Must Frameworks To Learn In Generative AI
ฝัง
- เผยแพร่เมื่อ 19 ก.พ. 2024
- In this video we will discuss about important frameworks which will be useful to work with LLM models to solve business usecases. We will be discussion llamindex,langchain,amazin bedrck ,chainlit and many more.
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►AWS Bedrock Playlist: • Generative AI In AWS-A...
►Llamindex Playlist: • Announcing LlamaIndex ...
►Google Gemini Playlist: • Google Is On Another L...
►Langchain Playlist: • Amazing Langchain Seri...
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►Learn In One Tutorials
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End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's
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Deep Learning 5 hours : • Deep Learning Indepth ...
►Learn In a Week Playlist
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Deep Learning: • 5 Days Live Deep Learn...
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Hi Krish , Thanks for the hard work you are putting in generating such good content every time . I have decided not to miss even a single video of yours about Generative AI Being a continuous learner.❤
1️⃣⭕⭕
Hi bro, please upload video for to retrieve the answer from sql database using langchain and open AI❤
Good one where you are focusing on all these models and framework. Why dont you do one for BharatGPT ? We should also give emphasis on our desi AI tools and framework.
Sir, apko waha ake dil se jadu ki jhappi dene ka maan kar raha hai 🙏🤍
Thank you so much for all these AI related guides.
thank you sir
keep updating us with these videos
😍🥰
Hello Sir, i just want to say thank you with all my heart for providing such innovative & amazing information, ideas & knowledge about GenAI. thank you for all your efforts.❤👍
Right now there are so many new technology available in GenAI. You cleared which one to use when.
Thank you Krish (sir) for amazing knowledge share and in spite of traveling from office by crossing huge traffic I won't feel tired watching your informative videos and this session had cleared a lot on pre-requisites to be considered for any GEN AI LLM oriented use case(s), please continue your good work you are doing amazing work .
Thank you for producing all your content.
Tons of knowledge for transformation into AI role
Thank you, Krish! Very Informative video.
Thank you so much for this video , I am a no techie basically a CA and the way you have explained , it is fantastic. I Got to learn so much , we would connect sometime . This thing has huge potential
Hi Krish, thanks for your hardworking on generative ai, I am actually struggling now to identify how can I integrate real time database data into my llm and build a chatbot accordingly. Will love to see a video on how you connect a real data source which is not a PDF, EXCEL or anything else. Real database like AzureDB or something else and build a chatbot so the whole chatbot is dynamic once deployed
Sir please complete the Fine tuning playlist ..
Hi Krish , Thanks for all the information 😊
Too good.
Thank You sir.💟
Hi bro, please upload video for to retrieve the answer from sql database using langchain and open AI❤
Good news for you sir I am from FSDSM may 2023 batch student. Recently I got a internship offer from Synapse Health Tech which works in Health domain.
Will you please make one video on TH-cam related to No Code AI. Because first project which assigns to me is on No Code AI. I am not able to find any good resource.
If possible please share any resource....
Hello Sir, Thanks for this video , could you please make video for demo , how to connect mysql database connection with Lanchain and Palm AI
Hi @krish, can you make videos regarding llm models like rag using vertex ai model garden use cases from gcp
Hi Krish, may be good to have a say about "Groq ai" using your expertise? Thanks.
Hello Sir. this is an off topic question.
What are the necessary devices( PC, Laptop, Tablets) an AI engineer must have to work as an AI engineer from home? What are the best ones in the market?
Thank you, keep up the good work.
Hi Krish, Please make a complete video of bedrock llama2 chat further steps for providing the output as API to the front-end or to check on postman by passing inputs and inference parameters using fastapi or Django.
Sir how to create agent for particular task and how can we connect many agents to complete particular tasks
Thank you!!
Thanks!
Krish, what is the secret to acquiring so much knowledge in such a short time? Absolutely the best basic AI knowledge video. Are you based in India?
Hi krish what about microsoft semantic kernels can u compare with these frameworks
Wrking in gen ai field.only because of yooou sir😊
Sir, I have interview on gen ai role within a week can you please help me.
Sir I am following all your Generative AI content and learning these gen ai skills so, sir are their specific jobs for these gen ai roles?
Krish can you start live apache spark sessions after gen ai
krish upload video of kuberenetes
If a open source model comes out with 1 million token and low cost per token. Does not RAG application become redundant. The whole RAG stack will become obsolete. What are your thoughts on this.
how about Xplaiable AI? in this year?
Hi , I have 2000 pdf to read and do chat with those pdf.
What frame would you recommend.. step by step will help me. Lot.
I don't know what "Must Frameworks " is.
Is "amazin bedrc" Amazon Bedrock?
do gemma model
Nothing on Gemma yet from you Krish?
A question for anyone to answer: How do you configure LLMs in order to respond only based on your documents (also preventing from responding to malicious questions or hiding/masking sensitive data)? As in RAG, documents acts as additional source of information and LLMs are still able to answer based on their trained data and we want answers only from our trained documents.
No, documents doesn't act as an additional source but rather the main source. Using prompt templates, you can tell the LLM to give the answers based on the provided documents. If the answer is not present in the documents, the reply can be "I don't know" or retrieve the information from the LLM itself. It depends upon your choice what type of reply you want based upon your queries. All this can be done using prompt templates.
@@MathAddict-xc2ct can you please suggest some others methods too. Mainly to implement guidelines/policy for LLMs.