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Beyond Prompt-and-Pray

AI
LLMs
Agents
Building Reliable LLM-Powered Software in an Agentic World.
Jan 23, 2025

Why AI agents fail in production—and how to fix it

AI
LLMs
Agents
Newsletter
And LLM evaluation essentials.
Jan 21, 2025

Master LLM Application Development: Course & Free Resources

AI
LLMs
Agents
Newsletter
Free 30-min AI/ML Consultation with me - or grab the free resources below!
Jan 5, 2025

Building LLM Apps: Essential Resources for Data Scientists and Software Engineers

AI
LLMs
Agents
Newsletter
And a Conversation with Chief Data Scientist at The New York Times, Chris Wiggins.
Dec 31, 2024

Is Data Science Dead in the Age of AI?

AI
LLMs
Agents
Newsletter
🎓 Build Robust AI Systems—Scholarship Applications Now Open!
Dec 16, 2024

Building Reliable GenAI Systems: Lessons, Conversations, and Tools

AI
LLMs
Agents
Newsletter
Exploring the Foundations of Modern Data Science.
Dec 4, 2024

Escaping AI Proof-of-Concept Purgatory

AI
LLMs
Agents
Newsletter
And Building Robust, Reliable LLM-powered systems.
Nov 18, 2024

Michael Jordan: The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale🔭

AI
LLMs
Agents
Newsletter
I’m building a GenAI course and would love your input 🤗
Oct 29, 2024

Building Reliable AI: Prompt Engineering, Fine-Tuned Models, and Efficient Workflows

AI
LLMs
Agents
Newsletter
Reliable Agentic Bots with Llama 8B: Efficiency at Scale 🤖
Oct 8, 2024

AI at NASA, Scaling Platforms at Uber, and the Future of Open-Source AI 🔭

AI
LLMs
Agents
Newsletter
From Prompt Engineering to AI Ethics: What’s Next for Generative AI?
Sep 23, 2024

How To Build A Travel AI Assistant That Doesn’t Hallucinate 🤖

AI
LLMs
Agents
Newsletter
The Future of Open-Source AI and Research.
Sep 9, 2024

Where are you in the GenAI Hype Cycle?

AI
LLMs
Agents
Newsletter
And Building Your First Multimodal GenAI App 🚀
Sep 9, 2024

Cutting AI Assistant Costs by Up to 77.8%: The Power of Enhancing LLMs with Business Logic

AI
LLMs
Agents
Newsletter
And Kicking off Data Dialogs, a new series of data, ML, and AI conversations for data leaders.
Aug 12, 2024

Building Reliable and Robust ML/AI Pipelines

AI
LLMs
Agents
Newsletter
From ML to AI Eng, Navigating the Shift to Foundation Models.
Jul 29, 2024

Rethinking Data Science, ML, and AI

AI
LLMs
Agents
Newsletter
And Systematically Improving LLM and RAG applications.
Jul 15, 2024

42 Lessons from a Year of Building with AI Systems

GenAI
LLMs
Findings from a three-hour livestream and two podcast episodes about lessons from building real-world applications on top of LLMs.
Jul 1, 2024
Hugo Bowne-Anderson

Fine-Tuning GPT-2 for Spam Classification: A Live Coding Session with Sebastian Raschka

GenAI
LLMs
Discover how to fine-tune a pre-trained GPT-2 model for spam classification in this step-by-step tutorial. Learn data preprocessing techniques, model architecture modification, and the training process using PyTorch. Understand key concepts like freezing layers, cross-entropy loss, and evaluation metrics. See how fine-tuning can significantly improve accuracy from 50% to 95%. Explore ideas for further optimization and adapting the approach to other text classification tasks like sentiment analysis and topic classification.
Jun 19, 2024
Hugo Bowne-Anderson and Sebastian Raschka

Developing and Training LLMs From Scratch

GenAI
LLMs
Learn the full lifecycle of building large language models (LLMs) from the ground up. Explore model architecture design, pre-training, fine-tuning, RLHF, and deployment techniques. Discover the skills and hardware needed to work with LLMs, and how to choose between prompt engineering, RAG, and fine-tuning for your use case. Stay up-to-date with cutting-edge research like LoRA, Mixture of Experts, and Direct Preference Optimization. Understand the implications of LLMs for community-driven platforms like Stack Overflow.
Jun 18, 2024
Hugo Bowne-Anderson and Sebastian Raschka

10 Brief Arguments for Local LLMs and AI

GenAI
LLMs
I recently hosted a session with Simon Willison for the “Mastering LLMs” conference, discussing local LLM usage with Simon’s CLI utility. Reflecting on why I prefer local LLMs, key benefits include data privacy, performance, cost efficiency, customization, offline capabilities, learning opportunities, open-source support, scalability, ethical considerations, and autonomy. Recommended tools for getting started include Ollama, Simon’s LLM CLI utility, LlamaFile, LM Studio, and Oobagooba’s text generation webUI.
Jun 17, 2024
Hugo Bowne-Anderson

AI and ML on the Command Line, Local LLMs, and How to Really Build Chatbots

AI
LLMs
Agents
Newsletter
Plus What we Learned from a Year of Building with LLMs and Other Events
Jun 17, 2024

Getting Started with Generative AI for Everyone

GenAI
LLMs
With the advent of Generative AI, more people than ever (technical and non-technical) can build interesting, fun, and productivity-increasing AI apps and workflows. In this post, we introduce the GenAI mindset of combining atomic units to build AI-powered apps and workflows
May 28, 2024
Hugo Bowne-Anderson and Jonathan Whitaker

Boost Your Productivity with ChatGPT in 2024: Simple Steps to Get Started

GenAI
LLMs
Have a 60-page PDF you don’t have time to read and want summarized? A meeting you need action items from? Or an online video you need transcribed and summarized? Would you like them to then generate a PDF, text file, or spreadsheet of the results? You can do all of this with ChatGPT.
May 28, 2024
Hugo Bowne-Anderson

ChatGPT, Author of The Quixote

GenAI
LLMs
In the era of generative AI, copyright won’t be enough. In fact, it’s the wrong place to look.
Mar 24, 2024
Hugo Bowne-Anderson

Lights, GenAI, Action – Building Systems with Generative Video

GenAI
Metaflow
We created a workflow to generate hundreds of videos with Stable Video Diffusion in one command.
Dec 10, 2023

What is Causal Inference?

Causal inference
An Introduction for Data Scientists and Machine Learning Engineers.
Jul 28, 2022
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