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Thank you for this video

Thanks! It would be really helpful if the print output cells colours are better visible.

can i add a project using pandas and fastapi to my resume? Is it a good project for resume ?

Hello, I can't find the source code of this in the github link, can you please help me out.

It's a great explanation for ollama thank you sir. But i am getting a ```{"error":"model 'llama2' not found, try pulling it first"}``` even i already pull and run the model in my server.

Hello. Can you tell me how I can persistently store the embedded data for further processing like searching?

Comprehensive, best tutorial of dspy!

Advice for future videos, don't use all caps, it's harder to read.

can you actually put mutlilple questions in a sing tavily search . So perhaps a) I want to find X b) Where is X located c) What does it work on d) What is the USP of X ?

Py is for pytorch. Great series

Hi Kamalraj, I have a question. Whats the point of using Evaluator Function ? Its not going to optimize the prompt rite.. so, its purpose is just to see how model responds to a dataset. Or , is it meant to be used again once the prompts are optimized so that we can verify whether the optimization is good or not ?

Hi Kamalraj, One question. At 8.54 In the code you were using print("Response by OpenAI: ", resp.answer). ie, you are trying to print the answer. But in the output that got printed, the Question and answer was present. why is that ? problem happened with your question "Whos is the worlds fastest man and women" . But the answer was ok for your previous question " President of India"

It is nice to see this type of content. Appreciate the work.

Can we have more similar type of videos please . Awesome Job done here .

Great series man! Keep it coming! It will be great to see a tutorial on how to search a bunch of pdfs with vector search..

Great Dude !!!!!!!!

You are doing an amazing job man

brother you are the king. yes please on the dataset building!!!!!!

Very nice content. Thanks!

This series on DSPy should be on their website. Good content.

Hi from Brazil, great explanation, your DSPy series is very good. Thanks

hello, i'll like to setup stablediffusion comfy ui using modal but there's no video about modal for absiolute beginners let alone stbldiffusion. they have something about stablediffusion in their docs but its just outdated, the images their trial stablediffusion demo makes look very outdated. pls if you can, can you make a video about using stblediffusion in modal

Nice. Explaining how the implementation is done in dspy was helpful. Keep up the good work my friend

Great video and demo. can you share the github repo for further exploration ?

Excellent video! You made a very complex subject easier to be digested ✌🏼✌🏼

Hi there. Do you have any videos about DSPy Tool Calling / Function calling React ?

Really helpful content ♥️

My dude, you are the GOAT. You're our primary source of DSPy knowledge on new releases. Are you working on a synthesiser video? <3

Will we have to write our own validation function to be used as metric in teleprompt, if we have multiple output parameters?

Is it ok to install 32bit os ?

I like your thought processes-making small corrections and testing edge cases around the happy path as you go. Thanks so much!!

Can we use Self Query Retrievers with Open Source LLMs such as Llama-2? If yes then how? I'm getting error on this statement retriever.get_relevant_documents('What are some red wines') TypeError: embedding(): argument 'indices' (position 2) must be Tensor, not StringPromptValue

Hello all these videos are very informative. Could you please also add table extraction from documents which are semi structured?

Great effort can you post the notebook link

Hello, I have query related Chromadb, langchain and python, I want to extract all data from chromadb and put it in qdrant, for that ive to use get method, but the problem is my data is very large, i cant extract in a variable it'll crash a memory, is there any way we can fetch the data (embeddings as well as metadata) from chroamadb? Thanks :) result = vector_db.get(include=["embeddings","metadatas", "documents"])

pls tell me how to integrate discord,whatsapp,meta (they each need separate database?), (if same how to grant the permission for shared database), how to configure them in homeserver.yaml

Hi, I'm having a problem while making this command: poetry install --extras all --extras systemd --extras cache_memory systemd-python3 gets error and some more also. I don't know what to do. I wish you could help me

awesome

Your all videos are very useful. Can you add one video regarding streaming using django and local llm? This will be very useful

HI Kamal, How we can Etract text from scanned pdf and embed to a vector DB for RAG based application? Please passon any links etc. Thanks

This is a wonderful training, thanks

hello, thanks for your helpful video! but sorry i have an oot question about rasa. Can you send an image to user using url? Because i cant use the rasa documentation example, if i run the code, it will send the url instead of the image. Do you also encounter this?

thanks for sharing

What a marvellous tutorial Sir! You made my life easier while delving into DSPy. Thank you so much for creating entire playlist for DSPy

Is this how agents actually work or how you think they work? Also can you elaborate on how tools work? The Agent is given X tools so he needs to decide which and when to use one but also execute it and incorporate the result in its next move. How does that work exactly? Thanks and br

I'm the creator of StrictJSON, thanks for featuring StrictJSON! For the failure case of not an array type, it is because the prompt itself follows the JSON key quite closely. For case of array output, maybe just rename the key to "Array of models" Another way to rectify this is to give some examples in the prompt of how you want the output to be, so that the LLM can better match it.

good information

Very well explained, keep up the good work

Found very helpful. Thanks alott for posting.

*Promosm* 🤔