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When asked to confirm the current year, Google’s AI-generated top result confidently answers, “No, it is not 2025.”
In this post, we demonstrate an example of building an agentic RAG application using the LlamaIndex framework. LlamaIndex is a framework that connects FMs with external data sources. It helps ingest, structure, and retrieve information from databases, APIs, PDFs, and more, enabling the agent and RAG for AI applications. This application serves as a research tool, using the Mistral Large 2 FM on Amazon Bedrock generate responses for the agent flow.
The US says it will “aggressively revoke” Chinese student visas and has paused interviews for all student visa applicants. Experts warn the moves could weaken American leadership in STEM.
In this post, we focus on the Amazon Nova Canvas image generation model. We then provide an overview of the image generation process (diffusion) and dive deep into the input parameters for text-to-image generation with Amazon Nova Canvas.
In this post, we explore how Amazon Nova Canvas can solve real-world business challenges through advanced image generation techniques. We focus on two specific use cases that demonstrate the power and flexibility of this technology: interior design and product photography.
While EVI 3’s specific API pricing has not been announced yet (marked as TBA), the pattern suggests it will be usage-based.
And why self-hosting might be the safer bet
The post The Hidden Security Risks of LLMs appeared first on Towards Data Science.
A personal guide to the skills, tools, and mindset behind the title
The post I Transitioned from Data Science to AI Engineering: Here’s Everything You Need to Know appeared first on Towards Data Science.
The great simplification experiment
The post The Simplest Possible AI Web App appeared first on Towards Data Science.
Containerize your Python apps to eliminate environment issues and simplify deployment. This guide shows you why it helps and how to get started with Docker.
Additionally, the model’s hallucination rate has been reduced, contributing to more reliable and consistent output.
New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.
EnCharge AI, a startup that raised $144 million to date, announced the EnCharge EN100, an AI accelerator built on analog in-memory computing.
Peer launched Global Simulation, a real-time digital Earth where players use avatars to connect by location and build relationships in a living, spatial network.
Stop wasting time on dirty data! Learn how to clean it up in minutes with Pandera.
Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP of AI and machine learning at GSK (formerly GlaxoSmithKline). She and Ben discuss using AI and machine learning to get better diagnoses that reflect the differences between patients. Listen in to learn about the challenges of working with health […]
HuggingFace's smolagents framework in action
The post From Data to Stories: Code Agents for KPI Narratives appeared first on Towards Data Science.
ChatGPT podcast, AI browser, job crash, DeepSeek r1, searchless future, and more...
Agentic AI played a decisive role in dismantling DanaBot, a Russian malware platform responsible for more than 50 million dollars in damages.
S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.
Mistral's Codestral Embed will help make RAG use cases faster and find duplicate code segments using natural language.
Interactive robots should not just be passive companions, but active partners -- like therapy horses who respond to human emotion -- say researchers.
Nvidia CEO Jensen Huang tiptoed into politics with a comment taking a shot at the U.S. policy that has cut off sales of his chips to China.
Nvidia, the AI and graphics chip company driving societal changes with AI, reported revenue for the first quarter was up 69%.
The Agent Card helps discover agents, but how does communication between agents actually work in practice?
The post Multi-Agent Communication with the A2A Python SDK appeared first on Towards Data Science.
Auto differentiation and JIT compilation make a compelling case.
The post JAX: Is This Google’s NumPy killer? appeared first on Towards Data Science.
The internet freaked out after Anthropic revealed that Claude attempts to report “immoral” activity to authorities under certain conditions. But it’s not something users are likely to encounter.
New research from Meta reveals AI models achieve 34.5% better accuracy with shorter reasoning chains, challenging industry assumptions and potentially reducing computing costs by 40%.
In this post, we walk through how to build a multi-agent investment research assistant using the multi-agent collaboration capability of Amazon Bedrock. Our solution demonstrates how a team of specialized AI agents can work together to analyze financial news, evaluate stock performance, optimize portfolio allocations, and deliver comprehensive investment insights—all orchestrated through a unified, natural language interface.
A progressive approach to implementing AI-powered webpage detection applications into production
The post Detecting Malicious URLs Using LSTM and Google’s BERT Models appeared first on Towards Data Science.