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For the past decade and a half, I’ve been exploring the intersection of technology, education, and design as a professor of cognitive science and design at UC San Diego. Some of you might have read my recent piece for O’Reilly Radar where I detailed my journey adding AI chat capabilities to Python Tutor, the free […]
“My mind is still sharp and my hands work just fine, so I have no interest in getting help from AI to draw or write stories,” says Lee Hyun-se, a legendary South Korean cartoonist best known for his seminal series A Daunting Team, a 1983 manhwa about the coming-of-age of heroic underdog baseball players. “Still,…
Supercharge your data projects by turning your code into a lightweight, reusable API
The post Building a Personal API for Your Data Projects with FastAPI appeared first on Towards Data Science.
How to quickly create cloud storage and access it remotely
The post Beginner’s Guide to Creating a S3 Storage on AWS appeared first on Towards Data Science.
AI's future, o3 drama, AI eyes, Code2Tutorial, personal growth, AI coding, and more...
Given the critical need to keep models updated in a time and cost effective way, RAG has become an increasingly popular architecture
The post Retrieval Augmented Generation (RAG) — An Introduction appeared first on Towards Data Science.
What LLM Prompts Reveal About Candidates
The post Beyond the Code: Unconventional Lessons from Empathetic Interviewing appeared first on Towards Data Science.
Introduction EVALUATE is the statement to query tabular models. Unfortunately, knowing SQL or any other query language doesn’t help as EVALUATE follows a different concept. EVALUATE has only two “Parameters”: You can pass a third parameter (START AT), but this one is rarely used. However, a DAX query can have additional components. Those are defined […]
The post How to Write Queries for Tabular Models with DAX appeared first on Towards Data Science.
Today, we are excited to announce the availability of Prompt Optimization on Amazon Bedrock. With this capability, you can now optimize your prompts for several use cases with a single API call or a click of a button on the Amazon Bedrock console. In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group.
In this post, we combine Amazon Bedrock Agents and Foursquare APIs to demonstrate how you can use a location-aware agent to bring personalized responses to your users.
This article explores how browser-based computational notebooks —particularly the WLJS Notebook —can transform static slides into dynamic, real-time experiences. This approach isn't limited to presentations; you can prepare interactive lecture notes for students or colleagues and publish it on web. For data scientists, physicists, it highlights new ways to communicate models, simulations, and visualizations, making complex ideas more intuitive and engaging.
The post How to Use Gyroscope in Presentations, or Why Take a JoyCon to DPG2025 appeared first on Towards Data Science.
The segment ended with a meditation on the future: a world where AI tools could transform almost every human endeavor.
In this post, we explore the importance of evaluating LLMs in the context of generative AI applications, highlighting the challenges posed by issues like hallucinations and biases. We introduced a comprehensive solution using AWS services to automate the evaluation process, allowing for continuous monitoring and assessment of LLM performance. By using tools like the FMeval Library, Ragas, LLMeter, and Step Functions, the solution provides flexibility and scalability, meeting the evolving needs of LLM consumers.
Automating text data cleaning in Python makes it easy to fix messy data by removing errors and organizing it. In just 5 simple steps, you can quickly turn raw text into clean, ready-to-analyze data.
Anthropic's groundbreaking study analyzes 700,000 conversations to reveal how AI assistant Claude expresses 3,307 unique values in real-world interactions, providing new insights into AI alignment and safety.
Enhance language models with real-time document retrieval and dynamic knowledge integration using retrieval-augmented generation and LlamaIndex.
Today, we’re opening applications for our second Google for Startups AI Academy: American Infrastructure cohort.This six-month program provides tailored technical suppor…
TBD VC, a new early-stage venture capital firm, has announced a $35 million fund to back deep tech Israeli founders at the pre-seed and seed stages, both in Israel and around the globe. The fund launch comes amid a new wave of breakout Israeli tech stories, including Wiz’s recent $32 billion acquisition by Google and […]
Aethir, a provider of decentralized GPU cloud compute, announced the launch of AI Unbundled, an industry-wide alliance for Web3 AI.
Python is one of the most popular languages for machine learning, and it’s easy to see why.
Are you interested in enhancing your machine learning skills? We have put together an outstanding list of free machine learning books to aid your learning journey!
This post is divided into seven parts; they are: - Core Text Generation Parameters - Experimenting with Temperature - Top-K and Top-P Sampling - Controlling Repetition - Greedy Decoding and Sampling - Parameters for Specific Applications - Beam Search and Multiple Sequences Generation Let's pick the GPT-2 model as an example.
Architecture often assumes a binary between built projects and theoretical ones. What physics allows in actual buildings, after all, is vastly different from what architects can imagine and design (often referred to as “paper architecture”). That imagination has long been supported and enabled by design technology, but the latest advancements in artificial intelligence have prompted…
Summary: You know how, back in the day, we used simple word‐count tricks to represent text? Well, things have come a long way since then. Now, when we talk about the evolution of embeddings, we mean numerical snapshots that capture not just which words appear but what they really mean, how they relate to each […]
The post 14 Powerful Techniques Defining the Evolution of Embedding appeared first on Analytics Vidhya.
RoboCop, ChatGPT's habit, rogue AI, a god-tier agent, 7S framework, and more...
The newly published AI 2027 scenario offers a detailed 2 to 3-year forecast for the future that includes specific technical milestones.
AI - humans?, AI masterclass, local video gen, bionic hands, Grok 3 Mini, and more...
Only four of the 21 robots in the race crossed the finish line, highlighting just how far humanoids are from keeping up with their real human counterparts.
When an AI model for code-editing company Cursor hallucinated a new rule, users revolted.
TAAFT Styling, Google glasses, ChatGPT, AI billions, 3d action figures, and more...