🎉 Excited to share that I've received the Research Excellence Award from @IowaStateU ! 🏆 Grateful for the support of my mentors Dr.Soumik Sarkar, Dr.Anwesha Sarkar and Dr.Adarsh Krishnamurthy and colleagues. Your guidance and encouragement have been invaluable!
Thank you all!!
From GPT to MoE: I reviewed & compared the main LLMs of 2025 in terms of their architectural design from DeepSeek-V3 to Kimi 2.
Multi-head Latent Attention, sliding window attention, new Post- & Pre-Norm placements, NoPE, shared-expert MoEs, and more...
https://t.co/oEt8XzNxik
Big news for data science in higher ed! 🚀Colab now offers 1-year Pro subscriptions free of charge for verified US students/faculty, interactive Slideshow Mode for lectures, & an AI toggle per notebook. Enhance teaching & learning in the upcoming academic year! Read all about it here: https://t.co/OCgVqxrHmU. #GoogleColab #EdTech.
@cwolferesearch Also for LaaJ, we should use models from different providers to evaluate responses, apparently LLMs from same provider prioritize or critique less!
Since it's summer, and more or less internship and tech interview season, I made all 30 chapters of my Machine Learning Q and AI book freely available for the summer:
https://t.co/vzZHdwTSuF
Hope it’s helpful! Happy reading, and good luck if you are interviewing!
VLMS 2025 UPDATE 🔥
We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more!
find it on the next one ⤵️
🚀 Excited to share that I will be attending NVIDIA GTC 2025 and presenting a poster titled: "AI and AFM-Assisted Structure Prediction of Protein Complexes". Collaborators: Md Hasibul Hasan Hasib, Nabila Masud, Soumik Sarkar, Adarsh Krishnamurthy and Anwesha Sarkar.
📢 I am also actively seeking full-time opportunities in Deep Learning, Computer Vision. If you are hiring or know of relevant roles, I would appreciate any connections or insights! My homepage: https://t.co/nNEx0Y4D0w
There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper so I barely even touch the keyboard. I ask for the dumbest things like "decrease the padding on the sidebar by half" because I'm too lazy to find it. I "Accept All" always, I don't read the diffs anymore. When I get error messages I just copy paste them in with no comment, usually that fixes it. The code grows beyond my usual comprehension, I'd have to really read through it for a while. Sometimes the LLMs can't fix a bug so I just work around it or ask for random changes until it goes away. It's not too bad for throwaway weekend projects, but still quite amusing. I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.
🎉 Excited to share that I've received the Research Excellence Award from @IowaStateU ! 🏆 Grateful for the support of my mentors Dr.Soumik Sarkar, Dr.Anwesha Sarkar and Dr.Adarsh Krishnamurthy and colleagues. Your guidance and encouragement have been invaluable!
Thank you all!!