How is the new AI engineer trained?
In the current technological landscape, many companies still perceive modern AI Engineering merely as an extension of Machine Learning or Data Engineering. As a result, their
The AI Revolution is not without challenges
AI, and particularly the development and application of LLMs, is undergoing an unprecedented period of boiling innovation. This rapid evolution also comes with significant challenges, including:
The New Way of Programming with AI: Software 3.0
Just over 5 years ago, Andrej Karpathy coined the term “Software 2.0” to refer to the new way of programming that arises with Machine Learning: instead
“Keys to Artificial Intelligence”: the book you must read to
“Venture capital markets have gone completely wild”, tweeted at the end of August Sarah Guo, one of Silicon Valley’s leading investors (formerly General Partner at Greylock,
$900,000 a Year: The New AI Engineers.
New technological challenges give rise to new professions. Every time a new group of professionals emerges with a completely different background, speaking a different language, producing
Technical Tools for an AI Team
To develop Artificial Intelligence (AI) and Machine Learning (ML) solutions, it’s essential to have a variety of technical tools that facilitate research, design, implementation, and deployment
