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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Install Clarifai SDK Llama-index Setup Guide
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Build LLM RAG App to Chat with PDFs Using GPT-4 Omni
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Build a LLM app with RAG to chat with PDF files using GPT-4 o (omni) in just 4 lines of Python code (step-by-step instructions):
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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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Python Machine Learning and AI Engineering Resources
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If you interested in: – Python – Machine Learning – AI Engineering Find me →
@akshay_pachaar
My Newsletter on AI Engineering → @ML_Spring Cheers! -
DSPy Framework Now Available in Lightning AI Studio
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Here's another @LightningAI Studio that introduces DSPy! It's adapted from DSPy tutorials on their GitHub, with additional support of local LLMs on the studios using Ollama. Check this out
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Lightning AI Studio Reproducible Environment Code Shared
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You can find all the code & details in the @LightningAI studio shared below! The studio comes with a reproducible environment, no setup is required! Take it for a spin now:
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Fine-tuned T-5 Small RAG Outperforms Vanilla Mistral
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Evaluate finetuned T-5 small RAG program **Notice the score, it beats a vanilla Mistral RAG
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Fine-tune T-5 Small RAG Model with Checkpoint Save
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Define a T-5 small RAG & Finetune it The code below will perform finetuning & provide a checkpoint for the best model weights saved during the process. Check this out
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Defining RAG Pipeline with DSPy Program
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Define the RAG program Let's define a basic DSPy program which is a RAG pipeline for answer generation. It's like defining a model that we want to finetune & evaluate. Check this out
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AutoQuant: Automatically Quantize LLMs in Colab
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AutoQuant: automatically quantize your LLMs in Colab Following llama.cpp's updates to fix Llama 3 quants, it's time to communicate again about AutoQuant It's a user-friendly Colab to create your own GGUF, EXL2, AWQ, and HQQ quants Colab: https://
colab.research.google.com/drive/1b6nqC7U
ZVt8bx4MksX7s656GXPM-eWw4?usp=sharing
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