Educational Resources
Educational Resources: 8 curated artificial-intelligence tools and resources, each with the vendor and what it is used for. Part of the Guide to AI knowledge base.
Guide to AI (ai-know.org) is a free, bilingual (English and Hebrew) knowledge base about artificial intelligence: explained concepts, curated tools, a daily news digest and a browser-side token calculator. It is a static site — no account, no tracking, no paywall.
Tools in this section
GenAI Agents
NirDiamant — This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Understanding & Building LLM Applications
LinkedIn Pulse — An article by Pavan Belagatti discussing the architecture and development of applications using large language models (LLMs), including insights into their components, training, and practical applications.
Prompt Engineering with W&B
Weights & Biases — A comprehensive guide on prompt engineering using Weights & Biases, providing practical insights and examples for optimizing prompts in AI models.
Amazon Bedrock Workshop
AWS Samples — This workshop is designed for developers and solution builders to leverage foundation models through Amazon Bedrock. It provides hands-on experience with text and image generation, model customization, and integration with open-source packages like LangChain and FAISS.
LLM Fine-Tuning Course
Weights & Biases — A comprehensive course on fine-tuning large language models using Weights & Biases, providing practical insights and examples for optimizing model performance.
Parlance Labs
Parlance Labs — Parlance Labs focuses on practical AI development for production systems. Its best-known offering is a course on building evaluation systems for AI applications, taken by thousands of engineers and product managers, alongside free educational material on applying LLMs in practice.
LF AI & Data Foundation Interactive Landscape
LF AI & Data Foundation — The LF AI & Data Foundation Interactive Landscape provides a comprehensive overview of open-source AI and data projects. It is modeled after the CNCF landscape and offers insights into various tools and platforms across machine learning, deep learning, data processing, and more, helping users navigate the open-source AI ecosystem.
NVIDIA DLI Learning Paths
NVIDIA — The NVIDIA Deep Learning Institute (DLI) offers training in AI, accelerated computing and data science, and its learning paths recommend course sequences for building skills and credentials in a specific area. Key offerings: Self-paced online courses, including free courses Instructor-led workshops, also available as private training for teams Certificates in selected courses Topics such as deep learning, generative AI and LLMs, data science, AI infrastructure, and graphics and simulation The learning paths suit developers, data scientists and IT teams who want a structured route through NVIDIA's AI curriculum.