The Big Takeaway: It is VERY DIFFICULT to keep up with the state of #llms. It requires talking with and learning from other people.
However, we did curate a list of places to start:
👩🏫 Courses
DeepLearning.AI & OpenAI’s ChatGPT Prompt Engineering for Developers: lnkd.in/g-6Q6cgM
Hugging Face NLP Course: lnkd.in/gBs2-AWV
Cohere LLM University: lnkd.in/gdkhCyHC
📰 Newsletters, Blogs, and the like
TL;DR: tldr.tech/ai
The Batch: lnkd.in/guZ3ZD2N
Ben’s Bites: www.bensbites.co/
Chip Huyen Blog: lnkd.in/gVYsFCxu
ArXiv Sanity Lite: lnkd.in/gNSs2qdz
🎙 Podcasts
Practical AI: lnkd.in/gh2bg5nF
AI Breakdown: lnkd.in/gQztWfZf
TWIML AI: twimlai.com/
📺 KZitem
Two-Minute Papers: lnkd.in/gSJTRFun
CS50 (Harvard University): lnkd.in/gC4RSv9D
Stanford University MLSys Seminars: lnkd.in/gqGc9VSq
#machinelearnig Street Talk: lnkd.in/g37umSZK
🗣 People:
Andrew Ng: lnkd.in/gNHgSVGU
Andrej Karpathy: lnkd.in/g25Jk_hg
🌐 Communities
MLOps Community: mlops.community/
Discord Groups (e.g., NVIDIA)
Reddit, Inc. Groups (e.g., MLOps, LLMOps)
DEF CON AI Village: aivillage.org/
⁉ Other
Sam Altman Congressional Hearing: lnkd.in/gybn9TGt
Hacker News: lnkd.in/gbSVRb2d
Негізгі бет Ғылым және технология Community Series: Generative AI and Large Language Models: The State of LLMs
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