Summary of Narzędziownik AI 5/5 2025 2

Summary of "Narzędziownik AI 5/5 2025 2"

This extensive video is the fifth and final part of a comprehensive AI tools training series focused on the future of AI in various professional domains, particularly trade, sales, influencer marketing, and content supplementation. The presenter, Tomasz Turba (often called Tomek), who works at Securitum and is a prolific AI trainer, guides viewers through a detailed exploration of AI technologies, practical tools, and workflows, including live demonstrations and Q&A.

Key Technological Concepts and Product Features Covered:

1. AI Training and Toolbox Specializations:
   • Discussion on future AI toolkits tailored for specific professions (graphic designers, cooks, lawyers, hackers, accountants, programmers, scientists).
   • Emphasis on local AI models and closed corporate training focused on data science fundamentals and practical AI applications.
   • The importance of continuous AI education and specialization.
2. Inference and Hugging Face Platform:
   • Explanation of inference in AI: applying pre-trained models to data without retraining.
   • Hugging Face as a key platform for accessing, running, and deploying thousands of AI models (over 800 million models and 42+ task categories).
   • Use of Hugging Face Spaces to run models with web interfaces (e.g., Stable Diffusion for image generation).
   • Deployment of models on cloud GPUs (AWS, GCP) with cost considerations and autoscaling settings.
   • Demonstration of running Polish LLM "Bielik" (White-tailed Eagle) model on Hugging Face, including conversational capabilities and integration with news scraping.
3. Max KB: Open Source AI Assistant Framework
   • Installation and setup via Docker on Windows/Linux.
   • Supports local and API-connected LLMs (e.g., OpenAI, local Llama).
   • Features include knowledge base creation, document uploading (PDFs, images, audio), automatic document segmentation, and RAG (retrieval-augmented generation).
   • Workflow builder for creating customized AI assistants.
   • Licensing and pricing tiers explained, with a free tier and paid professional editions.
   • Emphasis on data privacy and local processing, with some caution about Chinese origin and potential cloud data handling.
4. AI Tools for Sales and Trade:
   • Website scraping tools like Instant Data Scraper (Chrome extension) for data extraction.
   • Trend analysis tools such as Exploding Topics and Google Trends for market forecasting.
   • Cold email automation tool "Woodpacker" (Polish origin) supporting campaign flows, A/B testing, and lead management.
   • Sentiment analysis tools for stock market and sales data (e.g., sztok sentiment).
   • Chatbots for sales support and customer engagement, including Elephant AI for chatbot creation with website scraping for knowledge base.
   • Fireflies.ai for meeting transcription, summarization, and sales analytics.
   • Other tools: LM Notebook by Google for note summarization and mind mapping; N8N for workflow automation including invoice extraction and sales data analysis.
5. AI for Promotion and Social Media:
   • Social media content promotion and automation tools (e.g., Metricool for multi-platform analytics and scheduling).
   • Tools for viral content analysis and sound/video downloads like Pikuki and Exolith (OSINT and influencer marketing analytics).
   • Video editing and summarization tools like Vid IO and Note GPT for automated content repurposing.
   • Chat Simple for customizable chatbots integrated with websites and CRM systems.
   • Discussion on influencer marketing economics and the complexity of managing multi-platform presence.
6. AI Code Assistance and Automation:
   • OpenAI Codex for AI-assisted coding, code review, and optimization.
   • Demonstration of integrating Codex with GitHub repositories for automated code fixes and pull requests.
   • Use of AI agents to autonomously analyze and improve codebases.
7. AI Model Deployment and Cost Management:
   • Detailed walkthrough of deploying AI models on cloud GPUs with cost and security considerations.
   • Autoscaling to prevent runaway costs.
   • Differences between CPU and GPU deployments and cost implications.
8. Additional Topics and Tools:
   • Discussion on Google Gemini VO3 model accessibility and alternatives like Replicate for running restricted models.
   • NFTs and blockchain for monetizing AI-generated content.
   • Platforms like Gamroad for selling AI tools and automation scripts.
   • Local AI model usage, embedding models, and privacy concerns.
   • AI-powered project management tools like Toms Planner and Task Aid.
   • Training and certification opportunities at Securitum Academy, including cybersecurity and AI law/compliance.

Guides and Tutorials Provided:

• How to deploy and manage AI models on Hugging Face inference endpoints.
• Installation and configuration of Max KB AI assistant locally using Docker.
• Building knowledge bases and AI chat assistants with Max KB.
• Using Woodpacker for cold email campaigns with AI-generated content and A/B testing.
• Creating chatbots with Elephant AI and

Category

Technology

Video