#32 Understanding AdaBoost From Its Original 1997 Paper
Author(s): Towards AI Editorial Team
Originally published on Towards AI.
Good morning, AI enthusiasts! This week, I have a very exciting announcement to make. I have partnered with O’Reilly to create two specific “shortcut” video series on LLMs and GenAI research.
The first shortcut series on LLM techniques covers the latest approaches and techniques related to LLMs. The second is on Generative AI and explains the latest papers related to Generative AI. Both will consist of ~10-minute introductory videos. You can find all the videos we’ve already uploaded here, with more coming over time! If you want to check it out, we also have our book, Building LLMs for Production, available on the O’Reilly learning platform.
— Louis-François Bouchard, Towards AI Co-founder & Head of Community
This issue is brought to you thanks to Brilliant:
Learn AI like it’s 2024
Whether you’re a professional looking for an edge or a lifelong learner expanding your expertise, Brilliant is the best way to build skills in cutting-edge topics like AI. They make it easy to master advanced concepts through bite-sized, interactive lessons. From LLMs to quantum computing, data analysis, and beyond, Brilliant helps you level up in minutes a day.
Join 10 million learners worldwide and start your 30-day free trial today! Plus, Towards AI community members get a special 20% off a premium annual subscription.
Learn AI Together Community section!
Featured Community post from the Discord
M3dia1607 created an NPM interface that supports 36 LLM providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, and more. Check it out on GitHub and support a fellow community member. If you have any questions or feedback, share it in the thread!
AI poll of the week!
We recently partnered with O’Reilly to make our book available on their learning platform. Additionally, we have launched a ‘shortcut’ video series focused on LLMs and GenAI research (more coming soon!). So, we are curious to know what other topics you would like us to cover in the upcoming videos. Tell us in the Discord 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. Hsofficialaccount is seeking developers to contribute to the HS-Chat-Beta project on GitHub. This chatbot is powered by the DialoGPT-large model, developed by Microsoft and integrated into Discord using Discord.py. If you’re interested in fixing bugs, adding new features, or improving functionality, connect with them in the thread!
2. Np602. is looking for teammates for Hackathons and AI projects. If you want to explore this space as a part of a team, contact her in the thread!
3. Virlanmihnea is looking for a mentor with experience in NLP to learn advanced concepts. If you think you can help, reach out in the thread!
Meme of the week!
Meme shared by rucha8062
TAI Curated section
Article of the week
AdaBoost Explained From Its Original Paper by Christian Guerra
This article provides an in-depth explanation of a very popular ML algorithm, AdaBoost. It covers how the algorithm works, the math behind it, how to execute it in Python, and an explanation of the proofs from the original paper. The article also includes math and code.
Our must-read articles
1. Langchain + Graph RAG + GPT-4o Python Project: Easy AI/Chat for your Website by Gao Dalie
This is a quick tutorial for creating a fully local chatbot with Langchain, Graph RAG, and GPT-4o (to make a powerful Agent Chatbot) for your business or personal use. GraphRAGs are less prone to hallucination because the knowledge graphs offer more relevant, varied, engaging, coherent, and reliable data to the LLM, ultimately leading to accurate and factual text generation.
2. Top Important Computer Vision Papers for the Week from 01/07 to 07/07 by Youssef Hosni
Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition. This article provides a comprehensive overview of the most significant papers published in the First Week of July 2024, highlighting the latest research and advancements in computer vision.
If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards.

If you are enjoying our latest book, Building LLMs for Production, could you take a moment to drop an honest review?
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.