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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TOOLS
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Installing Clarifai SDK, Llama-index, and Setting Up PAT
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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 LLM RAG App Chat PDF Files GPT-4 Mini
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Build a LLM app with RAG to chat with PDF files using GPT-4 o mini in just 4 lines of Python code:
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OpenAI’s AI Chip and Latest AI Developments Today
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Top stories in AI today: -OpenAI wants its own AI chip
-The state of AI humanoids and robotics
-How to test and customize GPT-4o mini
-Apple’s new 7B open-source AI model
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/openai-plans
-its-own-ai-chip
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Web Enhancement Tools for Better User Experience
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You should use it for ad-blocking, removal of cookie popups and other annoying popups, and restructuring and polishing the page for better readability and user experience.
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Chinese Video Generator Kling Opens to Global Market
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Kling, el generador de vídeo chino, próximamente abierto al mundo
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Pgvector Now Faster than Pinecone at 75% Less Cost
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Pgvector Is Now Faster than Pinecone at 75% Less Cost https://
bit.ly/4cA1REU
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Overview of RenderNet AI Image and Video Generation Tool
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Introduction : @rendernet_ai / http://
rendernet.ai ⁃ Un générateur d'images et de vidéos IA offrant une qualité exceptionnelle.
⁃ Création d'images IA offrant un contrôle sans précédent
⁃ Contrôle total du visage et de la pose, atteignant la perfection en quelques -

Wind Turbine Efficiency Optimized Using MATLAB Model Predictive Control
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Researchers at RWTH Aachen and W2E Wind to Energy GmbH have optimized wind turbine efficiency using @MATLAB and model predictive control. Discover how they achieved this https://
spr.ly/6017ivWk9 -
Arize Phoenix: LLM Monitoring with One Line of Code
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#solarllm @ArizePhoenix is amazing. Adding just one line can run a monitoring server:
ssession = px.launch_app() You can monitor the entire LLM-related input and output on a chain with one line:
LangChainInstrumentor().instrument() Check out the full example at the SolarLLM