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In artificial intelligence, evaluating the performance of language models presents a unique challenge. Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.
IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential communication gaps. Using generative AI for IT operations offers a transformative solution that helps automate incident detection, diagnosis, and remediation, enhancing operational efficiency.
China’s aim of winning the AI race strengthens after the release of Tencent’s new model Hunyuan-T1. From the early looks and benchmarks it looks better than DeepSeek R1 and OpenAI’s GPT 4.5. The model boasts an impressive generation speed of 60-80 tokens per second, surpassing GPT-4.5 and DeepSeek R1 in performance. It features ultra-large-scale reasoning […] The post China’s New Model Hunyuan-T1 Beats GPT 4.5 appeared first on Analytics Vidhya.
On Thursday, Anthropic introduced web search capabilities for its AI assistant Claude, enabling the assistant to access current information online. Previously, the latest AI model that powers Claude could only rely on data absorbed during its neural network training process, having a "knowledge cutoff" of October 2024. Claude's web search is currently available in feature preview for paid users in the United States, with plans to expand to free users and additional countries in the future.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Digital documents have long presented a dual challenge for both human readers and automated systems: preserving rich structural nuances while converting content into machine-processable formats. Traditional methods, whether relying on complex ensemble pipelines or massive foundational models, often struggle to balance accuracy with computational efficiency.
Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents.
Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents.
The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us. Much like how the size of a company or a team influences its capabilities, LLM model sizes create […] The post The Human Side of LLM Model Sizes appeared first on Analytics Vidhya.
Anthropic announced Thursday that it has added web search capability to its Claude chatbot. Its not a new feature to the AI worldbut the companys approach stands as one the most thoughtful to date. Much like Perplexity , Anthropics Claude works relevant information from the web into a conversational answer, and includes clickable source citations. Web search is available as a feature preview for U.S. users of the Claude 3.7 Sonnet model, with plans to expand to the free tier and to more countrie
Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.
The rapid advancement of artificial intelligence (AI) has led to the development of complex models capable of understanding and generating human-like text. Deploying these large language models (LLMs) in real-world applications presents significant challenges, particularly in optimizing performance and managing computational resources efficiently. Challenges in Scaling AI Reasoning Models As AI models grow in complexity, their deployment demands increase, especially during the inference phasethe
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Tired of manually sifting through hours of audio to find key insights? This guide teaches you to build an AI-powered chatbot that transforms recordings – meetings, podcasts, interviewsinto interactive conversations. Using AssemblyAI for precise transcription with speaker labels, Qdrant for fast data storage, and DeepSeek-R1 via SambaNova Cloud for smart responses, youll create a RAG […] The post Build an Audio RAG with AssemblyAI, Qdrant & DeepSeek-R1 appeared first on Analytics
Todays organizations face a critical challenge with the fragmentation of vital information across multiple environments. As businesses increasingly rely on diverse project management and IT service management (ITSM) tools such as ServiceNow, Atlassian Jira and Confluence, employees find themselves navigating a complex web of systems to access crucial data.
In this tutorial, we explore an innovative and practical application of IBM’s open-source ResNet-50 deep learning model, showcasing its capability to classify satellite imagery for disaster management rapidly. Leveraging pretrained convolutional neural networks (CNNs), this approach empowers users to swiftly analyze satellite images to identify and categorize disaster-affected areas, such as floods, wildfires, or earthquake damage.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Norwegian robotics startup 1X plans to start early tests of its humanoid robot, Neo Gamma, in a few hundred to a few thousand homes by the end of 2025, according to the companys CEO, Bernt Brnich.
Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in recent years as their application to a wide variety of problem domains have become increasingly capable, especially those related to text generation.
Its becoming more common for images to be made with AI tools. As the artificial intelligence generation gets more advanced, its getting trickier to tell the difference between AI-made and human-made images. However, there are still signs to look out for.
Large Language Models (LLMs) have come a long way since their early days of mimicking autocomplete on steroids. But generating fluent text isnt enough true intelligence demands reasoning. That means solving math problems, debugging code, drawing logical conclusions, and even reflecting on errors. Yet modern LLMs are trained to predict the next word, not to think.
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
The AI search startup laid out its bid for buying, and rebuilding, TikTok. The AI search startup Perplexity just proposed a bid for acquiring (and transforming) TikTok, per a company blog post published Friday.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Bad Wi-Fi is annoying, but fixing it doesnt have to be. The Google Nest WiFi Pro keeps things fast, stable, and frustration-free. The best savings are on the two-pack, now down to $214 with the Early Spring Sale.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
When AI systems try to bridge gaps in their training data, the results can be wildly off the mark: fabrications and non sequiturs researchers call hallucinations.
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