DECEMBER 25, 2023
The Growing Debate on AI Killing Humans: Artificial General Intelligence as Existential Threat Recent advances in generative artificial intelligence, fueled by the emergence of powerful large language models like ChatGPT, have triggered fierce debates about AI safety even among the “fathers of Deep …
Hacker News
DECEMBER 24, 2023
After Insomniac’s leak incident, it seems that GTA 5 developer Rockstar Games has been targeted next by leakers.
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Analytics Vidhya
DECEMBER 26, 2023
Introduction Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them […] The post A Comprehensive Guide to Implement HuggingFace Models Using Langchain appeared first on Analytics Vidhya.
DECEMBER 27, 2023
Statistics and data science courses prepare students to address many of the major issues of our time.
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.
insideBIGDATA
DECEMBER 30, 2023
Scientists at the Department of Energy’s Pacific Northwest National Laboratory have put forth a new way to evaluate an AI system’s recommendations. They bring human experts into the loop to view how the ML performed on a set of data. The expert learns which types of data the machine-learning system typically classifies correctly, and which data types lead to confusion and system errors.
Data Science Dojo
DECEMBER 8, 2023
In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Zero-shot, one-shot, and few-shot learning are redefining how machines adapt and learn, promising a future where adaptability and generalization reach unprecedented levels. Source: Photo by Hal Gatewood on Unsplash In this exploration, we navigate from the basics of supervised learning to the forefront of adaptive models.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
databricks
DECEMBER 21, 2023
We are excited to announce that Gartner has recognized Databricks as a Leader for a third consecutive year in the 2023 Gartner® Magic.
Analytics Vidhya
DECEMBER 2, 2023
Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.
Adrian Bridgwater for Forbes
DECEMBER 15, 2023
Software application developers care about their code, they fret over whether their software is bug-free and functional, they spend sleepless nights running through de.
insideBIGDATA
DECEMBER 15, 2023
A new special report, "Future of Work Report: AI at Work," was just-released by LinkedIn that looks at the emerging trends within AI in the workplace and examines the potential impact of AI on the future of work.
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.
Data Science Dojo
DECEMBER 6, 2023
In this blog, we are enhancing our Language Model (LLM) experience by adopting the Retrieval-Augmented Generation (RAG) approach! We’ll explore the fundamental architecture of RAG conceptually and delve deeper by implementing it through the Lang Chain orchestration framework and leveraging an open-source model from Hugging Face for both question answering and text embedding.
KDnuggets
DECEMBER 6, 2023
Matching your needs with your ideal visualization framework.
databricks
DECEMBER 6, 2023
Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are.
Analytics Vidhya
DECEMBER 15, 2023
Introduction Since the release of ChatGPT and the GPT models from OpenAI and their partnership with Microsoft, everyone has given up on Google, which brought the Transformer Model to the AI space. More than a year after the GPT models were released, there were no big moves from Google, apart from the PaLM API, which […] The post Building an LLM Model using Google Gemini API appeared first on Analytics Vidhya.
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
Adrian Bridgwater for Forbes
DECEMBER 3, 2023
Applications are changing. So much so that we use the term ‘adaptive applications’ to define apps that are in some way more changeable and chameleonic in their nature.
insideBIGDATA
DECEMBER 22, 2023
In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing. However, its suitability hinges on the careful navigation of ethical concerns, security risks, and the challenges associated with interpretability.
Data Science Dojo
DECEMBER 4, 2023
Artificial Intelligence (AI) is rapidly transforming our world, and 2023 saw some truly groundbreaking AI inventions. These inventions have the potential to revolutionize a wide range of industries and make our lives easier, safer, and more productive. 1. Revolutionizing photo editing with Adobe Photoshop Imagine being able to effortlessly expand your photos or fill in missing parts—that’s what Adobe Photoshop’s new tools, Generative Expand and Generative Fill, do.
KDnuggets
DECEMBER 29, 2023
The year of Generative AI - let’s go through what happened in the past 12 months.
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.
databricks
DECEMBER 8, 2023
Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use.
Analytics Vidhya
DECEMBER 1, 2023
Introduction In the ever-evolving landscape of AI, OpenAI introduces its most remarkable creation yet – ChatGPT-4. This powerhouse of a language model not only possesses advanced linguistic capabilities but also boasts a groundbreaking vision component. With exceptional performance in reasoning tests and support for 26 languages, GPT-4 stands as OpenAI’s most versatile model to date. […] The post 7 Easy Ways to Access ChatGPT-4 for Free appeared first on Analytics Vidhya.
Adrian Bridgwater for Forbes
DECEMBER 16, 2023
AI is changing and it will continue to do so - although this year of generative AI stands out as a seminal moment in time - now we need the right developer tools.
insideBIGDATA
DECEMBER 10, 2023
Welcome insideBIGDATA AI News Briefs Bulletin Board, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies.
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?
Data Science Dojo
DECEMBER 8, 2023
Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way. These advancements have opened up a world of possibilities for applications in various domains, from customer service to education. Want to build a custom llm application?
KDnuggets
DECEMBER 12, 2023
This article provides an overview of two new data preparation techniques that enable data democratization while minimizing transformation burdens.
databricks
DECEMBER 14, 2023
As CEO of the North Pole, Santa Claus oversees one of the world’s most complicated supply chain, manufacturing and logistics operations. Every year, S.
Analytics Vidhya
DECEMBER 29, 2023
Apple has quietly introduced Ferret, its first open-source multimodal large language model (LLM), marking a significant departure from its traditional secretive approach. Developed in collaboration with Columbia University, Ferret integrates language understanding with image analysis, promising groundbreaking applications in various fields. This strategic move reflects Apple’s commitment to stay at the forefront of the rapidly […] The post Apple Secretly Launches Its First Open-Sourc
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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.
Machine Learning Mastery
DECEMBER 25, 2023
Many machine learning models have been developed, each with strengths and weaknesses. This catalog is not complete without neural network models. In OpenCV, you can use a neural network model developed using another framework. In this post, you will learn about the workflow of applying a neural network in OpenCV. Specifically, you will learn: What […] The post Running a Neural Network Model in OpenCV appeared first on MachineLearningMastery.com.
insideBIGDATA
DECEMBER 11, 2023
[SPONSORED POST] Our friends over at DAC recently explored the potential of LLMs to interpret or generate text considering numerous parameters with extraordinary precision. They have demonstrated their ability to evaluate unstructured text blocks and grade them along various scales to great success. Additionally, they have been able to generate specific, tailored content using a complex series of instructions that can be tuned with precision to the same set of scales.
Adrian Bridgwater for Forbes
DECEMBER 12, 2023
Before AI is turned on, we need AI assessment workshops, AI advisory clinics and so-called Proof-of-Concept (PoC) labs and private partner preview programs.
KDnuggets
DECEMBER 7, 2023
This blog post explores NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists.
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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