Hugging Face
LLM Course
Large language models with the Transformers library, from using them to fine-tuning.
- Hugging Face
- Self-paced
- Free course
Free online
Learn Hugging Face online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Hugging Face
Large language models with the Transformers library, from using them to fine-tuning.
DeepLearning.AI
The availability of models and their weights for anyone to download enables a broader range of developers to innovate and create. In this course, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Eas…
Hugging Face
How AI agents work, and building them with smolagents, LangGraph and LlamaIndex.
DeepLearning.AI
Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, inclu…
Hugging Face
By the end of this course, you will be able to: • Explain the role of models, datasets, and Spaces in the HF ecosystem and use the pipeline API to run inference across text, vision, and audio tasks. • Tokenize and encode text inputs using AutoTokenizer, handle padding and truncation, and apply chat…
Hugging Face
Speech recognition, audio classification and text-to-speech with transformers.
Udacity
This course covers the fundamentals and applications of sequence modeling. The course begins with an overview of sequence models and their significance, followed by hands-on lessons to tokenize text and develop embeddings using PyTorch. Participants will explore recurrent neural networks (RNNs) and…
IBM
A short hands-on project: AI Model, Caikit, HuggingFace.
IBM
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.
Hugging Face
By the end of this course, learners will be able to: • Load and preprocess HF Hub datasets, fine-tune a pre-trained model with the Trainer API, compute evaluation metrics, and push the result to the Hub with a model card. • Build interactive AI applications using gr.Interface and gr.Blocks with mul…
freeCodeCamp
In this comprehensive Generative AI course from @dswithbappy, you'll dive deep into the world of generative AI, exploring key concepts such as large language models, data preprocessing, and advanced techniques like fine-tuning and RAG. Through hands-on projects with tools like Hugging Face, OpenAI,…
IBM
A short hands-on project: Artificial Intelligence, Computer Vision, Image Processing.
Duke University
By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile.
IBM
Build in-demand skills in generative AI application development and get hands-on experience creating intelligent chatbots and apps using popular LLMs, RAG technology, and IBM watsonx.
IBM
A short hands-on project: Embeddable AI, LLM, Natural Language Processing.
Hugging Face
Build Generative AI Apps With Hugging Face