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The Covid-19 pandemic showed just how vulnerable global supply chains are. Climate shocks could pose an even greater risk.
A group of activists is turning to an old playbook to influence the future of one of the world’s most powerful AI companies.
“This is your brain on an LLM”, and other things you shouldn’t say
The post Talking to Kids About AI appeared first on Towards Data Science.
Learn the fundamentals of how to create AI Agents.
The post Agentic AI 101: Starting Your Journey Building AI Agents appeared first on Towards Data Science.
Discover how Rust complements Python with speed, safety, and control — and why it's worth your attention as a modern developer.
The post Rust for Python Developers: Why You Should Take a Look at the Rust Programming Language appeared first on Towards Data Science.
A pocket AI app, AI search, Mental Model Operator, AI minus teachers, and more...
Like many other fields, the world of observability is about to be turned upside down
The post A Farewell to APMs — The Future of Observability is MCP tools appeared first on Towards Data Science.
And monitor your API usage on Google Cloud Console
The post Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit appeared first on Towards Data Science.
Learn 80% about what they are and their applications with 20% effort
The post Practical Eigenvectors appeared first on Towards Data Science.
Meta’s contentious AI copyright battle is heating up—and the court may be close to a ruling.
In this post, we share comprehensive best practices and scientific insights for fine-tuning Meta Llama 3.2 multimodal models on Amazon Bedrock. By following these guidelines, you can fine-tune smaller, more cost-effective models to achieve performance that rivals or even surpasses much larger models—potentially reducing both inference costs and latency, while maintaining high accuracy for your specific use case.
It is a well-known fact that different model families can use different tokenizers. However, there has been limited analysis on how the process of “tokenization” itself varies across these tokenizers. Do all tokenizers result in the same number of tokens for a given input text? If not, how different are the generated tokens? How significant […]
In my past articles, I have explored and compared many AI tools, for example, Google’s Data Science Agent, ChatGPT vs. Claude vs. Gemini for Data Science, DeepSeek V3, etc. However, this is only a small subset of all the AI tools available for data science. Just to name a few that I used at work: […]
The post How AI Is Rewriting the Day-to-Day of Data Scientists appeared first on Towards Data Science.
The MCP proposed by Anthropic offers a standardized way of connecting FMs to data sources, and now you can use this capability with SageMaker AI. In this post, we presented an example of combining the power of SageMaker AI and MCP to build an application that offers a new perspective on loan underwriting through specialized roles and automated workflows.
In this post, we show how you can automate language localization through translating documents using Amazon Web Services (AWS). The solution combines Amazon Bedrock and AWS Serverless technologies, a suite of fully managed event-driven services for running code, managing data, and integrating applications—all without managing servers.
In this post, we introduce agentic automatic mortgage approval, a next-generation sample solution that uses autonomous AI agents powered by Amazon Bedrock Agents and Amazon Bedrock Data Automation. These agents orchestrate the entire mortgage approval process—intelligently verifying documents, assessing risk, and making data-driven decisions with minimal human intervention.
Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.
Anyone in the U.S. can now get immediate access to AI Mode in Labs.
Explore a marketplace for LLM APIs where you can effortlessly access and pay for top-tier AI models without the usual hassle.
People are using ChatGPT’s new image generator to take part in viral social media trends. But using it also puts your privacy at risk—unless you take a few simple steps to protect yourself.
Tired of wrangling JSON with scripts and regex? DuckDB lets you run SQL queries on JSON files, making structured and semi-structured data analysis a breeze.
Astronomer secures $93 million in Series D funding to solve the AI implementation gap through data orchestration, helping enterprises streamline complex workflows and operationalize AI initiatives at scale.
The release demonstrates that with carefully curated data and training techniques, small models can deliver strong reasoning performance.
While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door key and cool roundness of an apple.
Salesforce unveils groundbreaking AI research tackling "jagged intelligence," introducing new benchmarks, models, and guardrails to make enterprise AI agents more intelligent, trusted, and consistently reliable for business use.
Long confined to the lab, humanoids finally appear ready to work in manufacturing. There are just a few hurdles to get them to market.
For years, North Korea has been secretly placing young IT workers inside Western companies. With AI, their schemes are now more devious—and effective—than ever.
Exploring ChatGPT in my 15 years coding learning journey — Moving beyond copy-pasting
The post How Would I Learn to Code with ChatGPT if I Had to Start Again appeared first on Towards Data Science.
Create computer vision applications with a modern graphical user interface in Python using OpenCV and Python.
The post Modern GUI Applications for Computer Vision in Python appeared first on Towards Data Science.
68-page prompt guide, AI consultancy, AI images, language learning, and more...