That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
LLMS
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Setting up RAG system with Clarifai and Gemini-1.5 Flash model
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Step 2: Next, import the RAG class and set up the RAG system by passing your Clarifai user ID and the Gemini-1.5 Flash model URL from the Clarifai community. You can find it here: http://
clarifai.com/gcp/generate/m
odels/gemini-1_5-flash
… Once you sign up, you can find your user ID here: -
Install Clarifai SDK Llama-index Setup Guide Instructions
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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 Using 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 Gemini Flash
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Build a LLM app with RAG to chat with PDF files using Gemini Flash in just 4 lines of Python code (step-by-step instructions):
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Local LLM executes all tasks without internet connection
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El qué? Esto no es un traductor, es un LLM ejecutado en local, con todas sus capacidades (generar texto, traducir, responder preguntas, etc) sin necesidad de tener conexión a internet.
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Gemini 3.25B quantized running locally in Chrome sub-100ms
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a 3.25B params quantized gemini running locally in coming Google Chrome with less than 100ms latency while using less than 2GB of ram
— Thomas Wolf (@Thom_Wolf) 24 juin 2024
that's less ram usage than many of my current Chrome page already use (my slack is using 4.8GB as I type this)
no doubt LLMs will be integrated… https://t.co/Muy8o4qPVVa 3.25B params quantized gemini running locally in coming Google Chrome with less than 100ms latency while using less than 2GB of ram that's less ram usage than many of my current Chrome page already use (my slack is using 4.8GB as I type this) no doubt LLMs will be integrated
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Claude Sonnet Model Performance Praised by Users
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Thank you. And yes, I agree. Claude Sonnet is actually killing it.
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Claude Sonnet 3.5 experiments and LLM tips
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Stay tuned to learn about more my experiments with Claude Sonnet 3.5.
— Shubham Saboo (@Saboo_Shubham_) 24 juin 2024
If you find this useful, RT to share it with your friends.
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/0AmFWUdSo8Stay tuned to learn about more my experiments with Claude Sonnet 3.5. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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Defending COLM conference selections and AI2 involvement
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COLM is new and i dont know them well enough to actually genuinely defend them but i guess to play along, 1) AI2 counts 2) academic language modeling conference !== "has trained a LLM before" 3) program chairs have trained llm before and made these selections so