10+ Tools to Use AI in the Terminal скачать в хорошем качестве

10+ Tools to Use AI in the Terminal

In this video, we dive deep into various tools and techniques that allow you to leverage large language models directly in your command line interface. Like & Subscribe! :) 📚 Chapters: 00:00 - Introduction to Using AI in the Terminal 01:00 - Setting Up LLMCLI by Simon Willison 02:00 - Exploring Models and Configurations with LLMCLI 03:00 - Running Local Models with Olamma 04:00 - Managing Model Memory and Performance 05:00 - Working with Local Databases Using Data Set CLI 06:00 - Accessing and Filtering Interaction Logs 07:00 - Utilizing Embeddings with LLMCLI 08:00 - Creating Embeddings and Searching for Similarities 09:00 - Converting Notes to Embeddings and Database Queries 10:00 - Understanding Embedding Scores and Context 11:00 - Generating Screenshots with Shot Scraper 12:00 - Piping Data in the Terminal for Enhanced Productivity 13:00 - Managing and Cleaning Terminal Output with Aliases 14:00 - Using Bash and Python Scripts in Coordination with LLMs 15:00 - Building Customized Aliases for LLM Interactions 16:00 - Incorporating Piped Output into Advanced Scripts 17:00 - Integration with Clipboard for Fast Workflow 18:00 - Capture and Manipulate Output from LLMs 19:00 - Chaining Prompts for Tiered Information Processing 20:00 - Exploiting PDF to Text for Document Insights 21:00 - Introduces git ingest and Reminders of Token Cost 22:00 - Utilize r.jina.ai for Webpage to Markdown Conversion 23:00 - Tools like Repo Mix and Files to Prompt for Efficient File Management 24:00 - Agentic Use Cases with Autogen and Magenta CLI 25:00 - Claude's Generative Capabilities in Project Building 26:00 - Exploring Python Scripts with UV for Smooth Execution 27:00 - Utilizing Inline Metadata for Efficient Packaging 28:00 - Demonstrating UV-Run Python Scripts Step-by-Step 29:00 - Using Python for LLM Output Navigation and Automation 30:00 - Setting Up Claude Projects for Script Creation 31:00 - Using Jinja Templates for Customized Text Processing 32:00 - Final Demonstrations with Mermaid, OCR, and Image Processing 33:00 - Exploring Layered Control for AI-Driven Terminals 34:00 - Closing Remarks and Future Considerations This timeline provides a concise overview of the key segments discussed throughout the video. 🔗 Links: Subscribe!:    / @automatalearninglab   Tiktok: https://www.tiktok.com/@enkrateialucc... Twitter:   / lucasenkrateia   LinkedIn:   / lucas-soares-969044167   Prompt Engineering course: https://automatalearninglab.thinkific... Support the Channel! Buy me a cup of coffee: https://tr.ee/7tYsD-tUu2 Paypal: https://paypal.me/lucasenkrateia?coun...