Wed.Feb 12, 2025

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Your Enterprise Data Needs an Agent

Snowflake

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex.

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Playwright Visual Testing; How Should Things Look? by Maxwell Nyamunda

Scott Logic

Introduction Using Playwright snapshots with mocked data can significantly improve the speed at which UI regression is carried out. It facilitates rapid automated inspection of UI elements across the three main browsers (Chromium, Firefox, Webkit). You can tie multiple assertions to one snapshot, which greatly increases efficiency for UI testing. This type of efficiency is pivotal in a rapidly scaling GUI application.

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How to Reduce Your Data + AI Downtime

Monte Carlo

The large model is officially a commodity. In just two short years, API-based LLMs have gone from incomprehensible to smartphone accessible. The pace of AI innovation is slowing. Real world use cases are coming into focus. Going forward, the value of your genAI applications will exist solely in the fitnessand reliabilityof your own first-party data.

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Overwriting partitioned tables in Apache Spark SQL

Waitingforcode

After publishing a release of my blog post about the insertInto trap, I got an intriguing question in the comments. The alternative to the insertInto, the saveAsTable method, doesn't work well on partitioned data in overwrite mode while the insertInto does. True, but is there an alternative to it that doesn't require using this position-based function?

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Top 5 Freelancer Websites Better Than Fiverr and Upwork

KDnuggets

Discover freelancing platforms that care about you, not just your money, offering low commission rate, better policies, and higher earning potential.

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What Is LangChain and How to Use It

Edureka

LangChain is a dynamic framework designed to supercharge the potential of Large Language Models (LLMs) by seamlessly integrating them with tools, APIs, and memory. It empowers developers to craft intelligent and context-aware applications, from conversational AI to workflow automation. With its modular design and versatile capabilities, LangChain transforms static LLMs into powerful engines for innovation.

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Full Stack Developer vs Software Developer – Which Is Better ?

Edureka

If you know a lot about computers or are just starting, you have probably come across Full Stack Developer and Software Engineer roles. At first look, they may appear extremely similar. Of course, they aren’t synonymous. But what separates them? More importantly, which one do your goals better align with? In this blog on Full Stack Developers vs Software Engineers, we’ll look at their main differences.

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Announcing the Databricks AI Security Framework 2.0

databricks

We are excited to announce the second edition of the Databricks AI Security Framework (DASF 2.0 download now )! Organizations racing to harness.

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Data Scientist vs Machine Learning Engineer

WeCloudData

Data scientists and Machine Learning engineers are both hot careers to follow with the recent advancement in technology. Both of these domains, data scientist vs machine learning engineer, are in high demand in any data-driven organization. Although data scientists and ML engineers share common ground in building models and handling data, they have differences in […] The post Data Scientist vs Machine Learning Engineer appeared first on WeCloudData.

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What is BERT and How it is Used in GEN AI?

Edureka

Bidirectional Encoder Representations from Transformers, or BERT, is a game-changer in the rapidly developing field of natural language processing (NLP). Built by Google, BERT revolutionizes machine learning for natural language processing, opening the door to more intelligent search engines and chatbots. The design, capabilities, and impact of BERT on altering NLP applications across industries are explored in this blog.

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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Evolution of Utilities: The Rise Of The Data Intelligent Utility

databricks

Utilities Of Today Todays power grid traces its roots back to the late 1800s when Pearl Street Station first serviced a handful of.

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Motivating Engineers to Solve Data Challenges with a Growth Mindset

Confluent

Learn how Confluent Champion Suguna motivates her team of engineers to solve complex problems for customerswhile challenging herself to keep growing as a manager.

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Robinhood Reports Fourth Quarter and Full Year 2024 Results

Robinhood

Robinhood Markets, Inc. (Nasdaq: HOOD) today reported financial results for the quarter ended December 31, 2024 and FY24. Read our Q4 and Full Year 2024 earnings press release here. Access more information at investors.robinhood.com. The post Robinhood Reports Fourth Quarter and Full Year 2024 Results appeared first on Robinhood Newsroom.

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What Is LangChain and How to Use It

Edureka

LangChain is a dynamic framework designed to supercharge the potential of Large Language Models (LLMs) by seamlessly integrating them with tools, APIs, and memory. It empowers developers to craft intelligent and context-aware applications, from conversational AI to workflow automation. With its modular design and versatile capabilities, LangChain transforms static LLMs into powerful engines for innovation.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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エンタープライズデータに必要なのはエージェント

Snowflake

AIAI AILLMLLM Snowflake SnowflakeAIAI AI AI AI SnowflakeCortex AgentsSnowflake Cortex AgentAI Cortex AgentSnowflakePDFCortex SearchCortex AnalystLLM Cortex Agent Cortex AgentREST APILLM Cortex Analyst SQL Cortex Search 4 1. Cortex Agent AcmeCortex Agent Cortex Agent1Acme SuppliesAcme Stationery Cortex AgentCortex AnalystCortex SearchSQL 2.

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How To Use Diffusion Library

Edureka

The Diffusion Library is your way of using AI for creative ideas. It allows you to create amazing pictures from nothing by using noise and text prompts, thanks to strong models like Stable Diffusion. With easy-to-use APIs and ready-made models, it’s an essential tool for anyone interested in generative AI and transforming random noise into art.

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The Ascending Arc of AI Agents

Data Engineering Weekly

Artificial Intelligence (AI) is at a turning point. For decades, conversations about Artificial General Intelligence (AGI) have been met with skepticism. Yet, recent breakthroughs in model architectures, memory management, and continual learning suggest that our machines are becoming ever more capable. This article traces a timeline of key innovations, illustrating how we have moved from simple language model reasoning to interactive , context-rich , and self-improving AI agents.

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What is variational autoencoder architecture?

Edureka

What is a Variational Autoencoder? A Variational Autoencoder (VAE) is a type of generative model that learns to make new data by modeling the probability distribution of the data it is given. The standard autoencoder uses a neural network to turn input data into a fixed-size code and then read it back. This is an addition to that code. A VAE, on the other hand, doesn’t just make a fixed model of the latent data; instead, it maps the input data to a probabilistic distribution (usually Gauss

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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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Building High Throughput Apache Kafka Applications with Confluent and Provisioned Mode for AWS Lambda Event Source Mapping (ESM)

Confluent

Build high throughput Kafka applications using Confluent and Provisioned Mode for Lambda event source mapping (ESM)

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What is Stable Fusion in AI?

Edureka

An innovative artificial intelligence model, Stable Diffusion, can turn plain text into beautiful, high-quality pictures. This open-source application has revolutionized AI-driven creativity with its powerful deep-learning techniques. Stable Diffusion makes it easy and efficient—even on consumer-grade hardware—to generate original artwork, improve current photos, or investigate novel applications.

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Bashfulness

Tweag

When I first joined the Topiary Team, I floated the idea of trying to format Bash with Topiary. While this did nothing to appease my unenviable epithet of the Bash guy, it was our first foray into expanding Topiarys support beyond OCaml and simple syntaxes like JSON. Alas, at the time, the Tree-sitter Bash grammar was not without its problems. I got quite a long way, despite this, but there were too many things that didnt work properly for us to graduate Bash to a supported language.

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Precisely Customers Share SAP Success Stories at Automate User Group

Precisely

Precisely has been hosting quarterly Automate User Group events. The Precisely team showed up in Chicago, IL, to facilitate a day of learning and engagement, complete with customer presentations, demos, and Q&A discussions. During the event, we were able to capture some key insights from Precisely customers, Generac Power Systems and Medela , and learn more about the different ways that they leverage Precisely Automate across their business operations.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.