Practical AI: Machine Learning, Data Science, LLM

Pausing to think about scikit-learn & OpenAI o1

Sep 17, 2024

50:12

Snipd AI

Explore the recent funding for scikit-learn and OpenAI's innovative o1 model, which features an intriguing pause for complex task processing. The hosts share insights on finding credible AI information across varied platforms and discuss how open-source technologies are reshaping data science. Dive into the O1 model's reasoning capabilities and its implications for user experience, alongside a look at the limitations of current AI models. Plus, discover the benefits of transparency in open-source initiatives and exciting educational opportunities around machine learning.

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Quick takeaways

The recent seed funding for scikit-learn highlights the importance of open-source initiatives promoting data ownership and collaboration in data science.

OpenAI's new o1 feature, which pauses to think, signifies a shift towards more complex and thoughtful AI task management compared to traditional models.

Deep dives

Advancements in Speech AI Models

Assembly AI focuses on creating leading speech AI models that enable developers to convert voice data into highly accurate text. Their models cover a range of tasks including speech-to-text, streaming capabilities, and speech understanding. Developers can extract vital information from voice data, such as identifying speakers, detecting personally identifiable information (PII), and generating summaries. Through a straightforward API, Assembly AI empowers developers to integrate these capabilities into various applications, fostering innovative products and automation around voice data.

Embrace Open Source for Reliable Success

01:41

Reflect on Advances: It's Not Thinking, Just Generating

01:43

Intro

5min

Navigating AI Insights: From Twitter to LinkedIn

12min

Bridging Data Science and AI

6min

Exploring the O1 Model Features

11min

Navigating AI Insights and User Experience

6min

Limitations and Values in AI: A Deep Dive

5min

Exploring Open Source Models and Educational Opportunities in Machine Learning

5min

Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”

Join the discussion

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Sponsors:

Assembly AI – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more.
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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Join the Practical AI community — it’s free! Connect with us in the #practicalai Slack channel. The community is here for you as a place to below, to bounce ideas around, or to get feedback on a conference to attend or talk you’d like to give.

Something missing or broken? PRs welcome!

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Practical AI: Machine Learning, Data Science, LLM

Pausing to think about scikit-learn & OpenAI o1