Pinned Repositories
Building-Systems-with-the-ChatGPT-API
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
ChatGPT-Prompt-Engineering-for-Developers
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
Finetuning-Large-Language-Models
Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).
Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
LangChain-Chat-with-Your-Data
Start building practical applications that allow you to interact with data using LangChain and LLMs.
LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
LLM-finetuning-scripts
Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
Open-Source-Models-with-Hugging-Face
"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.
carlos-ruiz-moreno's Repositories
carlos-ruiz-moreno/Building-Systems-with-the-ChatGPT-API
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
carlos-ruiz-moreno/ChatGPT-Prompt-Engineering-for-Developers
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
carlos-ruiz-moreno/Finetuning-Large-Language-Models
Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).
carlos-ruiz-moreno/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
carlos-ruiz-moreno/How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
carlos-ruiz-moreno/LangChain-Chat-with-Your-Data
Start building practical applications that allow you to interact with data using LangChain and LLMs.
carlos-ruiz-moreno/LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
carlos-ruiz-moreno/LLM-finetuning-scripts
carlos-ruiz-moreno/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
carlos-ruiz-moreno/Open-Source-Models-with-Hugging-Face
"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.