NEW: Post-Training Optimization Multimodal Retriever (Stanford Univ, MIT)

[@code4AI]

I do not recommend expensive commercial products in my video - however some user try a product commercialization in the comments of my videos. Commercial products that are mentioned as foreign comments to my videos are not recommended by me and I will delete all other comments, especially if you think you can commercialize your product as a comment to my videos. This comment will stay online as a warning.

[@irbsurfer1585]

My most sincere apologies. I will refrain from mentioning goods for implementing lessons on your channel in the future. I am your number one fan and don't want to offend you or create issues. Experimenting with ideas from your lessons can be really exciting especially when they lead to immediate results that are really impressive. I got excited and a little ahead of myself and should have used better judgment. I try to watch the video, read parts of the paper, reflect on key lessons, and create an experiment all within an hour (lunchtime) and didn't give the comment enough thought before sharing. I REALLY look forward to your videos EVERY day!

[@u0u79z]

Your doing great work bro , I found your channel just few days ago and I show your almost 50-60% content and yesterday you post 2 videos in a day and today also this video ...Keep going bro 🫡❤️‍🔥💙

[@u0u79z]

If you comfortable , I am a beginner and start my journey in ML and I find your videos so interesting, so please can you give some resources or tips to became ML engineer

[@matt.lehodey]

@@u0u79z look for papers on arxiv, get LLM to summarise and teach it to you, then get Cursor to apply the concepts on your personal framework, that’s the way I’m doing it:)

[@irbsurfer1585]

He reads 100-300 new research papers every day. Like most of the time I think he does it 7 days a week. He is a learning machine on the cutting edge of technology who takes the time to share what he has learned with the world saving us time while at the same time breaking down the more complex topics into terms even the newcomers (green grasshoppers) can understand. Welcome to the channel!

[@code4AI]

Awesome! Thank you!

[@42svb58]

Love the coverage of this. I am wondering the inference speed since using embeddings on commercial models during embedding and comparisons takes an extremely long time!