Coming soon...
Coming soon...



Tools & Resources
AI and LLM's tools:
(And thare are many many more...)
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1. Language Model Development & Interaction
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LangChain – A framework for building applications that integrates and interacts with language models, allowing for complex AI workflows and automation.
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💰 Some features require API credits (OpenAI, Anthropic, etc.)
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DSPy – A tool for structured interactions with language models, simplifying integration and improving response accuracy.
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OpenAI API – An interface for accessing pre-trained language models like GPT-4 for text processing, summarization, and content generation.
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💰 Usage is billed per token; GPT-4 costs ~$0.03–$0.12 per 1,000 tokens
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2. Machine Learning & AI Frameworks
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Hugging Face – A platform providing pre-trained language and vision models, as well as datasets for AI research and development.
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💰 Some models require premium access or API credits
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PyTorch – An open-source machine learning framework with extensive tutorials and support for training deep learning models.
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Google Colab – A cloud-based environment for coding and running machine learning models without the need for local computational power.
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💰 Free tier available, but Colab Pro ($10/month) and Pro+ ($49.99/month) offer better performance and GPU access
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Data & Research Resources
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Kaggle – A repository of datasets and machine learning challenges, offering collaboration tools and cloud-based computing resources.
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Data Gov (USA) – A government-provided open data platform containing verified datasets for public use and research.
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Data Europe – A European open data repository that offers structured datasets for research and analysis.
Misinformation Detection & Verification
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Politifact – A fact-checking website that verifies claims and helps identify misinformation and fake news.
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Israeli Internet Association Fake News Guide – Guidelines for identifying misinformation and developing tools to detect and counter fake news.
AI & API Workshop - 4.5
Prerequisites:
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Create a python environment and install the requirements, instructions at ״Workshop Git​hub״
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Create a Telegram user and download the desktop app
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Create an OpenRouter account
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Create a FireCrawl account
NLP Workshop - 7.5
To make the most of the upcoming workshop, please ensure you have a working Python development environment set up in advance.
Participants should have the following Python packages installed in their environment:
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requests (version 2.20.0 or higher)
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beautifulsoup4 (version 4.9.0 or higher)
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openai (version 1.0.0 or higher)
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python-dotenv
These packages will be used for making web requests, parsing content, working with APIs, and managing environment variables.
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*Ideally, use a virtual environment to keep dependencies organized.
Language Model Development & Interaction
Machine Learning & AI Frameworks
Data & Research Resources

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