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The fields of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.
Artificial intelligence (AI) and natural language processing (NLP) technologies are evolving rapidly to manage live data streams. Moreover, LangChain is a robust framework that simplifies the development of advanced, real-time AI applications. What is Streaming Langchain? Why does Streaming Matter in Langchain?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
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. Don’t get left behind—embrace the future of manufacturing with the right balance of technology and human innovation.
By Vinod Chugani on July 11, 2025 in Artificial Intelligence Image by Author | ChatGPT Introduction The explosion of generative AI has transformed how we think about artificial intelligence. This roadmap provides a structured path to develop generative AI expertise independently.
We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.
What if you could use AI to generate strategic feature engineering recommendations instantly? The AI Advantage in Feature Engineering Most automation focuses on efficiency — speeding up repetitive tasks and reducing manual work. But this workflow shows AI-augmented data science in action.
Want to dive deeper into agentic AI? At its core, agentic rag (short for agentic retrieval-augmented generation ) combines traditional RAG methods with the decision-making and autonomy of AI agents. Curious about whether to finetune or use RAG for your AI applications? Explore our full breakdown in this blog.
Speaker: Jason Chester, Director, Product Management
We'll explore how leading teams are embedding quality throughout the entire production process—while leveraging data, SPC, AI, and predictive insights to drive agility, resilience, and sustainable growth!
By Abid Ali Awan , KDnuggets Assistant Editor on July 7, 2025 in Language Models Image by Author | ChatGPT Introduction AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve specific goals. 10 GitHub Repositories for Mastering Agents and MCPs 1.
This blog delves into the significance of popular benchmarks for LLM and explores some of the most influential LLM benchmarks shaping the future of AI. Beyond ranking, MMLU checks if a model can transfer knowledge between areas, crucial for adaptable AI. What is LLM Benchmarking?
Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Traditionally, AI models have relied on cloud-based infrastructure, but this approach often comes with challenges such as latency, privacy concerns, and reliance on a stable internet connection.
In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. Flask and Vector Embedding appeared first on Analytics Vidhya.
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. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST
Robert Califf has made no secret of the Food and Drug Administration’s struggles to regulate generative AI. Large language models and their application to health care “provide a massive example of a technology with novel needs,” FDA commissioner Califf said in an address earlier this year to the Coalition for Health AI.
The Llama model series has been a fascinating journey in the world of AI development. It allowed researchers and developers to dive deeper into AI without the constraints of closed systems. Each iteration has brought its own unique improvements and capabilities, enhancing the way we interact with AI. and the latest, Llama 3.2.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
AI avatars, or “talking heads,” have marked a new step in the way we approach and comprehend digital engagement. Synthesia, D-ID, and Hume AI are among the companies advancing these tools and taking the lead in making this tech as adapted to current demands as possible. Now, the situation is much different. More on that later.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Artificial intelligence Five ways that AI is learning to improve itself From coding to hardware, LLMs are speeding up research progress in artificial intelligence.
AI is merely one facet of a sweeping technological change underway, and companies that fail to recognize the importance of other converging technologies risk being left behind. Two other technologies advanced sensors and biotechnology are less visible, though no less important, and have been quietly advancing.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .
What’s more, Replit is at the forefront of agentic coding —enabling AI-powered agents to assist with end-to-end development tasks like code generation, debugging, refactoring, and context-aware recommendations. What is Replit? At its core, Replit is about collaborative coding, rapid prototyping, and increasingly, agentic coding.
AI chips are revolutionizing the way we approach complex computations across various domains. They are not just the products of technological advancement; they also open doors to unprecedented opportunities in fields such as machine learning and natural language processing. What is an AI chip? Why are AI chips important?
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on July 28, 2025 in Data Science Image by Author | Canva # Introduction I understand that with the pace at which data science is growing, it’s getting harder for data scientists to keep up with all the new technologies, demands, and trends. billion in 2024 to USD 269.82
SEE ALSO: Teens are talking to AI companions, whether it's safe or not That's because media reports , lawsuits , and preliminary research continue to highlight examples of emotional dependence and manipulation, and exposure to sexual and violent content, including discussions of how to kill one's self or someone else.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.
Nvidia released a software update on Saturday to address critical vulnerabilities in its Triton server, identified by cybersecurity firm Wiz , which could enable AI model takeover, data theft, and response manipulation. A 2021 press release indicated that over 25,000 companies employ Nvidia’s AI stack.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
He bridges the gap between emerging AItechnologies and practical implementation for working professionals. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering.
Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs) such as OpenAI-o1 and DeepSeek-R1, have demonstrated remarkable capabilities in complex domains such as logical reasoning and experimental coding.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve! Save your seat today and be part of the tech conversation that's shaping the future.
based science and technology journalist. He covers artificial intelligence (AI), theoretical physics, and cutting-edge technology stories. The scientists used a method that relies on a quantum photonic circuit and a bespoke machine learning algorithm. TOPICS quantum computers Tristan Greene Tristan is a U.S-based
From coordinating disaster relief efforts to predicting crop yields with pinpoint accuracy, AI agents are reshaping the way industries solve problems and seize opportunities. The possibilities are vast, but the question remains: how far can we push the boundaries of what AI agents can achieve?
AI browsers are setting a new standard in how we explore the web, bringing the power of artificial intelligence directly to our browsing experience. What is an AI browser? An AI browser is a web browsing application that uses artificial intelligence technologies to enhance user interaction and personalization.
Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. Save your seat today!
This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.
In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. As EBSCOlearnings content library continues to grow, so does the need for a more efficient solution. Sonnet in Amazon Bedrock.
AI is rapidly taking its place in the market, penetrating new application areas in ways we couldnt imagine, including AI cybersecurity solutions. The reason is clear: AIs potential for improving efficiency is almost limitless. The use of AI is evident on both sides of the barricades: by attackers and defenders alike.
Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
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