LLM Bootcamp – The Full Stack, Spring 2023 The Full Stack (Deep Learning) just released a whole brand new bootcamp about Large Language Models(LLMs) for FREE. LLM Bootcamp contains seven lectures covering topics like prompt engineering, LLMOps, UX for Language User Interfaces,
@jeande_d
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Interest in LLM Applications for MLOps
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I agree. Wonder too. It would be cool to see some works that apply LLMs in MLOps.
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MLOps Comprehensive Guide with Learning Resources Available
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MLOps – A Comprehensive Guide A long awaited guide on MLOps is available on Complete Machine Learning Package. This guide introduces MLOps and provides learning resources(books, courses, blogs, papers) that could be helpful on the course of learning MLOps. The guide is
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Multimodal Machine Learning Resources Collection Started
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I have started to put multimodal machine learning resources together. It contains courses, lecture videos, survey papers, workshops, so far. Give us a star if you like it 😀
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ImageBind: Revolutionary Multi-Modal AI Model for Six Data Types
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ImageBind: One Embedding Space To Bind Them All ImageBind is a new and the first model capable of learning from six modalities(images, text, audio, depth, thermal, and IMU data). ImageBind extends zero-shot capabilities of vision-language systems to new modalities by using
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Prompt Engineering: Crafting Expressive Prompts for Complex Tasks
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Prompt engineering boils down to writing “expressive” prompts. Explains why techniques like chain of thoughts works well for complex tasks.
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No standardized approach yet, check Chip Huyen’s LLM engineering blog
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I think there is no standardized way yet. You might find Chip Huyen blog helpful regarding that. https://
huyenchip.com/2023/04/11/llm
-engineering.html
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Comprehensive Article on Prompt Engineering Techniques and Strategies
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Prompt Engineering – Article Excellent article on prompt engineering. Covers almost all prompting techniques such as basic prompting strategies(zero-shot, few-shot), instruction prompting, self-consistency, chain of thoughts(CoT), augmented LMs, etc… As opposed to classical
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GPT-4: Understanding How It Works and Building Apps
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GPT-4 – How does it work, and how do I build apps with it? – CS50 Tech Talk This is a great lecture from CS50 on how GPT-4 works and how to build native-AI apps on top of GPT-4. Covers theoretical background about LLMs first and proceeds with building with GPT-4.
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ChatGPT Prompt Engineering Course by OpenAI and DeepLearningAI
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ChatGPT Prompt Engineering for Developers – Course by Isa Fulford(OpenAI) and Andrew Ng. DeepLearningAI and OpenAI introduced a new course on prompting engineering with ChatGPT. The course covers how to write effective prompts, how to systematically engineer good prompts, and