When Data Lies: Finding Optimal Strategies for Penalty Kicks with Game Theory
A data-driven introduction to game theory, Nash equilibrium, and strategic decision-making
The post When Data Lies: Finding Optimal Strategies for Penalty Kicks with Game Theory appeared first on Towards Data Science.
From Text to Tables: Feature Engineering with LLMs for Tabular Data
While large language models (LLMs) are typically used for conversational purposes in use cases that revolve around natural language interactions, they can also assist with tasks like feature engineering on complex datasets.
Google Stax: Testing Models and Prompts Against Your Own Criteria
Learn how Google Stax tests AI models and prompts against your own criteria. Compare Gemini vs GPT with custom evaluators. Step-by-step guide for beginners
Analyzing a set of objective facts about language models role and evolution, with some thoughts on the following question: are they the new commodity of the decade we can no longer live without?
Top 7 Free Anthropic AI Academy Courses with Certificates
Having the right certificate can make all the difference. But with so many out there, getting the right one isn’t easy. That’s where Anthropic Academy comes in. Anthropic, the company behind the Claude AI models, has introduced a learning platform through its Skilljar academy that offers structured ...
Learn how people are turning AI tools into real income by building practical systems, selling outcomes, and creating niche products that businesses are willing to pay for.
Machine Learning at Scale: Managing More Than One Model in Production
From one model to managing a massive portfolio: What 10 years in the industry taught me
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Nanochat Can Now Train a GPT-2 Level Model in Just 2 Hours
AI development is accelerating fast. Advances in hardware, software optimization, and better datasets now allow training runs that once took weeks to finish in hours. A recent update from AI researcher Andrej Karpathy shows this shift clearly: the Nanochat open-source project can now train a GPT-2 m...
LatentVLA: Latent Reasoning Models for Autonomous Driving
What if natural language is not the best abstraction for driving?
The post LatentVLA: Latent Reasoning Models for Autonomous Driving appeared first on Towards Data Science.
Five classical data science skills are becoming the scarcest resource in tech. A 90-day roadmap to build them while everyone else chases AI hype.
The post The AI Bubble Has a Data Science Escape Hatch appeared first on Towards Data Science.
We Tried The New GPT-5.4 And it is The Most Powerful ChatGPT Has Ever Been
OpenAI is out with a major update, building on its GPT-5 series with the all-new GPT-5.4. Introduced as GPT-5.4 Thinking, the model will also come with a GPT-5.4 Pro version for those seeking “maximum performance” on complicated tasks. Even the base version comes with a plethora of improvements over...
New Update Makes GPT-5.3 Instant More Useful For Everyday Tasks
You don’t always go for a benchmark score to see which AI model fits your needs. Even the highest ranking models sometimes seem to miss the essence of a conversation entirely. What matters then is how fluid and helpful your conversations with AI are. Taking a step in this direction, OpenAI has now i...
NotebookLM Gets a Game-changing Feature: Check Out Cinematic Video Overviews
Whenever I am to suggest a new AI tool to someone who is just starting out, there is one name I know can bring them unprecedented value. NotebookLM, the famous AI tool by Google, is just one-too-many solutions wrapped into a neat package of an “AI research tool.” It can summarise your notes, find yo...
Want to move beyond drawing boxes and arrows and actually understand how scalable systems are built? These GitHub repositories break down the concepts, patterns, and real-world trade-offs that make great system design possible.
PhysicEdit: Teaching Image Editing Models to Respect Physics
Instruction-based image editing models are impressive at following prompts. But when edits involve physical interactions, they often fail to respect real-world laws. In their paper “From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors,” the authors introduce PhysicEdit...
Stop Tuning Hyperparameters. Start Tuning Your Problem.
80% of ML projects fail from bad problem framing, not bad models. A 5-step protocol to define the right problem before you write training code.
The post Stop Tuning Hyperparameters. Start Tuning Your Problem. appeared first on Towards Data Science.
I Quit My $130,000 ML Engineer Job After Learning 4 Lessons
What they don't tell you about "dream tech jobs"
The post I Quit My $130,000 ML Engineer Job After Learning 4 Lessons appeared first on Towards Data Science.
10 Agentic AI Concepts Explained in Under 10 Minutes
An AI agent combines a large language model for reasoning, access to tools or APIs for action, memory to retain context and a control loop to decide what happens next.
20 OpenClaw Prompts to Automate Your Daily Life and Work
Autonomous AI agents are easily among the most efficient uses of AI to date. And once you begin to put it to work, OpenClaw shines out as one of the leading enablers of AI automation. If you’ve figured that out by now, here is a list of OpenClaw prompts that will help you do more […]
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