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Original: Data Science Memes
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Original: Data Science Memes
Generate viral LinkedIn posts in your style for free.
Generate viral LinkedIn posts in your style for free.
DeepLearning.AI
These are the best posts from DeepLearning.AI.
8 viral posts with 20,938 likes, 351 comments, and 647 shares.
4 image posts, 0 carousel posts, 2 video posts, 2 text posts.
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Best Posts by DeepLearning.AI on LinkedIn
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In this course, built in collaboration with Mistral AI, and taught by Sophia Yang, Ph.D., you’ll access three open source models (Mistral 7B, Mixtral 8x7B, and the latest Mixtral 8x22B), and three commercial models (small, medium, and large), via API calls, and learn to:
➡ Select the right model for your use case, and decide whether your task is either simple, medium, or advanced.
➡ Use Mistral's built-in function calling.
➡ Build a chat interface to interact with the Mistral models and ask questions about a document that you upload.
This beginner-friendly course is perfect for recommending to friends and colleagues who want to learn to leverage LLMs effectively and easily.
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Learn to use the o1 model for advanced reasoning tasks in Reasoning with o1, a free course taught by OpenAI's Colin Jarvis.
This course explores how the o1 model excels in tasks like coding, planning, and vision reasoning. You’ll discover how it uses chain-of-thought reasoning to break problems into smaller steps and test multiple strategies for better results.
With practical examples, you’ll learn:
✅ How to use o1 for coding tasks, from writing new applications to debugging and testing code.
✅ How to process and analyze images with hierarchical reasoning.
✅ Techniques like meta-prompting to optimize prompts and improve outputs.
✅ How to combine o1 with faster, lower-cost models for efficient workflows.
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Join our latest course, Building and Evaluating Advanced RAG Applications, built in collaboration with TruEra and LlamaIndex.
This new course equips you with tools to build production-ready RAG applications.
You’ll learn:
➡️ Two advanced retrieval methods: sentence-window retrieval and auto-merging retrieval.
➡️ Evaluation and experiment tracking to optimize your RAG pipeline performance.
➡️ The RAG evaluation and comparison triad: Context Relevance, Groundedness, and Answer Relevance.
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Designed for everyone from business leaders to professionals and beyond, this course will help you:
✅ Understand the fundamentals of Generative AI.
✅ Learn its practical applications to enhance your work efficiency.
✅ Dive deep into the ethical considerations and societal implications of AI.
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