how transformers remember facts

#Transformers #NLP #LLM #MachineLearning #DeepLearning #AI #ArtificialIntelligence #TechInnovation #DataScience #NeuralNetworks

https://news.1rj.ru/str/DataScienceM

Discover an incredible LLM course designed to deepen your understanding of the transformer architecture and its role in building powerful Large Language Models (LLMs). This course breaks down complex concepts into easy-to-grasp modules, making it perfect for both beginners and advanced learners. Dive into the mechanics of attention mechanisms, encoding-decoding processes, and much more. Elevate your AI knowledge and stay ahead in the world of machine learning!

Enroll Free: https://www.deeplearning.ai/short-courses/how-transformer-llms-work/

#LLMCourse #Transformers #MachineLearning #AIeducation #DeepLearning #TechSkills #ArtificialIntelligence

https://news.1rj.ru/str/DataScienceM

Last week we introduced how transformer LLMs work, this week we go deeper into one of its key elements—the attention mechanism, in a new #OpenSourceAI course, Attention in Transformers: Concepts and #Code in #PyTorch

Enroll Free: https://www.deeplearning.ai/short-courses/attention-in-transformers-concepts-and-code-in-pytorch/

#LLMCourse #Transformers #MachineLearning #AIeducation #DeepLearning #TechSkills #ArtificialIntelligence

https://news.1rj.ru/str/DataScienceM

Best Deep Learning Courses:
https://mltut.com/best-deep-learning-courses-on-coursera/

#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras

https://news.1rj.ru/str/DataScienceM

Complete Roadmap to Become a Data Scientist

#python #datascientist

https://news.1rj.ru/str/DataScienceM

🍃 Stem-Leaf Plot - An intelligent visualization!

It's a simple and effective way to visualize and compare datasets.

📊 Imagine we have two datasets: Set 1 (7, 12, 14, 17, 19, 23, 25) and Set 2 (3, 11, 16, 18, 20, 21, 24). We'll use a stem-leaf plot to compare them.

🌿 First, let's create the 'stem' which represents the tens place (0, 1, 2) and the 'leaf' represents the ones place (0-9).

🔍 By comparing the plots, we can see that Dataset 1 has higher values in the tens place, while Dataset 2 has a more uniform distribution.

🎯 Stem-leaf plots are great for small datasets and provide a clear picture of data distribution. The special thing about a stem-and-leaf diagram is that the original data can be read out of the graphical representation.

Give it a try next time you need to compare datasets!

✍🏽 Have you used stem-leaf plots before?

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience

https://news.1rj.ru/str/CodeProgrammer ✈️

Create pivot tables in your Jupyter Notebook:

Here's the link to the #GitHub repo and documentation:

https://pivottable.js.org/examples/

#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras

https://news.1rj.ru/str/DataScienceM

20x faster KMeans with Faiss!!

#KMeans uses a slow, exhaustive search to find the nearest centroids.

#Faiss uses "Inverted Index"—an optimized data structure to store and index data points for approximate neighbor search.

#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras

https://news.1rj.ru/str/DataScienceM

The Hundred-Page Language Models Book

Read it:
https://github.com/aburkov/theLMbook

#LLM #NLP #ML #AI #PYTHON #PYTORCH

https://news.1rj.ru/str/DataScienceM

Learning Python, 6th Edition (2025)

Discount 70%:
https://news.1rj.ru/str/+r_Tcx2c-oVU1OWNi