Best LLM and LLMOps Resources for 2023
Curated list of best courses, books, resources on large language model
Reading_time: 6 min
Tags: [Large Language Models, GPT-3, ChatGPT, Books, Courses And Training]
- ๐๐๐ฌ๐ญ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ, ๐๐จ๐จ๐ค๐ฌ ๐๐ง๐ ๐ซ๐๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐ญ๐จ ๐ฌ๐ญ๐๐ซ๐ญ/๐๐๐ฏ๐๐ง๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ ๐๐ง๐ ๐๐๐๐๐ฉ๐ฌ ๐ฃ๐จ๐ฎ๐ซ๐ง๐๐ฒ:
- ๐ฉโ๐ซ Courses
- ๐ฅ Curated List
- ๐ Top LLM Books
- ๐ LLM Reading List
๐๐๐ฌ๐ญ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ, ๐๐จ๐จ๐ค๐ฌ ๐๐ง๐ ๐ซ๐๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐ญ๐จ ๐ฌ๐ญ๐๐ซ๐ญ/๐๐๐ฏ๐๐ง๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ ๐๐ง๐ ๐๐๐๐๐ฉ๐ฌ ๐ฃ๐จ๐ฎ๐ซ๐ง๐๐ฒ:
๐ฉโ๐ซ Courses
๐ Generative AI learning path: https://www.cloudskillsboost.google/paths/118
๐ Full Stack LLM Bootcamp : https://lnkd.in/eH8VXpwB
๐ LLM University to learn about LLMs and NLP โ Cohere : https://lnkd.in/etKAjaYg
๐ Deploying GPT and Large Language Models โ Oreilly : https://lnkd.in/eDDivjB6
๐ Professional Certificate in Large Language Models- edX : https://lnkd.in/edg3gPzQ
๐ Understanding Large Language Models โ Princeton University : https://lnkd.in/eE44cmza
๐ Natural Language Processing Specialization โ coursera : https://lnkd.in/eNGDYGeA
๐ Large Language Models โ The Stanford CS324 : https://lnkd.in/eJKfDTHK
๐ Transformers Course โ HuggingFace : https://lnkd.in/eY2-NdGG
๐ Large Language Models โ Class Central : https://lnkd.in/exVh6g-K
๐ Large Language Models โ Rycolab : https://lnkd.in/eRR_EzGW
๐ฅ Curated List
Elevate your Generative AI expertise with a carefully curated selection of Andrew Ngโs GenAI courses. Expand your skill set through focused modules offered by DeepLearning.AI โ https://www.deeplearning.ai/short-courses/
๐ ChatGPT Prompt Engineering for Developers: Go beyond the chat box. Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot. Level : Beginner to Advanced
๐ Link : https://lnkd.in/gWZUEK2A
๐ Building Systems with the ChatGPT API Level up your use of LLMs. Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs.
Level : Beginner to Advanced
๐ Link : https://lnkd.in/gq9kjmQf
๐ LangChain for LLM Application Development The framework to take LLMs out of the box. Learn to use LangChain to call LLMs into new environments, and use memories, chains, and agents to take on new and complex tasks.
Level : Beginner
๐ Link: https://lnkd.in/ggpgxHm7
๐ LangChain: Chat with Your Data Create a chatbot to interface with your private data and documents using LangChain.
Level : Beginner
๐ Link : https://lnkd.in/gUZrfksz
๐ Building Generative AI Applications with Gradio Create and demo machine learning applications quickly. Share your app with the world on Hugging Face Spaces.
Level : Beginner
๐ Link : https://lnkd.in/gCHRS7nv
๐ Evaluating and Debugging Generative AI Learn MLOps tools for managing, versioning, debugging and experimenting in your ML workflow.
Level : Intermediate
๐ Link : https://lnkd.in/gdZd-prA
๐ How Diffusion Models Work Learn and build diffusion models from the ground up. Start with an image of pure noise, and arrive at a final image, learning and building intuition at each step along the way.
Level : Intermediate
๐ Link : https://lnkd.in/g7ajmY4X
๐ Finetuning Large Language Models Learn to finetune an LLM in minutes and specialize it to use your own data
Level : Intermediate
๐ Link : https://lnkd.in/ghxMEpCX
๐ Functions, Tools and Agents with LangChain Learn about the most recent advancements in LLM APIs.Use LangChain Expression Language (LCEL), a new syntax to compose and customize chains and agents faster.
Level : Intermediate
๐ Link : https://www.deeplearning.ai/short-courses/functions-tools-agents-langchain/
๐ LLMOps Learn LLMOps best practices as you design and automate the steps to tune an LLM for a specific task and deploy it as a callable API. In the course, youโll tune an LLM to act as a question-answering coding expert.
Level : Beginner
๐ Link : https://learn.deeplearning.ai/courses/llmops/lesson/1/introduction
๐ Advanced Retrieval for AI with Chroma Learn advanced retrieval techniques to improve the relevancy of retrieved results.
Level : Intermediate
๐ Link : https://learn.deeplearning.ai/courses/llmops/lesson/1/introduction
๐ Top LLM Books
๐ Practical Natural Language Processing โ Oreilly : https://lnkd.in/eKBHvdzM
๐ Natural Language Processing with Transformers โ Oreilly : https://lnkd.in/ehazWcMY
๐ Transformers for Natural Language Processing โ Packt : https://lnkd.in/e_Y5cX6c
๐ GPT-3: Building Innovative NLP Products Using Large Language Models : https://lnkd.in/eSpvDErp
๐ Hands-On Generative AI with Transformers and Diffusion Models: https://www.oreilly.com/library/view/hands-on-generative-ai/9781098149239/
๐ Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs : https://lnkd.in/erbhdEjU
๐ LLM Reading List
๐ Understanding Large Language Models-A Transformative Reading List : https://lnkd.in/eEv2vi2w
๐ Practical Deep Learning for Coders : https://course.fast.ai
๐ The Annotated Transformer : https://lnkd.in/et883Grd
๐ The Illustrated Transformer : https://lnkd.in/ehc9Bpk7
๐ Langchain Demo : https://lnkd.in/eWyWzZrb
| ๐ State of GPT | BRK216HFS : https://www.youtube.com/watch?v=bZQun8Y4L2A&themeRefresh=1 |
๐ Awsome LLMOps โ GitHub : https://lnkd.in/e3KNspKi
๐ Awsome LLM Repo โ GitHub : https://lnkd.in/eR2JwbPV
๐ LLM Cheatsheet โ Github : https://github.com/Abonia1/CheatSheet-LLM
๐ LLMOps โ https://vinija.ai/concepts/LLMOps/
๐ OpenAI Cookbook โ https://github.com/openai/openai-cookbook
Conclusion:
I hope you found this compilation of resources on large language models to be beneficial. We have included a variety of courses, books, reading lists, and other valuable resources and frameworks that can assist you in constructing your own impactful applications based on LLMs. Stay tune for another intresting article on LLM.
Keep an eye out for future updates to this list, and stay tuned for another intriguing article on LLM.
