👋 Hello, team!

👋 Hello, team! See you tomorrow

See you tomorrow for the AI Engineering book discussion! I also added Hands-On APIs for AI and Data Science to the line up for May. It will be a nice break from LLM focused content and talk about deployment! AI Engineering - AI Book Club by Chip Huyen - March 25th 2025 | https://lnkd.in/gCqg-R3q AI Book Club: AI Agents in Action by Micheal Lanham - April 29th 2025 | https://lnkd.in/gY69yqcE Hands-On APIs for AI and Data Science by Ryan Day - May 27th 2025 | https://lnkd.in/gBMibjRN

Agent frameworks we mentioned: • https://www.crewai.com/ • https://huggingface.co/docs/smolagents/index • https://docs.llamaindex.ai/en/stable/ • https://www.langchain.com/langgraph • https://ai.pydantic.dev/

Excited to see what the next book uses!

Hi, I have a Question related to AI-Engineering Chapter 8 (Chip Huyen) - Dataset Engineering (Page No. : 703): Below is the excerpt: “You investigate and find that in the training data, there are several examples of annotations with unsolicited suggestions. You put in a request to remove these examples from the training data and another request to acquire new examples that demonstrate fact-checking without unsolicited rewriting.” What is being suggested is an unlearning process. Is there a way to make a neural network forget/remove certain trained data after it has been trained. According to me what the above section suggest is: retraining the model from a previous checkpoint (before the corrupted data was used to train) with the new data. Any idea?

@fancy-car-5539 has left the channel

If you're using the O'rielly platform there is a video course for AI Agents in action (this month's book) as well: https://learning.oreilly.com/videos/ai-agents-in/9781633436343VE/

Anyone reading the book so far?

This is the github for the AI Agents in Action book: https://github.com/cxbxmxcx/GPT-Agents

You can join the discussion at 1pm PT tomorrow! https://www.linkedin.com/events/7298846715095236609/comments/

Thank you everyone who joined today! I'll compile the interesting tools / links and share later!

My agent experiments - https://github.com/orgs/Sij-Agentic/repositories

Reminder our next book for May is Hands-On APIs for AI and Data Science! • Event Link: https://www.linkedin.com/events/7309440977713147904/comments/ • Book Link: https://learning.oreilly.com/library/view/hands-on-apis-for/9781098164409/

GitHub Repo for the book: https://github.com/handsonapibook

Hello! Just discovered the bookclub and would love to come prepared for the next. What's the book for June again?

Thanks everyone for joining the Book club yesterday! The chat was super energetic. You can say hello in the #C01RXBFV1M5 channel and let us know more about you!

githuub for this months book: https://github.com/aburkov/theMLbook

This is the note slide for all the stuff we wrote down, I may make it a list and post here later, but if you don't want to wait! https://docs.google.com/presentation/d/1bdv48_hlbDN8Xgn85xzWyMJ_kRwxBeFhZX8cCCc384k/edit?slide=id.g3518d45cb70_0_0#slide=id.g3518d45cb70_0_0

O'Reilly has a Humble Bundle right now that might be interesting for some on the call: https://www.humblebundle.com/books/machine-learning-ai-and-bots-oreilly-2025-books?hmb_[…]e_index_2_c_machinelearningaiandbotsoreilly2025_bookbundle

Thank you everyone for joining today! Don't forget you can also intro yourself in the #C01RXBFV1M5 channel and let us know more about you! In the coming months we're going to be doing some more community so stay tuned!

Reminder next book is Reinforcement Learning for Finance! As I mentioned I'm trying out Luma for events as well so the calendar there should hopefully be useful for getting notifications. https://lu.ma/kvsmk92u

@cool-nest-98527 has left the channel

@nutritious-piano-11388 has left the channel

Code repo for this months book: https://github.com/yhilpisch/rl4f

The next book is Building Agentic AI systems! https://lu.ma/q5ltmyjt

Starting a discussion thread here for the book as well! It sounded like one quite a few were going to read so if you have any thoughts & questions as you're reading feel free to put them in this channel or thread 🧵