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Go behind the scenes in this new Lab Session and learn how Indian music icon Shankar Mahadevan used Music AI Sandbox to help create the song ''Rubaroo''.
Learn more about NotebookLM’s Audio Overviews feature and its expansion to more than 50 languages.
Learn more about NotebookLM’s Audio Overviews feature and its expansion to more than 50 languages.
Swiftly process your data without hassle with Pandas-like APIs.
Tripp launched Kōkua AI, a mental wellness guide designed to deliver real-time, personalized emotional support across multiple platforms.
Data science is awesome, waiting for slow code isn’t. Here are five techniques to speed up your workflow and boost productivity.
xMEMS Labs, a pioneer of MEMS-based chips, announced that its innovative µCooling fan-on-a-chip tech will be expanded to AI data centers.
Liking features on social media can provide troves of data about human behavior to AI models. But as AI gets smarter, will it be able to know users’ preferences before they do?
Most companies find that the biggest challenge to AI is taking a promising experiment, demo, or proof-of-concept and bringing it to market. McKinsey Digital Analyst Rodney Zemmel sums this up: It’s “so easy to fire up a pilot that you can get stuck in this ‘death by 1,000 pilots’ approach.” It’s easy to see AI’s […]
Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. AI agents are the AI industry’s hypiest new product—intelligent assistants capable of completing tasks without human supervision. But while they can be theoretically…
In a recent edition of The Sequence Engineering newsletter, “Why Did MCP Win?,” the authors point to context serialization and exchange as a reason—perhaps the most important reason—why everyone’s talking about the Model Context Protocol. I was puzzled by this—I’ve read a lot of technical and semitechnical posts about MCP and haven’t seen context serialization […]
Right now, despite its ubiquity, AI is seen as anything but a normal technology. There is talk of AI systems that will soon merit the term “superintelligence,” and the former CEO of Google recently suggested we control AI models the way we control uranium and other nuclear weapons materials. Anthropic is dedicating time and money…
Part 2 in a series on rethinking AI alignment and safety in the age of deep scheming
The post The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks appeared first on Towards Data Science.
My advice to becoming a machine learning engineer
The post If I Wanted to Become a Machine Learning Engineer, I’d Do This appeared first on Towards Data Science.
ChatGPT Shopping, 200+ AI Apps, ASI, AI coding, market analyst, and more...
A Kind Introduction to AI Evals
The post How to Ensure Your AI Solution Does What You Expect iI to Do appeared first on Towards Data Science.
Your dream data job isn’t ghosting you—you just need to search smart.
The post Struggling to Land a Data Role in 2025? These 5 Tips Will Change That appeared first on Towards Data Science.
Qwen3’s open-weight release under an accessible license marks an important milestone, lowering barriers for developers and organizations.
Crucially, the turbulence also nudges many organizations to explore open-source models they can host, monitor, and fine-tune themselves.
The LOKA protocol, a proposed standard for AI agents from Carnegie Mellon University researchers, will give identities and intentions to agents.
d1 framework changes boosts diffusion LLMs with novel reinforcement learning, unlocking efficient, problem-solving AI possibilities.
Italian essayist Andrea Colamedici tells WIRED Hypnocracy: Trump, Musk, and the New Architecture of Reality was a “philosophical experiment and a performance.” The book’s Chinese author does not exist.
A comparative performance test with NumPy
The post NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used appeared first on Towards Data Science.
Data privacy, compliance, and trust gaps in today’s AI agent integrations
The post When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents appeared first on Towards Data Science.
Denoising, explained
The post Adding Training Noise To Improve Detections In Transformers appeared first on Towards Data Science.
In this post, we demonstrate model customization (fine-tuning) for tool use with Amazon Nova. We first introduce a tool usage use case, and gave details about the dataset. We walk through the details of Amazon Nova specific data formatting and showed how to do tool calling through the Converse and Invoke APIs in Amazon Bedrock. After getting the baseline results from Amazon Nova models, we explain in detail the fine-tuning process, hosting fine-tuned models with provisioned throughput, and using the fine-tuned Amazon Nova models for inference.
This is how I used Large Language Models Agents to simulate an end-to-end restaurant process, with Python.
The post Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI appeared first on Towards Data Science.
Writer unveils Palmyra X5: The enterprise AI model that processes 1,500 pages at once, costs 75% less than GPT-4, and enables affordable autonomous agents for businesses seeking automation ROI.
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
In this post, we introduced the Open Source Bedrock Agent Evaluation framework, a Langfuse-integrated solution that streamlines the agent development process. We demonstrated how this evaluation framework can be integrated with pharmaceutical research agents. We used it to evaluate agent performance against biomarker questions and sent traces to Langfuse to view evaluation metrics across question types.