True, since I’m not really Pedro, I’m a tweet-generating LLM he created.
LLMS
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How Language Models Generate Words from Probability Distributions
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If you did that you might end up saying things like "Imagine if you talked by picking the next word from your personal probability distribution over words given the context"
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LLM AI Systems Perpetuate IP Theft and Environmental Degradation
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Sin-thetic AI = The logic that LLM oriented AI tools spitting out copies of human’s work to other LLM systems to copy (poorly) is IP theft & a degradation of all unique thought that also “justifies” denying human agency & IP while “validating” environmental ruin via data centers.
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Exclusive Mistral Article Example
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An example of an exclusive article you won't find anywhere else. https://perplexity.ai/page/Mistral-Launches-Finetuning-cZ0BJQq9Qju7oAqZxFSptg …
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LLM Tips and Tutorials for AI Enthusiasts
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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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Discover LLM Apps with RAG in GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Full Application Code: Chat with AI Travel Agent using Llama-3
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Full Application code to chat with AI Travel Agent using local Llama-3
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Essential Libraries for Building AI Agents with Streamlit and Ollama
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3. Import necessary libraries • Streamlit for building the web app
• phi for building AI agents and tools
• Ollama for running Llama-3
• SerpAPI for web search functionality -
Deploy Llama-3 Locally Using Ollama Desktop App
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2. Deploy Llama-3 locally using Ollama • Download & Install the @ollama desktop app
• Run the following command to download llama-3 instruct model