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Content Recommendations- 10/09/24 [Updates]
Content to help you keep up with Machine Learning, Deep Learning, Data Science, Software Engineering, Finance, Business, and more
 • 
Devansh
How Amazon is Rethinking human evaluation for generative large language models [Breakdowns]
Reducing Bias and Improving Consistency in LLM Human Evaluations
 • 
Devansh
How I taught myself to get cutting edge in AI
How to teach yourself AI- for technical folk
 • 
Devansh
5
No, LLMs Still Cannot Reason - Part II
The follow-up you didn't know you needed—and neither did I...
Published on Mostly Harmless Ideas • 

September 2024

A New Way to Control Language Model Generations [Breakdowns]
Fixing Toxic LLM Generations with Diffusion-guided Language Modeling
 • 
Devansh
Why you should read: Jean Baudrillard [Recs]
Technology, Symbols, and How Reality Loses Its Meaning
 • 
Devansh
23
A follow up on o1's Medical Capabilities + major concern about it's utility in Medical Diagnosis
A conversation about marketing, evals, and AI.
 • 
Devansh
8
Fact-checking the new o1 'Strawberry' for healthcare[Guest]
4o is confidently misdiagnosing, while o1 is not only confidently misdiagnosing but also cleverly rationalizing the error.
 • 
Devansh
 and 
Sergei Polevikov
5
Why Companies Invest in Open-Source Tech and Research[Markets]
Understanding the Business of Open Source Software and AI
 • 
Devansh
Interesting Content in AI, Software, Business, and Tech- 09/11/2024 [Updates]
Content to help you keep up with Machine Learning, Deep Learning, Data Science, Software Engineering, Finance, Business, and more
 • 
Devansh
Understanding Microsoft's “Aurora: A Foundation Model of the Atmosphere” [Breakdowns]
How Microsoft AI built a Foundation Model for Climate Forecasting
 • 
Devansh
11
The Current State of AI Markets [Guest]
A Quantitative Look at where Value has accrued in the AI Value Chain
 • 
Devansh
 and 
Eric Flaningam
5
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