Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
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1- LLM UniversityThe course provides an understanding of how LLM work, their practical applications, and guides students in using LLMs to build and deploy applications. https://docs.cohere.com/docs/llmu
2- hugging face NLP courseThis course provides comprehensive knowledge of Hugging Face transformers, datasets, tokenizers, and the Accelerate tool in the field of Natural Language Processing (NLP). https://huggingface.co/learn/nlp-course/chapter1/1
3- DeepLearningAIA collection of free courses created in collaboration with many companies such as LangChain, OpenAI, Google, Weights & Biases, Microsoft and others. https://www.deeplearning.ai/short-courses/
4- Weights_biases courseThis course shows how to create LLM-based applications using API, Langchain и W&B Prompts . He talks about developing, experimenting, and evaluating LLM-oriented applications. https://www.wandb.courses/courses/building-llm-powered-apps
5- Introduction to LLMs course by google cloudAn introductory level course covering what LLMs are, their use cases, and how to improve LLM performance using prompt tuning https://www.cloudskillsboost.google/course_templates/539
6- Databricks coursesThe program includes two courses: " LLMs: Application through Production " and " LLMs: Foundation Models from the Ground Up " https://www.databricks.com/blog/enroll-our-new-expert-led-large-language-models-llms-courses-edx
7- Course "LangChain & Vector Databases in Production" from activeloopai, towards_AI and IntelThe three-course series will provide students with the knowledge and skills to learn, fine-tune, and integrate LLM into production. https://learn.activeloop.ai/courses/langchain
8- LLM BootcampCovers topics such as Prompt Engineering, LLMOps, UX for language user interfaces, augmented language models, rapid LLM application development, future trends in LLM, fundamental concepts and walkthrough of askFSDL. https://fullstackdeeplearning.com/llm-bootcamp/ https://t.me/CodeProgrammer More Likes, Share, Subscribe 😉
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