* AI in education, focusing on intelligent tutoring systems for personalized learning.

* Using language models like ChatGPT in building tutoring models and concerns about output quality.

* Collaboration and social interaction in learning, along with the benefits of project-based learning and working with tutors.

* AI applications in education, including creating synthetic students. They acknowledge challenges in visuals and scientifically accurate content.

* Machine learning in finance, discussing stock predictions, fixed income trading, and emphasizing interpretability and risk management in portfolio optimization.

With Ilya, Chief Product Officer at Constructor, and Bhaskar, Senior Data Scientist at BlackRock, we discussed AI in education, including intelligent tutoring systems and challenges in model reliability. We explored assessing student understanding, the role of teachers and algorithms, and touched on AI in finance, concluding with reflections on interpretability and opportunities in both fields.

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* Discussion on the evolving definitions and roles of machine learning engineers and data scientists.

* Challenges and considerations of pursuing a career in machine learning, including specialization and the need for practical experience.

* The potential of machine learning technology and its impact on businesses and industries.

* The revolutionary capabilities of AI, including its potential to act as a layer between humans and various tasks.

This is the 4th AiEdge Podcast! In this podcast, Benjamin and Landon discuss their backgrounds in machine learning, job roles, and the evolving field's challenges and opportunities. We touch on the overlap between data science and machine learning, the importance of practical experience, the limitations of language models, and the revolutionary potential of AI.

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* Discussion on the potential of AI in the IT industry, including insights into system health and automation processes.

* Emphasis on the importance of considering traditional machine learning algorithms alongside deep learning frameworks.

* Exploration of the advantages of using pre-trained language models and the potential shift towards their use instead of fine-tuning.

* Consideration of the challenges and considerations in deploying machine learning models, including data privacy and the need for specialized expertise.

This is the 3rd AiEdge Podcast! Ryan and Alejandro share their AI and machine learning experiences, covering topics like AI integration into their work, its applications in network infrastructure, deep learning frameworks, and managing large-scale models. They discuss privacy, on-premises vs. cloud deployment, and changing job roles, emphasizing the importance of staying adaptable in the ever-evolving tech landscape.

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This is the 2nd AiEdge Podcast! We talked with Bella about the difficulties of working as a Software Engineer on AI projects. I hope you enjoy it!

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Today, I am starting something new. I invited Etienne Bernard, CEO at Numind, and we talked about AI, NLP, and being an entrepreneur between the US and France. Here is the recording of that conversation:

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Etienne Bernard is an expert in AI & machine learning, author of Introduction to Machine Learning, and founder and CEO of NuMind - a startup developing a tool to create custom NLP models. Previously, Etienne was head of machine learning at Wolfram Research for 7 years, where he led the development of machine learning tools and applications. He holds a Ph.D. in statistical physics from ENS and did a postdoc at MIT.

Additionally, in the following weeks/months, I will organize multiple mentoring events with a few people (~5) who have questions about Machine Learning and their careers. I would like to record those events and turn them into podcasts. Are you interested in participating as a guest?

In the past, I have helped many people in their careers, and I wish I could have recorded those conversations because they would have helped many other people! That is what I would like to achieve with those podcasts! I expect those podcasts to be free-form such that we can have exciting conversations. If you prefer, your name can remain anonymous during the event.

The audio and video of those events will be recorded to be distributed as a podcast on multiple social media platforms such as YouTube.

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit newsletter.theaiedge.io/subscribe