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Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 1]
Author(s): Youssef Hosni Originally published on Towards AI. Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into …
How To Make a Career in GenAI In 2024
Author(s): Sudhanshu Sharma Originally published on Towards AI. GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data …
In-depth Understanding of DBSCAN Clustering Machine Learning Algorithm with Python
Author(s): Amit Chauhan Originally published on Towards AI. Segmentation algorithm based on machine learning approachThe output clusters of DBSCAN. An image by the Author In this article, the DBSCAN algorithm creates clusters in more easier way than K-Means or Hierarchical clustering algorithms. …
Top Important LLM Papers for the Week from 18/12 to 24/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model …
Confused by Artificial Intelligence?
Author(s): Renu Gehring Originally published on Towards AI. Artificial Intelligence, Machine Learning, Deep Learning, and more explained This post explains (1) models, (2) machine learning models, and (3) artificial intelligence as a broad field, of which Machine Learning and Deep Learning are …
Top Important Computer Vision Papers for the Week from 18/12 to 24/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Neural Networks With Pound Cakes and a Little Math
Author(s): Renu Gehring Originally published on Towards AI. Gentle introduction to neural networksPhoto by charlesdeluvio on Unsplash My family loves pound cakes, and I enjoy baking them, especially this time of the year. Did you know that the pound cake is aptly …
Why Your Approach to AI Job Applications is Flawed
Author(s): Boris Meinardus Originally published on Towards AI. How to apply to AI jobs the uncommon way. So, I got a DeepMind internship interview but I didn’t apply the standard way. I spent months applying to different listings and getting rejected over …
4 High-Impact Time Series Forecasting Project Ideas
Author(s): Donato Riccio Originally published on Towards AI. And no, we’re not talking about predicting the stock market Top highlight Image by the author. (AI-assisted) The stock market captivates countless data science enthusiasts. Its daily ups and downs seem to offer endless …
Reinforcement Learning: Multi-Agent Cooperation with MADQN— Part 5
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Multi-agent reinforcement learning with 3 MADQN frameworks on the ma-gym’s “Switch4” environmentImage by Nik Korba on Unsplash With the introduction of Function Approximation methods in Part 4, we are ready to solve Reinforcement …
Dynamic Maps and Plots With GPT-4 and Plotly Dash: A Story about UN Population Projections
Author(s): John Loewen, PhD Originally published on Towards AI. Time series choropleth map and violin plots with Python plotlyPlotly dashboard with a time-series choropleth map and violin plot As a computer science professor, over the last 6 months, I have relentlessly put …
Microsoft PHI-2 + Huggine Face + Langchain = Super Tiny Chatbot
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. Today, Microsoft Research released the latest version of the small language model (SLM) Phi-2, which has only 2.7 billion sets of parameters. So, In this Post, we will learn what Microsoft Phi-2 is, …
Comparing Dense Attention vs Sparse Sliding Window Attention
Author(s): Building Blocks Originally published on Towards AI. Introduction A little over a month ago in part 1 of this series we identified the prevalence of sink tokens. These are a small subset of tokens that accumulate a large portion of the …
Antigranular: How to Access Sensitive Datasets Without Looking At Them
Author(s): Bex T. Originally published on Towards AI. and developing privacy-first data projectsImage by me with Leonardo AI Today, open-source data represents the tip of the world’s data iceberg. Most of the world’s data is below the ocean surface because of privacy …
Computational Linguistics: Detecting AI-Generated Text
Author(s): Matteo Consoli Originally published on Towards AI. AI content indicators: ASL, readability, simplicity, and burstiness. Introduction Every time I read something on Medium or LinkedIn, I can’t stop thinking whether it’s written by a human or it’s a text generated by …
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