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Instead of viewing the image in the share path how to view directly once the script runs

HOW TO GET A FREE GOOGLE API KEY?

midjourney better

Interesting comparison! Looking forward to a more detailed one that includes memory usage, performance on subtle aspects of human images like hands, eyes etc.

Hi, I packed the app and run well with PC installed python. However when testing on a non dev computer without python installed it crashes. Is there anyway to resolve?

But you told about instruct which only generate text :( not images

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There is a significant difference in the pre-process between knowledge graphs and creating embeddings. Although the base text may be the same, the pre-processing for knowledge graphs is richer and more detailed compared to embeddings. Additionally, in larger datasets, working with knowledge graphs can be slower and more expensive. However, in a simple example, enriching the text with metadata for retrieval-augmented generation (RAG) can achieve the same or even better results than a knowledge graph.

GraphRAG crash course : datasciencepocket.gumroad.com/l/jtzbtp

excellent

my exe pop a command prompt then close without open browser tab, any suggestion?

great video thank you

You are a hero

how many request can we hit through this groq

Codes : datasciencepocket.gumroad.com/l/jtzbtp

Really interesting stuff!!

Good effort guys.

I followed the steps to the t but i am not getting a response text - its like stuck on loading - 0s from langchain import HuggingFacePipeline, PromptTemplate, LLMChainprompt=PromptTemplate.from_template("Tell me about {entity} in short")llm = HuggingFacePipeline(pipeline=pipeline)chain = LLMChain (llm=llm, prompt=prompt) [37] chain.run('india') Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=True` to explicitly truncate examples to max length. Defaulting to 'longest_first' truncation strategy. If you encode pairs of sequences (GLUE-style) with the tokenizer you can select this strategy more precisely by providing a specific strategy to `truncation`. Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.

Holistic comparison. Loved it!! 🙌

Insightful 3:27

could you share this colab file please :)

GraphRAG crash course: datasciencepocket.gumroad.com/l/jtzbtp

Code please

is there are code to visulize the knowledge graph?

Groq : ruclips.net/video/QSyRoOO4pXE/видео.htmlsi=DOabl-3yQBrAOnqC Google Gemini : ruclips.net/video/J8ksL3oqqUE/видео.htmlsi=PtqAXKFIM2LSXWET

Would love to see a follow up using RAG and then fine tuning llama 3.1

Link?

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Get all the codes here : datasciencepocket.gumroad.com/l/jtzbtp

Good initiative, keep going

Nice one

Hii can you evaluate without open ai key

This is great!

👌👌👌

please provide the notebook link

Short and precise!

what is the difference between normal 405B and 405B Instruct model?

Is nixtla free or paid to use ?

Hi Could you please make this exe work on mac and windows too