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@@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 No I dont think Pinecone has waitlist. Also, pinecone is costly, you can use an opensource vector db called Chroma www.trychroma.com/
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.
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.
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)?
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.
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.
. ... 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
@@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😌)
@@shrutinathavani In this video I have processed text file and pdf file to update pienceone db ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-cVA1RPsGQcw.html
@@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 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
