Category: artificial-intelligence
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AI DAO ai16z Becomes ElizaOS Amid Branding Confusion Concerns
AI DAO ai16z Becomes ElizaOS Amid Branding Confusion Concerns By rebranding to ElizaOS, the DAO is attempting to strengthen its connection to the Eliza agent framework while distancing itself from a16z. Jason Nelson Go to decrypt.co
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Here’s How US AI Giants Are Responding to DeepSeek’s Disruption
Here’s How US AI Giants Are Responding to DeepSeek’s Disruption While DeepSeek’s efficient AI model sent American tech stocks tumbling, experts say the real disruption isn’t what Wall Street thinks it is. Jose Antonio Lanz Go to decrypt.co
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How GenAI Tools Have Changed My Work as a Data Scientist
How GenAI Tools Have Changed My Work as a Data Scientist An overview of the 4 use cases and 6 GenAI tools I use Continue reading on Towards Data Science » Jonte Dancker Go to original source
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DeepSeek Strikes Again: Does Its New Open-Source AI Model Beat DALL-E 3?
DeepSeek Strikes Again: Does Its New Open-Source AI Model Beat DALL-E 3? The Chinese startup that has stunned Silicon Valley with its language models now boasts superior image generation and understanding. Jose Antonio Lanz Go to decrypt.co
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Beyond Causal Language Modeling
Beyond Causal Language Modeling A deep dive into “Not All Tokens Are What You Need for Pretraining” Introduction A few days ago, I had the chance to present at a local reading group that focused on some of the most exciting and insightful papers from NeurIPS 2024. As a presenter, I selected a paper titled…
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How to Implement Guardrails for Your AI Agents with CrewAI
How to Implement Guardrails for Your AI Agents with CrewAI LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application. Continue reading on Towards Data Science » Alessandro Romano Go to original source
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Chinese Open-Source AI DeepSeek R1 Matches OpenAI’s o1 at 98% Lower Cost
Chinese Open-Source AI DeepSeek R1 Matches OpenAI’s o1 at 98% Lower Cost DeepSeek’s new R1 model matches or beats OpenAI’s performance while being free and open-source—and it got there in a fascinating way. Jose Antonio Lanz Go to decrypt.co
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Did OpenAI Cheat on Its Big Math Test?
Did OpenAI Cheat on Its Big Math Test? A benchmarking controversy exposes industry-wide problems when it turns out OpenAI helped design the test that its vaunted o3 model aced. Jose Antonio Lanz Go to decrypt.co
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Avoid These Easily Missed Mistakes in Machine Learning Workflows — Part 2
Avoid These Easily Missed Mistakes in Machine Learning Workflows — Part 2 Using Unavailable Data at Prediction Time and Mixing Magic Numbers with Real Numbers Continue reading on Towards Data Science » Thomas A Dorfer Go to original source
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A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize)
A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize) Investigating Geoffrey Hinton’s Nobel Prize-winning work and building it from scratch using PyTorch One recipient of the 2024 Nobel Prize in Physics was Geoffrey Hinton for his contributions in the field of AI and machine learning. A lot of people know he worked on neural…
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Is TikTok’s Parent Company Buying $12B Worth of AI Chips?
Is TikTok’s Parent Company Buying $12B Worth of AI Chips? ByteDance reportedly plans to double down on domestic AI chips following U.S restrictions. The Chinese tech giant, however, says that’s false. Jose Antonio Lanz Go to decrypt.co
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How to Evaluate LLM Summarization
How to Evaluate LLM Summarization A practical and effective guide for evaluating AI summaries Image from Unsplash Summarization is one of the most practical and convenient tasks enabled by LLMs. However, compared to other LLM tasks like question-asking or classification, evaluating LLMs on summarization is far more challenging. And so I myself have neglected evals for…
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Trump Announces $500 Billion AI Investment Initiative to Spur Growth
Trump Announces $500 Billion AI Investment Initiative to Spur Growth Stargate, backed by Oracle, OpenAI, and SoftBank, will focus on AI infrastructure, starting with data centers in Texas. Jason Nelson Go to decrypt.co
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LyRec: A Song Recommender That Reads Between the Lyrics
LyRec: A Song Recommender That Reads Between the Lyrics This is how I built an emotionally intelligent LLM-powered song recommendation system. Photo by David Pupăză on Unsplash Do you remember the last time you found yourself obsessing over a song? Maybe it was the raw emotion that resonated with you, or perhaps it was the lyrics…
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Metropolis Aims To Make It Cheap And Easy To Build Small Blockchains For AI Agents to Flourish
Metropolis Aims To Make It Cheap And Easy To Build Small Blockchains For AI Agents to Flourish AI agents and blockchain converge in the Metropolis protocol, which enables autonomous, decentralized ecosystems. Jason Nelson Go to decrypt.co
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Where to Start When Data is Limited
Where to Start When Data is Limited A launch pad for projects with small datasets Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-depicts-how-ai-can-help-humans-to-understand-the-complexity-of-biology-it-was-created-by-artist-khyati-trehan-as-part-17484975/ Machine Learning (ML) has driven remarkable breakthroughs in computer vision, natural language processing, and speech recognition, largely due to the abundance of data in these fields. However, many challenges — especially those tied to specific product features or…
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Learning from Machine Learning | Sebastian Raschka: Mastering ML and Pushing AI Forward Responsibly
Learning from Machine Learning | Sebastian Raschka: Mastering ML and Pushing AI Forward Responsibly Sebastian Raschka has helped demystify deep learning for thousands through his books, tutorials and teachings Sebastian Raschka has helped shape how thousands of data scientists and machine learning engineers learn their craft. As a passionate coder and proponent of open-source software,…
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A Practical Exploration of Sora — Intuitively and Exhaustively Explained
A Practical Exploration of Sora — Intuitively and Exhaustively Explained A new cutting edge video generation tool, and the theory behind it Continue reading on Towards Data Science » Daniel Warfield Go to original source
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Maserati Combines AI and Speed in the MC20 Supercar
Maserati Combines AI and Speed in the MC20 Supercar The Maserati MC20 Coupé, showcased at CES, combines self-driving AI and high-speed supercar thrills Jason Nelson Go to decrypt.co
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I Joined China’s TikTok Alternative RedNote And Lived To Regret It
I Joined China’s TikTok Alternative RedNote And Lived To Regret It After diving into RedNote to escape TikTok’s ban, I uncovered a network of scammers targeting confused Americans with stolen IDs. Jose Antonio Lanz Go to decrypt.co
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A 12-step visual guide to understanding NeRF (Representing Scenes as Neural Radiance Fields)
A 12-step visual guide to understanding NeRF (Representing Scenes as Neural Radiance Fields) NeRF overview — Image by Author A Beginner’s 12-Step Visual Guide to Understanding NeRF: Neural Radiance Fields for Scene Representation and View Synthesis A basic understanding of NeRF’s workings through visual representations Who should read this article? This article aims to provide a basic beginner level…
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DreamSmart’s Web3 Smart Glasses Want to Pay You for Using AI
DreamSmart’s Web3 Smart Glasses Want to Pay You for Using AI New AI glasses this year promise to reward users with crypto while processing data locally as competition in the sector intensifies. Jose Antonio Lanz Go to decrypt.co
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Static and Dynamic Attention: Implications for Graph Neural Networks
Static and Dynamic Attention: Implications for Graph Neural Networks Examining the expressive capacity of Graph Attention Networks Image by the author In graph representation learning, neighborhood aggregation is one of the most well-studied and investigated areas, among which attention-based methods largely remain state-of-the-art. Leveraging learnable attention scores for weighted aggregations, graph attention networks exhibit higher expressivity…
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US Tightens AI Chip Exports Restrictions Ahead of Trump’s Inauguration
US Tightens AI Chip Exports Restrictions Ahead of Trump’s Inauguration The U.S. is tightening AI chip exports, restricting GPUs to select countries while exempting allies to curb adversaries and retain dominance. Vismaya V Go to decrypt.co
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The AI (R)Evolution, Looking From 2024 Into the Immediate Future
The AI (R)Evolution, Looking From 2024 Into the Immediate Future Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development Continue reading on Towards Data Science » LucianoSphere (Luciano Abriata, PhD) Go to original source
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Building Visual Agents that can Navigate the Web Autonomously
Building Visual Agents that can Navigate the Web Autonomously A step-by-step guide to creating visual agents that can navigate the web autonomously Continue reading on Towards Data Science » Luís Roque Go to original source
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Zuckerberg Knowingly Used Pirated Data to Train Meta AI, Authors Allege
Zuckerberg Knowingly Used Pirated Data to Train Meta AI, Authors Allege A recent court filing in an ongoing lawsuit against Meta alleges Mark Zuckerberg and other executives approved the controversial dataset despite internal warnings. Jose Antonio Lanz Go to decrypt.co
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Solving A Rubik’s Cube with Supervised Learning — Intuitively and Exhaustively Explained
Solving A Rubik’s Cube with Supervised Learning — Intuitively and Exhaustively Explained A Popular Toy in a Brave New World Continue reading on Towards Data Science » Daniel Warfield Go to original source
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Sentiment Analysis with Transformers: A Complete Deep Learning Project — PT. I
Sentiment Analysis with Transformers: A Complete Deep Learning Project — PT. I Master Fine-Tuning Transformers, Comparing Deep Learning Architectures, and Deploying Sentiment Analysis Models Continue reading on Towards Data Science » Leo Anello Go to original source
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Machines, Not Humans to Drive Crypto’s Mass Adoption?
Machines, Not Humans to Drive Crypto’s Mass Adoption? AI agents are set to outnumber humans on blockchain networks, signaling a transformative shift in crypto’s future, according to some. Vince Dioquino Go to decrypt.co
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The Most Eye-Catching and Absurd AI Products Unveiled at CES 2025 So Far
The Most Eye-Catching and Absurd AI Products Unveiled at CES 2025 So Far AI powers CES 2025’s quirkiest gadgets, including robot vacuums, smart TVs, and even a smart mirror that tracks health metrics. Jason Nelson Go to decrypt.co
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What Does OpenAI’s Sam Altman Mean When He Says AGI is Achievable?
What Does OpenAI’s Sam Altman Mean When He Says AGI is Achievable? OpenAI’s CEO made bold claims about artificial general intelligence and the adoption of AI agents in 2025, but experts aren’t quite convinced. Jose Antonio Lanz Go to decrypt.co
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Hong Kong Deepfake Scam Group Caught Pretending to Be Rich Single Women
Hong Kong Deepfake Scam Group Caught Pretending to Be Rich Single Women Notebooks seized by local law enforcement revealed elaborate methods to dupe users out of their money, which included deepfakes. Adrian Zmudzinski Go to decrypt.co
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The Next Generation Will Never Know a World Without AI
The Next Generation Will Never Know a World Without AI Unlike previous generations, Gen Beta will grow up in a world where generative AI is ubiquitous and edging closer to singularity. Jason Nelson Go to decrypt.co
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OpenAI’s Altman, Ethereum’s Buterin Outline Competing Visions for AI’s Future
OpenAI’s Altman, Ethereum’s Buterin Outline Competing Visions for AI’s Future Sam Altman has emphasized OpenAI’s readiness to build out AGI this year as Vitalik Buterin cautions a need for robust safety mechanisms. Vince Dioquino Go to decrypt.co
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Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models
Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models Full explanation on Linear Regression and how it learns The Crane Stance. Public Domain image from Openverse Just like Mr. Miyagi taught young Daniel LaRusso karate through repetitive simple chores, which ultimately transformed him into the Karate Kid, mastering foundational algorithms like linear regression…
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The Next Frontier in LLM Accuracy
The Next Frontier in LLM Accuracy Exploring the Power of Lamini Memory Tuning Image generated by DALL-E 3 Accuracy is often critical for LLM applications, especially in cases such as API calling or summarisation of financial reports. Fortunately, there are ways to enhance precision. The best practices to improve accuracy include the following steps: You can start…
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How to Claim Your $20 From Apple’s $95 Million Siri Privacy Settlement
How to Claim Your $20 From Apple’s $95 Million Siri Privacy Settlement You might be eligible to get $20 per Apple device—up to $100 per household—because Siri allegedly listened more than she should have. Jose Antonio Lanz Go to decrypt.co
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What I’m Updating in My AI Ethics Class for 2025
What I’m Updating in My AI Ethics Class for 2025 What happened in 2024 that is new and significant in the world of AI ethics? The new technology developments have come in fast, but what has ethical or values implications that are going to matter long-term? I’ve been working on updates for my 2025 class…
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AI-Powered Information Extraction and Matchmaking
AI-Powered Information Extraction and Matchmaking Developing an application for extracting key profile information from CVs and recommending jobs aligned with the profile Continue reading on Towards Data Science » Umair Ali Khan Go to original source
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Transforming Data into Solutions: Building a Smart App with Python and AI
Transforming Data into Solutions: Building a Smart App with Python and AI Some financial analysts worry that artificial intelligence may not justify the massive investments being made in the field. While I understand their concerns, I see things differently. I’m neither an AI Boomer nor an AI Doomer — I believe AI has the potential to drive…
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The Best Generative AI Models—From Chatbots to Image and Video Generators
The Best Generative AI Models—From Chatbots to Image and Video Generators From language models to image generators, discover the top tools transforming AI in 2024—and the biggest letdowns along the way. Jose Antonio Lanz Go to decrypt.co
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Understanding the Mathematics of PPO in Reinforcement Learning
Understanding the Mathematics of PPO in Reinforcement Learning Deep dive into RL with PPO for beginners Photo by ThisisEngineering on Unsplash Introduction Reinforcement Learning (RL) is a branch of Artificial Intelligence that enables agents to learn how to interact with their environment. These agents, which range from robots to software features or autonomous systems, learn through…
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OpenAI’s o3 Hits Human-Level Scores, But Is It Good Enough to Be AGI?
OpenAI’s o3 Hits Human-Level Scores, But Is It Good Enough to Be AGI? OpenAI’s new o3 AI model achieved an unprecedented score on the “think like a human” benchmark, sparking a fierce debate over AGI or artificial general intelligence. Jose Antonio Lanz Go to decrypt.co
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Nvidia Upgrades Low-Cost Jetson AI Computer—More Power for Half the Price
Nvidia Upgrades Low-Cost Jetson AI Computer—More Power for Half the Price The $249 Jetson Orin Nano Super packs nearly twice the AI processing power into a palm-sized device, making it more accessible for hobbyists. Jose Antonio Lanz Go to decrypt.co
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How (and Where) ML Beginners Can Find Papers
How (and Where) ML Beginners Can Find Papers From conferences to surveys Continue reading on Towards Data Science » Pascal Janetzky Go to original source
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AI Won’t Tell You How to Build a Bomb—Unless You Say It’s a ‘b0mB’
AI Won’t Tell You How to Build a Bomb—Unless You Say It’s a ‘b0mB’ Anthropic’s Best-of-N jailbreak technique proves how introducing random characters in a prompt is often enough to successfully bypass AI restrictions. Jose Antonio Lanz Go to decrypt.co
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The 80/20 problem of generative AI — a UX research insight
The 80/20 problem of generative AI — a UX research insight Image by author The 80/20 problem of generative AI — a UX research insight When an LLM solves a task 80% correctly, that often only amounts to 20% of the user value. The Pareto principle says if you solve a problem 20% through, you get 80% of the value. The opposite…
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Meta’s AI Video Editor Coming to Instagram to Make You Question What’s Real
Meta’s AI Video Editor Coming to Instagram to Make You Question What’s Real Instagram chief Adam Mosseri showed off new AI features that’ll let users edit videos by simply using text to change video imagery. Jose Antonio Lanz Go to decrypt.co
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From Prototype to Production: Enhancing LLM Accuracy
From Prototype to Production: Enhancing LLM Accuracy Implementing evaluation frameworks to optimize accuracy in real-world applications Image created by DALL-E 3 Building a prototype for an LLM application is surprisingly straightforward. You can often create a functional first version within just a few hours. This initial prototype will likely provide results that look legitimate and be…
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The Algorithm That Made Google Google
The Algorithm That Made Google Google How PageRank transformed how we searched the internet, and why it’s still playing an important role in LLMs with Graph RAG. Continue reading on Towards Data Science » Cristian Leo Go to original source
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100 Years of (eXplainable) AI
100 Years of (eXplainable) AI Reflecting on advances and challenges in deep learning and explainability in the ever-evolving era of LLMs and AI governance Image by author Background Imagine you are navigating a self-driving car, relying entirely on its onboard computer to make split-second decisions. It detects objects, identifies pedestrians, and even can anticipate behavior of…
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Will Your Christmas Be White? Ask An AI Weather Model!
Will Your Christmas Be White? Ask An AI Weather Model! Learn how to visualize AI weather and create your own forecast for the holidays Continue reading on Towards Data Science » Caroline Arnold Go to original source
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2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025
2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025 What I got right (and wrong) about trends in 2024 and daring to make bolder predictions for the year ahead AI Buzzword and Trend Bingo (Image by the author) In 2023, building AI-powered applications felt full of promise, but the challenges…
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Four Career-Savers Data Scientists Should Incorporate into Their Work
Four Career-Savers Data Scientists Should Incorporate into Their Work You might damage your data science career progress without even realising it — but avoiding that fate isn’t too difficult Continue reading on Towards Data Science » Egor Howell Go to original source
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A Case for Bagging and Boosting as Data Scientists’ Best Friends
A Case for Bagging and Boosting as Data Scientists’ Best Friends Leveraging wisdom of the crowd in ML models. Continue reading on Towards Data Science » Farzad Nobar Go to original source
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The Good, the Bad, An Ugly Memory for a Neural Network
The Good, the Bad, An Ugly Memory for a Neural Network Memory can play tricks, to learn best it is not always good to memorize Continue reading on Towards Data Science » Salvatore Raieli Go to original source
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Structured LLM Output Using Ollama
Structured LLM Output Using Ollama Control your model responses effectively Continue reading on Towards Data Science » Thomas Reid Go to original source
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How Have Data Science Interviews Changed Over 4 Years?
How Have Data Science Interviews Changed Over 4 Years? An aggregated look on the differences between then & now: 2020 vs 2024 — some big frustrations and positive learnings. Continue reading on Towards Data Science » Matt Przybyla Go to original source
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Master Machine Learning: 4 Classification Models Made Simple
Master Machine Learning: 4 Classification Models Made Simple A Beginner’s Guide to Building Models in 15 Practical Steps Continue reading on Towards Data Science » Leo Anello Go to original source
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Agentic AI: Building Autonomous Systems from Scratch
Agentic AI: Building Autonomous Systems from Scratch A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI Continue reading on Towards Data Science » Luís Roque Go to original source
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Efficient Large Dimensional Self-Organising Maps with PyTorch
Efficient Large Dimensional Self-Organising Maps with PyTorch Because it’s fun to self-organise Continue reading on Towards Data Science » Mathieu d’Aquin Go to original source
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Google Launches Gemini 2.0 and Anthropic Rolls Out Claude 3.5 Haiku Amid OpenAI’s Year-End Blitz
Google Launches Gemini 2.0 and Anthropic Rolls Out Claude 3.5 Haiku Amid OpenAI’s Year-End Blitz Google’s new AI model generates images, audio, navigates browsers, and handles complex tasks but is overshadowed by OpenAI’s product surge. Jose Antonio Lanz Go to decrypt.co
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Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models
Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models In this article we will explore why 128K tokens and more models can’t fully replace using RAG. Continue reading on Towards Data Science » Jérôme DIAZ Go to original source
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Transformers Key-Value (KV) Caching Explained
Transformers Key-Value (KV) Caching Explained Speed up your LLM inference Continue reading on Towards Data Science » Michał Oleszak Go to original source
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Sentiment analysis template: A complete data science project
Sentiment analysis template: A complete data science project 10 essential steps, from data exploration to model deployment. Continue reading on Towards Data Science » Leo Anello Go to original source
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Why “AI Can’t Reason” Is a Bias
Why “AI Can’t Reason” Is a Bias We humans are proud creatures Continue reading on Towards Data Science » Rafe Brena, Ph.D. Go to original source
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ChatGPT Goes Dark Following Apple Intelligence Integration
ChatGPT Goes Dark Following Apple Intelligence Integration “We’re experiencing an outage right now. We have identified the issue and are working to roll out a fix,” OpenAI said on X on Wednesday. Jason Nelson Go to decrypt.co
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Chinese Police Roll Out Nightmarish Crime-Fighting Robot
Chinese Police Roll Out Nightmarish Crime-Fighting Robot The RT-G robot by Shenzhen-based Logon Technology blends sci-fi aesthetics with lethal real-world applications. Jason Nelson Go to decrypt.co
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Nobel Prizes 2024: AI Breakthroughs Win Big
Nobel Prizes 2024: AI Breakthroughs Win Big Lessons Learned After the AI Nobel Debate Continue reading on Towards Data Science » Andrea Valenzuela Go to original source
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Meet AI16z DAO: An AI-Based Investment Project That Aims to Upend Silicon Valley
Meet AI16z DAO: An AI-Based Investment Project That Aims to Upend Silicon Valley AI16z DAO claims to be changing how crypto communities invest, govern, and operate, leveraging AI for data-driven financial decisions. Jose Antonio Lanz Go to decrypt.co
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Google’s New Willow Chip Accelerates Time to Market for Quantum Computing, Experts Say
Google’s New Willow Chip Accelerates Time to Market for Quantum Computing, Experts Say Google claims its new quantum chip introduces groundbreaking error correction, advancing reliability and practicality. Jason Nelson Go to decrypt.co
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Why Data Scientists Need These Software Engineering Skills
Why Data Scientists Need These Software Engineering Skills Learn these things to become a more well-rounded data scientist Continue reading on Towards Data Science » Egor Howell Go to original source
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Scientists Go Serious About Large Language Models Mirroring Human Thinking
Scientists Go Serious About Large Language Models Mirroring Human Thinking A discussion of the latest research suggesting that LLMs do work like the human brain—with some substantial differences Continue reading on Towards Data Science » LucianoSphere (Luciano Abriata, PhD) Go to original source
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Combining Large and Small LLMs to Boost Inference Time and Quality
Combining Large and Small LLMs to Boost Inference Time and Quality Implementing Speculative and Contrastive Decoding Large Language models are comprised of billions of parameters (weights). For each word it generates, the model has to perform computationally expensive calculations across all of these parameters. Large Language models accept a sentence, or sequence of tokens, and…
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What Teaching AI Taught me About Data Skills & People
What Teaching AI Taught me About Data Skills & People Three key lessons from my journey as a corporate AI educator Photo by Mikhail Nilov. As an AI Educator, my job was to equip corporate teams with the data & AI skills they needed to thrive. But looking back, I realized that I learned far more from…
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The Name That Broke ChatGPT: Who is David Mayer?
The Name That Broke ChatGPT: Who is David Mayer? AI, privacy, human bias, prompting, the future of content, and how to hack a chatbot Continue reading on Towards Data Science » Cassie Kozyrkov Go to original source
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Context-Aided Forecasting: Enhancing Forecasting with Textual Data
Context-Aided Forecasting: Enhancing Forecasting with Textual Data A promising alternative approach to improve forecasting Continue reading on Towards Data Science » Nikos Kafritsas Go to original source
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Making News Recommendations Explainable with Large Language Models
Making News Recommendations Explainable with Large Language Models A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization. Deliver relevant content to readers at the right time. Image by author. At DER SPIEGEL, we are continually exploring ways to improve how we recommend news articles to our readers. In our latest (offline) experiment,…
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Optimizing Transformer Models for Variable-Length Input Sequences
Optimizing Transformer Models for Variable-Length Input Sequences How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs Photo by Tanja Zöllner on Unsplash As generative AI (genAI) models grow in both popularity and scale, so do the computational demands and costs associated with their training and deployment. Optimizing these models is crucial for enhancing…
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Mistral 7B Explained: Towards More Efficient Language Models
Mistral 7B Explained: Towards More Efficient Language Models RMS Norm, RoPE, GQA, SWA, KV Cache, and more! Part 5 in the “LLMs from Scratch” series — a complete guide to understanding and building Large Language Models. If you are interested in learning more about how these models work I encourage you to read: Part 1: Tokenization — A Complete Guide Part 2:…