Check this out: https://
ig.ft.com/generative-ai/
@sumanth_077
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Generative AI Interactive Feature by Financial Times
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How LLMs Work Explained with Visuals
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How LLMs work, explained with visuals: pic.twitter.com/XkxWU6u4B7
— Sumanth (@Sumanth_077) 29 juillet 2024How LLMs work, explained with visuals:
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Daily Content on Python, Data Science, Machine Learning and MLOps
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That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Chat with Your Data: Summarizing PDF Files in Apps
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Step 4: Chat with your data Finally, once the data has been ingested into the app, chat with your data. Here we are asking it to summarize the pdf file.
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Upload Data to Clarifai App Vector Database
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Step 3: Upload the data Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.
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Setting Up RAG System with Clarifai and Llama 3.1
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Step 2: Import the RAG class and set up the RAG system by passing your Clarifai App URL and the Llama 3.1 8B instruct model URL from the community. Create a Clarifai app and get your App URL. Here is the model URL: https://
clarifai.com/meta/Llama-3/m
odels/llama-3_1-8b-instruct
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Install Clarifai SDK Llama-index and Configure Personal Access Token
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Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
ity
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Build RAG System in 4 Lines with Clarifai SDK
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You can build a RAG system with just 4 lines of code using @clarifai Python SDK. Below is the entire code. Let's look at it step by step:
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Build RAG LLM App Chat PDF Files Llama 3.1
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Build a LLM app with RAG to chat with PDF files using Llama 3.1 8B instruct in just 4 lines of Python code:
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Power of Building Apps with Open-Source Models Locally
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This is real power, building apps with open-source models locally. Great share Akshay!