genai
This is a hands-on course where you'll learn to build apps using GenAI APIs like OpenAI, Google Gemini, or Cohere. We’ll explore how to use prompts, manage context, build chatbots, and connect LLMs to your own data using tools like LangChain, Pinecone, and Next.js. No AI background required — just JavaScript and curiosity.
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Generative AI (GenAI) is a class of machine learning models designed specifically to generate new data that resembles the data it was trained on.
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Deep diving into how LLM's work by understanding "Attention is all you need" research paper
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Prompting techniques, or prompt engineering, refer to the strategies used to design and refine the instructions (prompts) given to AI models to elicit specific and desired outputs.
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Agents are LLMs equipped with external tools that let them perform actions beyond text generation. They become active problem-solvers rather than passive responders.
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we're building a project by using all the concepts we learnt
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React Native is a framework for building native apps using React.
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An opinionated toast component for React.
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You'll learn how to make user queries better.
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Learn how to intelligently route user queries to the most suitable Large Language Model (LLM) based on their strengths, ensuring optimal performance, accuracy, and cost-efficiency in GenAI applications.
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Learn why knowledge graphs (with vectors) unlock relationships in AI data and they solve Context Gaps. Includes Cypher queries, LangChain code, and use cases.
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observability toolkit for reliable AI systems in production.
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This is the collection of words and meaning related to GenAi understanding.
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