End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts
AI
-
Essential Resources for Data Science ML AI and Analytics
By
–
-
Bright Data Solutions: Multi-Use AI Platform for Enterprise Applications
By
–
The most important thing is that it is designed for a wide range of use cases such as E-Commerce
Social Media
Travel
Business
Retail For more information, make sure you visit the below website to learn more about bright data solutions -
ChatGPT Outperforms Doctors Answering Patient Questions
By
–
It's early in the era of generative #AI, but we already have evidence of superiority of #ChatGPT vs doctors for responding to patient questions. What are the implications? https://
erictopol.substack.com/p/when-patient
-questions-are-answered
… -
Automate Data Science Workflows with GPT-4 Python
By
–
Automate the Boring Stuff with GPT-4 and Python 3 Ways to Automate Data Science Workflows with GPT-4 and Python https://
bit.ly/3AwIPOo -
Nvidia Advances Software with Dual-LLM Hallucination Reduction Method
By
–
Nvidia is getting more into the software game. The business script logic to avoid topics doesn’t seem revolutionary, but the GAN-like approach with two LLMs finding agreement points is an interesting method to reduce hallucinations.
-
AI Systems Answering Patient Questions in Healthcare
By
–
https://
erictopol.substack.com/p/when-patient
-questions-are-answered
… -
Humor Understanding as Intelligence Test for AGI
By
–
Ability to understand and generate humor is actually a great test of intelligence. Hilarious AGI
-
AI-Powered Dispute Resolution System for Automattic
By
–
This should be a pretty good indie project: Automattic dispute resolution
Provide documentation, proof of use, etc
Additionally ensure best practices so disputes happen less frequently A well trained model could do the fine tuning of everything -
Canada invests $324M in ML research at UofT and UMontreal
By
–
This is a massive Canadian investment into a number of promising ventures. Most excited by $200M to @UofT
's @acceleration_c for ML for scientific discovery, and $124M to @UMontreal
's @IVADO_Qc for robust, reasoning, and responsible ML. Looking forward to seeing what they produce!