Category: chatgpt
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How to Scale Your LLM Usage
How to Scale Your LLM Usage Learn how to increase LLM usage to achieve increased productivity The post How to Scale Your LLM Usage appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Build Agents with GPT-5
How to Build Agents with GPT-5 Learn how to use GPT-5 as a powerful AI Agent on your data. The post How to Build Agents with GPT-5 appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Use GPT-5 Effectively
How to Use GPT-5 Effectively Learn about GPT-5’s features and settings, and how to optimally apply them to your use case The post How to Use GPT-5 Effectively appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance
4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance Learn how to greatly improve the performance of your LLM application The post 4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Build a Powerful Deep Research System
How to Build a Powerful Deep Research System Learn how to access vasts amounts of information with your own deep research system The post How to Build a Powerful Deep Research System appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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5 Techniques to Prevent Hallucinations in Your RAG Question Answering
5 Techniques to Prevent Hallucinations in Your RAG Question Answering Learn how to reduce the number of hallucinations, and the impact they have The post 5 Techniques to Prevent Hallucinations in Your RAG Question Answering appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Select the 5 Most Relevant Documents for AI Search
How to Select the 5 Most Relevant Documents for AI Search Improve the document retrieval step of your RAG pipeline The post How to Select the 5 Most Relevant Documents for AI Search appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Context Engineer to Optimize Question Answering Pipelines
How to Context Engineer to Optimize Question Answering Pipelines Learn how to apply context engineering to enhance your question answering systems. The post How to Context Engineer to Optimize Question Answering Pipelines appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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A Brief History of GPT Through Papers
A Brief History of GPT Through Papers Language models are becoming really good. But where did they come from? The post A Brief History of GPT Through Papers appeared first on Towards Data Science. Rohit Pandey Go to original source
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How to Develop Powerful Internal LLM Benchmarks
How to Develop Powerful Internal LLM Benchmarks Learn how to compare LLMs using your own interal benchmark The post How to Develop Powerful Internal LLM Benchmarks appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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The Stanford Framework That Turns AI into Your PM Superpower
The Stanford Framework That Turns AI into Your PM Superpower A human-centric guide to AI automation for product managers. The post The Stanford Framework That Turns AI into Your PM Superpower appeared first on Towards Data Science. Rahul Vir Go to original source
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Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain
Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain Scaling a simple RAG pipeline from simple notes to full books The post Hitchhiker’s Guide to RAG: From Tiny Files to Tolstoy with OpenAI’s API and LangChain appeared first on Towards Data Science. Maria Mouschoutzi Go to original source
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Hitchhiker’s Guide to RAG with ChatGPT API and LangChain
Hitchhiker’s Guide to RAG with ChatGPT API and LangChain Build a simple Python RAG pipeline using your local files as context The post Hitchhiker’s Guide to RAG with ChatGPT API and LangChain appeared first on Towards Data Science. Maria Mouschoutzi Go to original source
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Reinforcement Learning from Human Feedback, Explained Simply
Reinforcement Learning from Human Feedback, Explained Simply The one technique that made ChatGPT so smart The post Reinforcement Learning from Human Feedback, Explained Simply appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use
Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use ChatGPT uses an average of 0.34 Wh per query, according to a blog post by Sam Altman. Does that figure hold up? The post Let’s Analyze OpenAI’s Claims About ChatGPT Energy Use appeared first on Towards Data Science. Kasper Groes Albin Ludvigsen Go to original source
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What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us
What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us The rapid proliferation and superb capabilities of widely available LLMs has ignited intense debate within the educational sector. On one side they offer students a 24/7 tutor who is always available to help; but then of course students can use LLMs to…
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What My GPT Stylist Taught Me About Prompting Better
What My GPT Stylist Taught Me About Prompting Better When I built a GPT-powered fashion assistant, I expected runway looks—not memory loss, hallucinations, or semantic déjà vu. But what unfolded became a lesson in how prompting really works—and why LLMs are more like wild animals than tools. This article builds on my previous article on…
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How Would I Learn to Code with ChatGPT if I Had to Start Again
How Would I Learn to Code with ChatGPT if I Had to Start Again Coding has been a part of my life since I was 10. From modifying HTML & CSS for my Friendster profile during the simple internet days to exploring SQL injections for the thrill, building a three-legged robot for fun, and lately…
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From Resume to Cover Letter Using AI and LLM, with Python and Streamlit
From Resume to Cover Letter Using AI and LLM, with Python and Streamlit DISCLAIMER: The idea of doing Cover Letter or even Resume with AI does not obviously start with me. A lot of people have done this before (very successfully) and have built websites and even companies from the idea. This is just a…
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DeepSeek V3: A New Contender in AI-Powered Data Science
DeepSeek V3: A New Contender in AI-Powered Data Science How DeepSeek’s budget-friendly AI model stacks up against ChatGPT, Claude, and Gemini in SQL, EDA, and machine learning Continue reading on Towards Data Science » Yu Dong Go to original source
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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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Understanding the Evolution of ChatGPT: Part 3— Insights from Codex and InstructGPT
Understanding the Evolution of ChatGPT: Part 3— Insights from Codex and InstructGPT Mastering the art of fine-tuning: Learnings for training your own LLMs. (Image from Unsplash) This is the third article in our GPT series, and also the most practical one: finally, we will talk about how to effectively fine-tune LLMs. It is practical in the…
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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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Translating a Memoir: A Technical Journey
Translating a Memoir: A Technical Journey Leveraging GPT-3.5 and unstructured APIs for translations This blog post details how I utilised GPT to translate the personal memoir of a family friend, making it accessible to a broader audience. Specifically, I employed GPT-3.5 for translation and Unstructured’s APIs for efficient content extraction and formatting. The memoir, a…
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Google Gemini Is Entering the Advent of Code Challenge
Google Gemini Is Entering the Advent of Code Challenge An open-source project to explore the capabilities and limitations of LLMs on coding challenges Image by author (created with Flux 1.1 Pro) What is this about? If 2024 taught us anything in the realm of Generative AI, then it is that coding is one of the most promising…