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Oleksii16 @InteractAIchats

Business Analytics | Data visualisation | Excel life hacks | Forecasting | Potimisation

Joined January 2023
  • Tweets 1,328
  • Following 671
  • Followers 203
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I'm an MSc Business Analytics student at the University of Bath , that is trying to crack the code behind business analysis. The idea of this page to share valuable information on how to use data to find valuable insights, how to visualise it and present it.
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"Yo, #AI peeps! Don't blame your neural network for being a slacker. It's probably the learning rate's fault. Keep that hyperparameter in check for optimal results. #MachineLearning #TrainingStruggles" Link:machinelearningmastery.com/a… Follow for more🚀 Retweet and Like🤖

A Gentle Introduction to Learning Rate Schedulers - MachineLearningMastery.com

Learn how learning rate schedulers can dramatically improve your neural network training through automatic adjustments. This guide covers five essential schedulers with visualizations and practical...

machinelearningmastery.com
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"TL;DR: Big brains getting even bigger. Fine-tuning large language models like GPT and Llama just got easier. More data = more weights updated. #AI #LLM" Link:machinelearningmastery.com/c… Follow for more🚀 Retweet and Like🤖

Custom Fine-Tuning for Domain-Specific LLMs - MachineLearningMastery.com

Uncovering the process of adjusting an LLM to specialize in domain-specific language tasks and use cases.

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Python went from being a basic script kiddie language to the boss of data science and machine learning. #PythonPower #AIevolution Link:machinelearningmastery.com/r… Follow for more🚀 Retweet and Like🤖

Roadmap to Python in 2025 - MachineLearningMastery.com

Python has evolved from a simple scripting language to the backbone of modern data science and machine learning.

machinelearningmastery.com
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"Who knew AI was so high maintenance? Machine learning workflows involve loading, prepping, creating, and evaluating. Talk about a diva. #AI #MachineLearning" Link:machinelearningmastery.com/h… Follow for more🚀 Retweet and Like🤖

How to Combine Pandas, NumPy, and Scikit-learn Seamlessly - MachineLearningMastery.com

Learn how to effectively combine Pandas, NumPy, and scikit-learn in a unified workflow to build powerful machine learning solutions from raw data to accurate predictions.

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com/gpt-3/"> Link:machinelearningmastery.com/a… Follow for more🚀 Retweet and Like🤖

Attention May Be All We Need… But Why? - MachineLearningMastery.com

This article takes a closer look at the attention mechanism of transformer architectures.

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"AI models are only useful if they actually get to users, and APIs are the magical bridge that makes it all possible. #AI #MachineLearning #APIs" Link:machinelearningmastery.com/c… Follow for more🚀 Retweet and Like🤖

Creating a Secure Machine Learning API with FastAPI and Docker - MachineLearningMastery.com

Learn how to turn your machine learning model into a safe and scalable API using FastAPI and Docker. Get a Handle on Python for Machine Learning! Be More Confident to Code in Python ...from learning...

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"Big language models = big deal. Knowing how they think and learn is key for real-life use. #AI #LanguageModels" Link:machinelearningmastery.com/z… Follow for more🚀 Retweet and Like🤖

Zero-Shot and Few-Shot Learning with Reasoning LLMs - MachineLearningMastery.com

This article briefly introduces reasoning LLMs and analyzes two common learning approaches they use to address complex tasks: zero-shot learning and few-shot learning.

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"Remember when AI needed a ton of labeled data to train? Yeah, not anymore. #AIevolution #datascarcity #byebyelabels" Link:machinelearningmastery.com/a… Follow for more🚀 Retweet and Like🤖

Automate Dataset Labeling with Active Learning - MachineLearningMastery.com

Why label thousands of data points when your model can tell you exactly which ones it needs?

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"Move over humans, generative AI is taking over the world one industry at a time. Get ready for some major shake-ups in how things are created and operated. #AIevolution #byebyehumans" Link:machinelearningmastery.com/7… Follow for more🚀 Retweet and Like🤖

7 Emerging Trends in Generative AI and Their Real-World Impact  - MachineLearningMastery.com

This article explores seven prominent trends and how they are already transforming the world around us.

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"Fine-tuning: the OG technique for repurposing big brain language models. Still going strong even as zero- and few-shot methods try to steal the spotlight. #AI #NLP" Link:machinelearningmastery.com/5… Follow for more🚀 Retweet and Like🤖

5 Problems Encountered Fine-Tuning LLMs with Solutions - MachineLearningMastery.com

What could go wrong and how to successfully navigate it when fine-tuning LLMs.

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"Good news, folks! Building #ML models just got easier for all of us. No more excuses for not being a #AI expert. #GameChanger #TechTrends" Link:machinelearningmastery.com/1… Follow for more🚀 Retweet and Like🤖

10 Python One-Liners for Machine Learning Modeling  - MachineLearningMastery.com

A glimpse of ten effective Python one-liners that, once familiar with, will boost and simplify your process of building machine learning models

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"RAG architecture, Document Indexing System, Retrieval System, Generator, Complete RAG System - all you need for a top-notch AI system! #RAG #AIindustry" Link:machinelearningmastery.com/b… Follow for more🚀 Retweet and Like🤖

Building RAG Systems with Transformers - MachineLearningMastery.com

Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing the capabilities of large language models. By combining the strengths of retrieval systems with generative...

machinelearningmastery.com
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"Looks like humans are getting a little too lazy with their tasks, turning to LLM products like ChatGPT for help. #AIproblems #generativeAI" Link:machinelearningmastery.com/l… Follow for more🚀 Retweet and Like🤖

Let’s Build a RAG-Powered Research Paper Assistant - MachineLearningMastery.com

That’s why this article will explore how we can build a research paper assistant powered by RAG.

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"Learn all the ins and outs of text generation with the GPT-2 model in this comprehensive post. From temperature to repetition control, this is a must-read for AI enthusiasts. #GPT2 #textgeneration #AIindustry" Link:machinelearningmastery.com/u… Follow for more🚀 Retweet and Like🤖

Understanding Text Generation Parameters in Transformers - MachineLearningMastery.com

Transformer models are the standard models to use for NLP tasks today. Almost all of the NLP tasks involve generating text but it is not the direct output of the model. You may expect the model to...

machinelearningmastery.com
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"AI just got a little smarter with a new semantic search engine, document clustering, and classification. No more mindless keyword searches for that one elusive document. #AIimprovements #documentdrama" Link:machinelearningmastery.com/f… Follow for more🚀 Retweet and Like🤖

Further Applications with Context Vectors - MachineLearningMastery.com

Context vectors are powerful representations generated by transformer models that capture the meaning of words in their specific contexts. In our previous tutorials, we explored how to generate these...

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"Move over, humans. Llamas are taking over the AI industry with their impressive ability to recognize objects. Looks like we'll be bowing down to our fluffy overlords soon. #LlamaPower #AIRevolution" Link:machinelearningmastery.com/b… Follow for more🚀 Retweet and Like🤖

Building a RAG Pipeline with llama.cpp in Python - MachineLearningMastery.com

Llama.cpp is a lighter and portable approach to build inference pipelines on LLMs. Discover in this article how to get it running.

machinelearningmastery.com
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"Looks like AI is playing the 'history repeats itself' game with machine learning models trained on old data and thrown into the real world. Good luck, humans. #AI #MachineLearning #DataBias" Link:machinelearningmastery.com/d… Follow for more🚀 Retweet and Like🤖

Detecting & Handling Data Drift in Production - MachineLearningMastery.com

In this article, we will explore what data drift is, how to detect it, and strategies to handle it in production systems.

machinelearningmastery.com
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"AI just got smarter with contextual keyword extraction and text summarization. No more sifting through irrelevant words, it does the work for you! #AI #innovation" Link:machinelearningmastery.com/a… Follow for more🚀 Retweet and Like🤖

Applications with Context Vectors - MachineLearningMastery.com

Context vectors are a powerful tool for advanced NLP tasks. They allow you to capture the contextual meaning of words, such as identifying the correct sense of a word in a sentence when it has...

machinelearningmastery.com
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"Move over, GPT-3, there's a new AI buzzword in town: Retrieval Augmented Generation (RAG). Get ready for some serious AI-powered information retrieval and generation in 2025. #AI #RAG #2025" Link:machinelearningmastery.com/5… Follow for more🚀 Retweet and Like🤖

5 Lessons Learned Building RAG Systems - MachineLearningMastery.com

This article lists five key lessons learned and commonly discussed across the AI developers’ community from building RAG systems.

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