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Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI interview.
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses RAG techniques, particularly those involving graph-based knowledge representation, can significantly enhance their performance. One such innovative solution is GraphRAG, which combines the power of knowledge graphs with LLMs to boost accuracy and contextual understanding.
TL;DR: Landmines pose a persistent threat and hinder development in over 70 war-affected countries. Humanitarian demining aims to clear contaminated areas, but progress is slow: at the current pace, it will take 1,100 years to fully demine the planet. In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance
With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Forget the glitz of Dubai or the bustle of Lisbon. If you’re serious about the future of Web3 (or want to know what all the fuss is about), you need to head to Narva, Estonia, on December 4-5. Why Narva? Because that’s where W3N is setting up shop, and this isn’t your average Web3 or tech conference. I’ve been covering tech since before some of you were born (ouch!
Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.
Today we are announcing the general availability of Amazon Bedrock Prompt Management , with new features that provide enhanced options for configuring your prompts and enabling seamless integration for invoking them in your generative AI applications. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help developers and prompt engineers get better responses from foundation models (FMs) for their use cases.
Author(s): Igor Novikov Originally published on Towards AI. Looking smart 😂 Image created by AI tool DALL·E 3 — the author has the provenance and copyright Many of you, I bet, heard about game theory at some point in your life. If you want to sound smart and impress your girlfriend — just mention “zero-sum game” and your chances to bring her home tonight have just increased by 50%.
While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
To stay competitive, media, advertising, and entertainment enterprises need to stay abreast of recent dramatic technological developments. Generative AI has emerged as a game-changer, offering unprecedented opportunities for creative professionals to push boundaries and unlock new realms of possibility. At the forefront of this revolution is Stability AI’s family of cutting-edge text-to-image AI models.
Last Updated on November 7, 2024 by Editorial Team Author(s): Florian June Originally published on Towards AI. A Comprehensive Guide with Insights This member-only story is on us. Upgrade to access all of Medium. A large number of documents — including technical documentation, historical records, academic publications, and legal files — exist in scanned or image formats.
This is the third article of the series, Agentic AI Design Patterns; here, we will talk about the Agentic AI Planning Pattern. Let’s refresh what we have learned in the two articles – We have studied how agents can reflect and use tools to access information. In the Reflection pattern, we have seen the AI […] The post What is Agentic AI Planning Pattern?
Atomic nuclei are self-organized, many-body quantum systems bound by strong nuclear forces within femtometre-scale space. These complex systems manifest a variety of shapes1–3, traditionally explored using non-invasive spectroscopic techniques at low energies4,5. However, at these energies, their instantaneous shapes are obscured by long-timescale quantum fluctuations, making direct observation challenging.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them.
Introduction Databricks AI/BI Dashboards have made significant strides since we announced their General Availability. Built on Databricks SQL and powered by Data Intelligence.
According to a 9to5Mac report, Apple is reportedly preparing to upgrade its AI cloud computers with the new M4 chip, starting next year. Currently, these special cloud computers, designed for processing Apple Intelligence requests, are powered by the M2 Ultra chip. However, a new report suggests that the M4 chip will soon replace it, aiming to boost Apple’s AI capabilities.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
We are excited to share the latest features and performance improvements that make Databricks SQL simpler, faster, and more affordable than ever. Databricks.
Microsoft has introduced a new multi-agent artificial intelligence (AI) system called Magnetic-One, designed to complete complex tasks using multiple specialized agents. Available as an open-source tool on Microsoft AutoGen, this system aims to assist developers and researchers in creating applications that can autonomously manage multi-step tasks across various domains.
GitHub has taken a significant step in expanding its suite of AI tools by introducing GitHub Spark, an AI-powered platform designed to revolutionize the way developers build applications. This new tool, which launched last week, went largely unnoticed by mainstream media but may represent a major turning point in software development—particularly in how we use apps on our devices.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Law enforcement believe the activity, which makes it harder to then unlock the phones, may be due to a potential update in iOS 18 which tells nearby iPhones to reboot if they have not been in contact with a cellular network for some time, according to a document obtained by 404 Media.
Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
The Microsoft Azure Core Upstream team is excited to announce the Hyperlight project, an open-source Rust library you can use to create very small VMs for embedded functions. Learn more.
Samsung Electronics was once the dominant player in a type of semiconductor known as memory, putting it in a great position to capitalize on the boom …
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
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