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Learn AI Together — Towards AI Community Newsletter #12
Artificial Intelligence   Latest   Machine Learning

Learn AI Together — Towards AI Community Newsletter #12

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, fellow AI enthusiasts! This week’s podcast episode is extremely useful if you are a student or want to switch to the AI space. Avery has tremendous expertise in education and gives really good tips and advice about switching fields and getting into AI, specifically data analytics. I definitely recommend watching this one for all learners out here!

I was also curious to know your thoughts on the events world. I used this week’s poll to survey the community, asking if you have attended or are attending “industry events” such as GTC, World AI Summit, or others. I’ve never been to one focusing on research, but I wanted to give it a shot and go this year. I’ve always had some pre-conceived ideas that those places were for investors and hype-sharing non-technical people, but I was wondering if this was shared amongst us employees, workers, students, and if it was true at all. I would love to hear your thoughts on those kinds of events!

I hope you enjoy this week’s iteration of the newsletter and that you learn at least one new thing!

I wish you all a great weekend.

-Louis-François Bouchard, Towards AI Co-founder & Head of Community

What’s AI Weekly

In this week’s What’s AI Podcast episode, Louis-François Bouchard interviewed Avery Smith, an expert in data analytics known for empowering the next generation of data professionals through his Data Analytics Accelerator program Data Career Jumpstart. They dive into Avery’s secret formula for landing your first data job in 90 days and how to harness AI for learning and growth in the data analytics realm! Avery emphasizes the importance of practical experience, advocating for hands-on projects over traditional education methods. According to him, the key to standing out in the job market is to showcase your ability to solve real-world problems with data. This episode is for anyone interested in data analytics, AI, and jumping into this amazing field from another background (or for students and juniors in AI). Tune in to the episode on YouTube or listen on your favorite streaming platform!

Learn AI Together Community section!

Featured Community post from the Discord

Chazschmidt is inviting our community to the Beta! It is a content cartography platform. They are building a minimap of our world’s information space for users. Minimap can synthesize a map of the dataspace through the lens of high-level topics. Check it out here and support a fellow community member. Share your feedback in the thread!

Cartography is graphically representing a geographical area.

AI poll of the week!

There is a rising trend of events centered on ‘AI for businesses’ and ‘Future of AI,’ we are curious to know if you would like to attend these events. If yes, what would you like the focus to be? Share your thoughts with us in the thread!

Collaboration Opportunities

The Learn AI Together Discord community is flooding with collaboration opportunities. If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Keep an eye on this section, too — we share cool opportunities every week!

1. Ramcharan12345 is looking to collaborate with AI devs who can leverage spaCy for NLP, utilize scikit-learn for supervised learning on historical data for symptom mapping, and implement TensorFlow/Keras for neural network-based risk prediction. If this sounds like you, contact in the thread!

2. Roustaa is looking for a partner to work on an AI agency. This ai agency would be a way to help people get more leads and improve their customer service. Find more information in the thread!

3. Axer128 is looking for an HTML5/JavaScript/Python/C++ adept Programmer / DevOps. This is a learning/junior intern position; however, senior devs interested in just observing/advice are also welcome. If this is the right fit for you, reach out in the thread!

4. Abdulshaik95 is working on custom object detection to detect missing screws on a part. They are looking for collaborators on this project; if this is relevant to you, connect in the thread!

Meme of the week!

Meme shared by rucha8062

TAI Curated section

Article of the week

LangChain 101: Part 3a. Talking to Documents: Load, Split, and simple RAG with LCEL by Ivan Reznikov

LangChain is redefining how we interact with data by enabling users to chat with their documents, a potential game-changer in the use of Generative AI. This article covers Document Loaders, Splitting, and RAG pipeline prep, introducing loaders like JSON, CSV, pdf, and integrations with apps and cloud services for efficient document management.

Our must-read articles

1. Evaluating RAG Metrics Across Different Retrieval Methods by Harpreet Sahota

As we get exposed to the rapid development of advanced RAG methods, evaluating them to make an informed decision is crucial. In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics.

2. Bigram Language Modeling From Scratch by Abhishek Chaudhary

Language modeling is all about how computers understand and generate human language. It’s a key part of making AI systems that can communicate with us effectively. This article discusses a similar, much less powerful language model. The model will be a character-level model instead of a word/chunk-level model and will predict the next character given a previous character.

3. A Trustworthy Model for Loan Eligibility Assessment by Becaye Baldé

A model with high-performance metrics might convince a Data Scientist but is unlikely to earn the trust of domain experts if it can’t justify its decisions. This article discusses in detail how to build and deploy an interpretable machine-learning model to assess housing loan eligibility.

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