4. Import necessary libraries • Streamlit for building the web app
• Scrapegraph AI for creating scrapping pipelines with LLMs
CODE
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Building Web Scraping Pipelines with LLMs and Streamlit
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Setting up Ollama locally on port 11434
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3. Check that Ollama is running at localhost port 11434. If not you can try serving the model with the command: ollama serve
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Setting up Ollama with Llama-3 and embedding models
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2. Download @ollama and pull the following models: • Llama-3 as the main LLM
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Build Web Scraping AI Agent with Local Llama-3
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Build a Web Scrapping AI agent with Llama-3 running locally on your computer (100% free and without internet):
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Graph-Based Agent Development: Six-Month Deep Dive
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Did a 6 mo deep dive on graphs and now working on a graph based agent (as a weekend hobby, so it’s slow moving)
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AI Code Generation Skills Improve Exponentially for Developers
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True but current AI skill set won't be static, it'll exponentially improve I already write more than half my code with AI
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Cursor GPT-4 Integration: Best AI-Powered Code Editor
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Está brutal. De las mejores integraciones de GPT-4 en un producto. Y si te gusta VSCode te gustará Cursor porque está montado sobre él.
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Unified Knowledge Interface for Multiple Data Sources
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I like this UI (I’m making some assumptions on how this will work). Treat external databases, uploaded PDFs, app API data, etc all as “knowledge”, and let the magic happen in back-end so it’s all the same to a user. Ideally storing docs and connections at an account/team level
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15 Minute Hackathon for Speed Running Code
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I love speed running code. Someone should run a 15 min hackathon
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AI tool that breeds new projects from two code repositories
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That would a fun AI tool that “breeds” new projects where you give it two repos it comes up and writes code for something that uses both