5. Machine Learning This course will teach you the basics of machine learning, techniques to mitigate overfitting, supervised and unsupervised modelling approaches, and recommendation systems.
EDUCATION
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Data Pre-Processing: Preparing Data for Machine Learning Models
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3. Data Pre-Processing: This will teach you to prepare data and convert it into a format that is easily digestible by machine learning models.
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Small Consistent Efforts Drive Significant Annual Progress
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The impact of making small consistent efforts throughout the year Credit: James Clear (Atomic habits)
#improvement #inspiration #management -
What Content Recently Sparked Your Eurekas?
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Curious what is the content (tutorial, book, videos,…) that sparked the most Eurekas for you recently and why?
→ View original post on X — @eurekalabsai, 2024-07-17 18:23 UTC
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Integrating AI TA with Course Material and Student Project UI/UX Design
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In parallel is the challenge (2), of integrating the AI TA with all of that material, and thinking through and designing what the UI/UX of that interaction looks like, of the student, building the projects, with the AI TA in the loop, guiding you along.
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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ngram repo endpoint: student learning path needs documentation
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The ngram repo holds the endpoint of that module – the place the student should get to. A lot is still missing, in particular a writeup of how to get there, a video, and additional materials that help condition the AI TA to get the student to the end goal.
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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Organizing AI Course with Self-Contained Project Modules
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I want to organize the course around project modules, each focused on introducing a few concepts. Each project is self-contained, possible to play with and mod, and you can feel accomplished having completed it. (Unfinished) example is the 1st repo ngram: github.com/EurekaLabsAI/ngra…
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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LLM101n Course Launch: Positive Response and Technical Development Ahead
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Thank you all for overwhelmingly positive response to the announcement (I have ~5000 form responses/emails/etc. to read 😅). But now the real work begins. The first goal is to make LLM101n really great. This is a technical challenge, of 1) building it, and 2) AI TA integration
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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New Short Course on Pretraining Large Language Models
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New short course on Pretraining LLMs! Developed with @UpstageAI and taught by their CEO @hunkims and CSO @echojuliett.
— Andrew Ng (@AndrewYNg) 17 juillet 2024
While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with… pic.twitter.com/388WZkjEwmNew short course on Pretraining LLMs! Developed with @UpstageAI and taught by their CEO @hunkims and CSO @echojuliett
. While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with -
AI Training Controversy, New Models and Job Opportunities Today
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Top stories in AI today: -Report: AI trained on YouTube without consent
-OpenAI founding member pivots to AI education
-Bring your images to life with Motion
-Mistral releases new open-source models
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/ais-youtube-
training-controversy
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