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Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these models to produce exactly what's desired can still be challenging. Fine-grained control over these models' outputs is important to meet user expectations and to mitigate potential misuses, ensuring the models' reliability and safety.
Palo Alto, April 8, 2025 Vectara, a platform for enterprise Retrieval-Augmented Generation (RAG) and AI-powered agents and assistants, today announced the launch of Open RAG Eval, its open-source RAG evaluation framework.
Ever wonder what happens to your data after you chat with an AI like ChatGPT ? Do you wonder who else can see this data? Where does it go? Can it be traced back to you? These concerns arent just hypothetical. In the digital age, data is powe r. But with great power comes great responsibility, especially when it comes to protecting peoples personal information.
It's no secret that Elon Musk's wealth is staggering. At the time of writing, he's worth over $325 billion. To give that number a sense of scale, that's $62 billion more than the total annual salary of every worker in Michigan combined all 4.3 million of them. So why is he powering his data centers with rinky-dink portable generators? New aerial surveillance footage obtained by the Southern Environmental Law Center has found that Musk's artificial intelligence company, xAI, is using 35 methane
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
The growing importance of Large Language Models (LLMs) in AI advancements cannot be overstated – be it in healthcare, finance, education, or customer service. As LLMs continue to evolve, it is important to understand how to effectively work with them. This guide explores the various approaches to working with LLMs, from prompt engineering and fine-tuning […] The post Decoding LLMs: When to Use Prompting, Fine-tuning, AI Agents, and RAG Systems appeared first on Analytics Vidhya.
Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However, LLMs often fail to follow even simple and clear instructions. To improve instruction-following behavior and prevent undesirable outputs, a deeper understanding of how LLMs internal states relate to these outcomes is required.
Donostia, Spain April 8, 2025 Multiverse Computing today released two new AI models compressed by CompactifAI, Multiverse’s AI compressor: 80 percent compressed versions of Llama 3.1-8B and Llama 3.3-70B.
Donostia, Spain April 8, 2025 Multiverse Computing today released two new AI models compressed by CompactifAI, Multiverse’s AI compressor: 80 percent compressed versions of Llama 3.1-8B and Llama 3.3-70B.
Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.
Wells Fargos generative AI assistant, Fargo, surpassed 245 million interactions in 2024 using a model-agnostic architecture powered by Googles Flash 2.0. The banks privacy-forward orchestration approach offers a blueprint for regulated industries looking to scale AI safely and efficiently.
Graceful External Termination: Handling Pod Deletions in Kubernetes Data Ingestion and Streaming Jobs When running big-data pipelines in Kubernetes, especially streaming jobs, its easy to overlook how these jobs deal with termination. What happens when a user or system administrator needs to kill a job mid-execution? If not handled correctly, this can lead to locks, data issues, and a negative user experience.
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
NEW YORK and LONDON April 10, 2025 Salute, a lifecycle data center services company, will acquire Keysource Group, a European provider of data center and critical environment solutions, and Advanced Data Center Consulting Group (ADCC), a provider of AI-focused training and consulting. Salute said the acquisitions deepen their regional and technical capabilities.
Ever wondered how Claude 3.7 thinks when generating a response? Unlike traditional programs, Claude 3.7’s cognitive abilities rely on patterns learned from vast datasets. Every prediction is the result of billions of computations, yet its reasoning remains a complex puzzle. Does it truly plan, or is it just predicting the most probable next word?
Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apples products and services, including Siri and search, use natural language understanding and generation to enable a fluent and seamless interface experience for users.
Black box AI models have revolutionized how decisions are made across multiple industries, yet few fully understand the intricacies behind these systems. These models often process vast amounts of data, producing outputs that can significantly impact operational processes, organizational strategies, and even individual lives. However, the opacity of how these decisions are reached raises concerns about bias, accountability, and transparency.
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?
Prompt caching, now generally available on Amazon Bedrock with Anthropics Claude 3.5 Haiku and Claude 3.7 Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls. With prompt caching, you can mark the specific contiguous portions of your prompts to be cached (known as a prompt prefix ).
Is it just me, or are the code generation AIs were all using fundamentally broken? For months, Ive watched developers praise AI coding tools while silently cleaning up their messes, afraid to admit how much babysitting they actually need. I realized that AI IDEs dont actually understand codebases theyre just sophisticated autocomplete tools with good marketing.
As Large Language Models (LLMs) continue to advance quickly, one of their most sight after applications is in RAG systems. Retrieval-Augmented Generation, or RAG connects these models to external information sources, thereby increasing their usability. This helps ground their answers to facts, making them more reliable. In this article, we will compare the performance and […] The post LLaMA 4 vs.
Nearest neighbour search over dense vector collections has important applications in information retrieval, retrieval augmented generation (RAG), and content ranking. Performing efficient search over large vector collections is a well studied problem with many existing approaches and open source implementations. However, most state-of-the-art systems are generally targeted towards scenarios using large servers with an abundance of memory, static vector collections that are not updatable, and nea
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Upgrading to AMD’s AM5 platform? Choosing the right DDR5 memory kit matters, especially with G.Skill’s new CL26 memory and the promise of DDR5-8000 performance. A recent test dives into whether the speed boost is worth the investment, comparing it against the more budget-friendly DDR5-6000 options for Ryzen AM5 builds. Since AM5’s debut, the standard for testing has been G.Skill’s Trident Z5 Neo RGB DDR5-6000 CL30, a 32GB kit costing around $110.
At Databricks, we believe the future of business intelligence is powered by AI. Thats why were thrilled to announce the Databricks Smart Business Insights Challenge.
Large Language Models (LLMs) have become integral to modern AI applications, but evaluating their capabilities remains a challenge. Traditional benchmarks have long been the standard for measuring LLM performance, but with the rapid evolution of AI, many are questioning their continued relevance. Are these benchmarks still a reliable indicator of the real-world performance of LLMs?
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.
Nowadays, everyone across AI and related communities talks about generative AI models, particularly the large language models (LLMs) behind widespread applications like ChatGPT, as if they have completely taken over the field of machine learning.
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Meta has officially announced its most advanced suite of artificial intelligence models to date: the Llama 4 family. This new generation includes Llama 4 Scout and Llama 4 Maverick, the first of Meta’s open-weight models to offer native multimodality and unprecedented context length support. These models also mark Meta’s initial foray into using a mixture-of-experts (MoE) architecture.
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.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual information from your companys data sources.
You get a tariff. And you get a tariff. And you. And you. Everybody gets a tariff. But not the same for every type of consumer good. For the Washington Post, Luis Melgar, Rachel Lerman, and Szu Yu Chen show the percentages of imported value by category. That means products that the United States commonly gets from Vietnam, such as clothing and shoes, would be subject to a new 46 percent tax, whereas goods from Colombia, like flowers, would see a lower new 10 percent levy.
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Microsoft is giving Copilot a major boost to keep pace in the fast-moving AI chatbot arena. The update introduces features already seen in competitors like Gemini and ChatGPT, focusing on enhanced memory, task automation, visual understanding, and research capabilities. Copilot ‘s improved memory allows it to personalize responses based on user data.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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