұрын
That makes sense.. Thank you once again! Excellent content! (:
@nisarshah1355 Жыл бұрын
Hi Pradip, Thanks for sharing this, very useful for building applications in this domain. Also, Is code shown in this video available for public access. Also could you please mention those tutorials/videos which you have shown in video, required to get better understanding of the concept.
@FutureSmartAI Жыл бұрын
Updated all details in description.
@nisarshah1355 Жыл бұрын
@@FutureSmartAI Thanks Pradip.
@pa11001 Жыл бұрын
Thank you for sharing. Is the openai.api_key free?
@FutureSmartAI Жыл бұрын
No, When you register you will get some free credits
@shrutinathavani Жыл бұрын
hello sir can i do the update database with pdf and not URL? Thank You
@FutureSmartAI Жыл бұрын
Yes. check my other videos
@shrutinathavani Жыл бұрын
@@FutureSmartAI i looked at some of your videos but did not get any idea could you provide a better way?
@FutureSmartAI Жыл бұрын
@@shrutinathavani In this video I have processed text file and pdf file to update pienceone db kzbin.info/www/bejne/mYekYoWGqKyEmdk
@FutureSmartAI Жыл бұрын
@@shrutinathavani Steps remain same as url, only you will use pdf processing library like pypdf2 to extract text and then insert in db
@shrutinathavani Жыл бұрын
@@FutureSmartAI ok thankyou helped alot
@RamaChetan Жыл бұрын
you should have used text embedding ada 002
@FutureSmartAI Жыл бұрын
I have used it in others videos
@APARAJEET_SAHOO Жыл бұрын
Rather using openAi which pre trained model would help us more, openAi is not meant for enterprise,so don't want to use
@FutureSmartAI Жыл бұрын
yes there opne source alternatives available and they are not as good as open ai. "openAi is not meant for enterprise?" Can you elloborate on this?
@APARAJEET_SAHOO Жыл бұрын
@@FutureSmartAIis our data not exposed ,when we connect to openAI ?
@FutureSmartAI Жыл бұрын
@@APARAJEET_SAHOO Though compnaies dont like that. Many compines does use clould apis and pass their data including ocr apis, llms api. Since Quality difference is so high compnaies ready to pay open ai and pass their data to stay relevant in this world. Either they can wait till open source llms as good as open ai, Build their own LLMs or simply become obsolet.
@FutureSmartAI Жыл бұрын
Here Leaderboard that shows open source LLM performance. You can see which is best open LLM. huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
@APARAJEET_SAHOO Жыл бұрын
@@FutureSmartAI what's ur thoughts on pre trained models which r build for specific context like text2sql ? I feel and see those small size models are doing great
@wilfredomartel7781 Жыл бұрын
Great ! But gpt 3 is paid.
@FutureSmartAI Жыл бұрын
Yes but its worth paying when you compare it with other alternative. Also its getting cheap by every release.