Informed commentary and personal analysis.
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry specific models with #device level tuning inference + cloud generalization seems more…
#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not integrated. #SI is one way to improve the whole process. While the…
Trying to catch up on all the news around what happened at OpenAI. There are a lot of rumours around Q*, AGI, Self Taught Reasoning and Optimizing, Synthetic data and related algorithms.…
Another good one from #GMO Grantham on the current super #bubble. 2023 will be another #bear #market in my view. Base case is still 50% correction from 2021 peak for all markets…
Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building ML/SI/DL models is availability of good, clean, relevant and large datasets. Very…
This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and ensemble algorithms like Random Forest and XGBoost. The objective is…
This 10% #selloff is just the beginning. Even a 50% #correction would only get to pre #covid levels, when #global #economy was doing fine. #Valuations were #crazy stupid. #Crypto #SPAC #EV bullshit…
