Unveiling AI Hallucinations: Decoding the Dark Side of AI Models
Author(s): Louis Bouchard Originally published on Towards AI. An introduction to explainable AI Originally published on louisbouchard.ai, read it 2 days before on my blog! Powerful artificial intelligence models like DALLE or ChatGPT are super useful and fun to use. But what …
OpenAI Blows Open the Gates to Enterprise AI
Author(s): Jorge Alcántara Barroso Originally published on Towards AI. Welcome to the future of enterprise solutions: a space being taken over by Artificial Intelligence (AI), and, more specifically, OpenAI’s new B2B focus. With the explosion of tools and technologies, enterprises are riding …
Interpretable AI with SHAP
Author(s): Quin Daly Originally published on Towards AI. Photo by Nik Korba on Unsplash We live in the age of AI. It’s all around us, and the media doesn’t allow us to forget the impact that it continues to have on the …
Automatic Differentiation with Python and C++ for Deep Learning
Author(s): Luiz doleron Originally published on Towards AI. This story explores automatic differentiation, a feature of modern Deep Learning frameworks that automatically calculates the parameter gradients during the training loop. The story introduces this technology in conjunction with practical examples using Python …
Revolutionizing Human-Machine Interaction: The Emergence of Prompt Engineering
Author(s): Dimitris Poulopoulos Originally published on Towards AI. Decoding the art and science of prompt engineering, the secret sauce for supercharging Large Language Models. This member-only story is on us. Upgrade to access all of Medium. Photo by Mojahid Mottakin on Unsplash …
This AI newsletter is all you need #62
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we have been watching development in coding models at META as well as new fine-tuning capabilities at OpenAI. Meta has introduced Code …
Reinforcement Learning: Markov Decision Process — Part 1
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing the backbone of Reinforcement Learning — The Markov Decision Process This member-only story is on us. Upgrade to access all of Medium. Image by Ricardo Gomez Angel on Unsplash In most of …
ChatGPT Code Interpreter in Machine Learning- Is It Effective?
Author(s): Gencay I. Originally published on Towards AI. The Power of Machine Learning with ChatGPT Code Interpreter: A Data Science Revolution This member-only story is on us. Upgrade to access all of Medium. Created with Leonardo.ai Are you interested in Machine Learning? …
Advanced Tutorial: How to Master Matplotlib Like an Absolute Boss
Author(s): Bex T. Originally published on Towards AI. Use Matplotlib like never before This member-only story is on us. Upgrade to access all of Medium. Image by me with Midjourney When I was a beginner learning data visualization, I used to have …
Inside Code Llama: Meta AI’s Entrance in the Code LLM Space
Author(s): Jesus Rodriguez Originally published on Towards AI. The new family of models builds on the Llama 2 foundation to match state-of-the-art performance across different code generation tasks. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over …
Log-normal Distribution Simply Explained
Author(s): Egor Howell Originally published on Towards AI. A slight modification of the famous normal distribution This member-only story is on us. Upgrade to access all of Medium. Photo by James Yarema on Unsplash The normal distribution is a household name, particularly …
🦜🔗Build Robust ML Backends with Pydantic and Langchain
Author(s): Marcello Politi Originally published on Towards AI. Learn how to prevent users and LLMs mistakes in your code Photo by Bradley Ziffer on Unsplash This member-only story is on us. Upgrade to access all of Medium. It is well known that …
Steepest Descent and Newton’s Method in Python, from Scratch: A Comparison
Author(s): Nicolo Cosimo Albanese Originally published on Towards AI. Implementing the Steepest Descent Algorithm in Python from Scratch This member-only story is on us. Upgrade to access all of Medium. Image by author.IntroductionProblem statement and steepest descentNewton’s methodImplementationConclusions and Final Comparison In …
Learn How to Train Object Detection Models With MMDetection
Author(s): Leon Eversberg Originally published on Towards AI. A step-by-step tutorial on training state-of-the-art AI models with MMdetection 3.1, CVAT, and TensorBoard This member-only story is on us. Upgrade to access all of Medium. Terminal output of a running training process with …
How to Define an AI Problem
Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. A better way to ask an AI/ML question Towfiqu barbhuiya on Unsplash With more than 25 years of software engineering experience, I have answered a lot of questions from software developers who …
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