Tue.Oct 08, 2024

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Securing the data pipeline, from blockchain to AI

Dataconomy

Generative artificial intelligence is the talk of the town in the technology world today. Almost every tech company today is up to its neck in generative AI, with Google focused on enhancing search, Microsoft betting the house on business productivity gains with its family of copilots, and startups like Runway AI and Stability AI going all-in on video and image creation.

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7 Cool Data Science Project Ideas for Beginners

KDnuggets

Are you a data science beginner looking to build your portfolio? Start working on these projects today.

professionals

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Introducing Databricks Apps

databricks

Summary Databricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS.

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Step-by-Step Guide to Deploying ML Models with Docker

KDnuggets

Tired of fixing the same deployment issues? Learn how Docker can keep your ML models running smoothly, every time.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

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.

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The Long Context RAG Capabilities of OpenAI o1 and Google Gemini

databricks

Retrieval Augmented Generation (RAG) is the top use case for Databricks customers who want to customize AI workflows on their own data. The.

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Using Hugging Face Transformers with PyTorch and TensorFlow

KDnuggets

With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.

More Trending

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SAP Brews Up New Thermodynamic Charges In Joule Copilot

Adrian Bridgwater for Forbes

SAP Knowledge Graph is designed to help software application development engineers to use SAP data in closer connection with its business context.

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How to Measure the ROI of GenAI Investments?

Analytics Vidhya

Introduction Generative AI is experiencing an incredible boom, and it’s no longer just a tech-centric topic. It has caught the eye of top business leaders and is now a tool in the C-suite’s arsenal. As organizations deploy Generative AI in their workflows, it is crucial for them to evaluate if this technology is delivering the […] The post How to Measure the ROI of GenAI Investments?

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Domino Data Lab Transforms AI Governance from Innovation Tax into Value Driver

insideBIGDATA

Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, today announced Domino Governance, a new solution for mitigating AI's risks while accelerating its rewards. Its unique approach automatically orchestrates the fully governed model lifecycle.

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Essential Practices for Building Robust LLM Pipelines

Analytics Vidhya

Introduction Large Language Model Operations (LLMOps) is an extension of MLOps, tailored specifically to the unique challenges of managing large-scale language models like GPT, PaLM, and BERT. While MLOps focuses on the lifecycle of machine learning models in general, LLM Ops addresses the complexities introduced by models with billions of parameters, such as handling resource-intensive […] The post Essential Practices for Building Robust LLM Pipelines appeared first on Analytics Vidhya.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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At 2024 AI Hardware & Edge AI Summit: Elio Van Puyvelde, CIO, Nscale

insideBIGDATA

At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Elio Van Puyvelde, CIO, Nscale, the hyperscaler engineeried for AI where you can access thousands of GPUs tailored to your requirements using the Nscale AI cloud platform.

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Evaluating and Monitoring LLM & RAG Applications with Opik

Analytics Vidhya

Introduction AI development is making significant strides, particularly with the rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) applications. As developers strive to create more robust and reliable AI systems, tools that facilitate evaluation and monitoring have become essential. One such tool is Opik, an open-source platform designed to streamline the evaluation, testing, […] The post Evaluating and Monitoring LLM & RAG Applications with Opik appeared f

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Lead Drinking-Water Pipes Must Be Replaced Nationwide, EPA Says

Hacker News

The “historic” rule aims to eliminate a major source of lead poisoning and comes a decade after a drinking-water crisis in Flint, Mich.

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Top 10 Reddit Threads on LLM Agents that you Must Follow

Analytics Vidhya

Introduction Looking to stay updated on the latest in LLM (Large Language Model) agents? Reddit is the perfect place for real-time discussions, expert insights, and practical advice. In this article, I have highlight the top Reddit threads you should follow. Whether you’re a beginner or an expert, these threads will help you learn and grow […] The post Top 10 Reddit Threads on LLM Agents that you Must Follow appeared first on Analytics Vidhya.

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How to Modernize Manufacturing Without Losing Control

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

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Nobel Prize in Physics Awarded for Machine Learning and Neural Networks

Hacker News

The Nobel Prize in Physics 2024 was awarded to John J. Hopfield and Geoffrey E.

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Top 5 AI Agent Projects to Try

Analytics Vidhya

Introduction AI agents are the driving force behind many modern applications, offering autonomy, intelligence, and adaptability. From automating processes to making decisions in real-time, these agents play an essential role across industries. In this article, we’ll explore five exciting AI agent projects. Each project will challenge and expand your skills.

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Do U.S. ports need more automation?

Hacker News

On October 1st, 47,000 members of the International Longshoremen's Association (ILA), primarily dockworkers on East and Gulf Coast ports, went on strike after failing to agree contract terms with USMX, an alliance of port operators and employers.

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30 Python Code Snippets for your Everyday Use

Analytics Vidhya

Introduction Python is widely used by developers since it is an easy language to learn and implement. One its strong sides is that there are many samples of useful and concise code that may help to solve definite problems. Regardless of whether you are dealing with files, data, or web scraping these snippets will help […] The post 30 Python Code Snippets for your Everyday Use appeared first on Analytics Vidhya.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.

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Show HN: Winamp and other media players, rebuilt for the web with Web Components

Hacker News

Video and audio player themes that work for any web player (Video.js, Youtube embeds, and more), and with every web app framework (HTML, React, and more). Open source and built with Media Chrome so they’re fully customizable using just HTML and CSS.

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Contrastive Localized Language-Image Pre-Training

Machine Learning Research at Apple

Contrastive Language-Image Pre-training (CLIP) has been a celebrated method for training vision encoders to generate image/text representations facilitating various applications. Recently, CLIP has been widely adopted as the vision backbone of multimodal large language models (MLLMs) to connect image inputs for language interactions. The success of CLIP as a vision-language foundation model relies on aligning web-crawled noisy text annotations at image levels.

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Stop Ignoring Your High Performers

Hacker News

Managers often make a costly mistake in leaving high performers to perform at their maximum capacity without support, choosing to instead devote their time and attention to underperformers. In doing so, though, these high performers are often left feeling overlooked and neglected. Contrary to popular belief, high performers need just as much attention as underperformers — just not in the same way.

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When is Multicalibration Post-Processing Necessary?

Machine Learning Research at Apple

Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates. Multicalibration is a related notion -- originating in algorithmic fairness -- which requires predictors to be simultaneously calibrated over a potentially complex and overlapping collection of protected subpopulations (such as groups defined by ethnicity, race, or income).

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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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Switching customers from Linux to BSD because boring is good

Hacker News

Stability? Predictability? Reliability? Where's the fun in that?

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On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization

Machine Learning Research at Apple

Reinforcement Learning from Human Feedback (RLHF) is an effective approach for aligning language models to human preferences. Central to RLHF is learning a reward function for scoring human preferences. Two main approaches for learning a reward model are 1) training an explicit reward model as in RLHF, and 2) using an implicit reward learned from preference data through methods such as Direct Preference Optimization (DPO).

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Bitcoin creator is Peter Todd, HBO film says

Hacker News

Documentary claims a Canadian developer is the real Satoshi Nakamoto.

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Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

AWS Machine Learning Blog

In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Onboarding new customers in the banking industry is a crucial step in the customer journey, involving a series of activities designed to fulfill know your customer (KYC) requirements, conduct necessary verifications, and introduce them to the bank’s products or services.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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The Static Site Paradox

Hacker News

Loris Cro's Blog

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Seen from space: Hurricane Milton approaches

FlowingData

NOAA has a viewer for their GOES (Geostationary Operational Environmental Satellite) system, which provides current imagery from space. The images update every five minutes, and you can see different bands at different times for different locations.

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How to Delete Your 23andMe Data Amid the Company's Turmoil

Hacker News

DNA analysis company 23andme has been in trouble lately: data was breached in a 2023 hack, and this September the entire board of directors resigned over disagreements with the CEO. That CEO, Anne Wojcicki, had said she was open to third-party takeover proposals; she only reversed that decision this week. The company is not currently for sale, but nothing about this is looking good—and it’s not clear what would happen to customer data if the company goes under.

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Samsung’s apology signals they’re slipping in the AI race

Dataconomy

Samsung Electronics has publicly apologized and admitted it’s facing what many are calling a “crisis” after revealing lower-than-expected profits. According to the Financial Times , the South Korean tech giant reported an operating profit of 9.1 trillion won ($6.8 billion) for the third quarter, falling short of market forecasts, which had predicted 10.3 trillion won, as per LSEG SmartEstimates.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?