Analytics Vidhya
OCTOBER 14, 2024
Introduction Today, we will discuss the first pattern in the series of agentic AI design patterns: The Reflection Pattern. The Reflection Pattern is a powerful approach in AI, particularly for large language models (LLMs), where an iterative process of generation and self-assessment improves the output quality. We can picture it as a course developer who […] The post What is Agentic AI Reflection Pattern?
AWS Machine Learning Blog
OCTOBER 14, 2024
With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer questions relevant to a particular business or use case.
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Analytics Vidhya
OCTOBER 14, 2024
Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data. They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidh
AI News
OCTOBER 14, 2024
When we talk about real-time data, what we refer to is information that becomes available as soon as it’s created and acquired. Rather than being stored, data is forwarded directly to an application as soon as it’s collected and is made immediately available – without any lag – to support live, in-the-moment decision-making. Real-time data is at work in virtually every aspect of our lives already, powering everything from bank transactions to GPS to emergency maps created when a disa
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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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Analytics Vidhya
OCTOBER 14, 2024
Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer. This limitation poses challenges because AI model predictions are resource-intensive operations that […] The post LitServe: The Future of Scalable AI Model Serving appeared firs
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
IBM Journey to AI blog
OCTOBER 14, 2024
Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. That’s why businesses that have the tools to process unstructured data are catching investors’ attention. Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data mana
Unite.AI
OCTOBER 14, 2024
Skip Levens is a product leader and AI strategist at Quantum, a leader in data management solutions for AI and unstructured data. He is currently responsible for driving engagement, awareness, and growth for Quantum's end-to-end solutions. Throughout his career – which has included stops at organizations like Apple, Backblaze, Symply, and Active Storage – he has successfully led marketing and business development, evangelism, launched new products, built relationships with key stakeholders, and
IBM Journey to AI blog
OCTOBER 14, 2024
In the rush to embrace generative AI, companies are stumbling upon an unexpected hurdle: soaring computing costs that threaten to derail innovation and business transformation efforts. Major AI players are feeling the economic pressure, too. OpenAI is reportedly experiencing explosive revenue growth, with monthly earnings hitting USD 300 million in August 2024.
Unite.AI
OCTOBER 14, 2024
We live in a world where personalized consumer experiences are increasingly the norm. To think, a couple of decades ago, the only options at the coffee shop were cream and sugar or black. Nowadays, you assume you’ll be able to order your half-caff, no-foam, almond milk cappuccino with two pumps of sugar-free vanilla—anything less would seem outdated.
Speaker: Jesse Hunter and Brynn Chadwick
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.
databricks
OCTOBER 14, 2024
Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.
Unite.AI
OCTOBER 14, 2024
OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas's 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots ( ‘droids' ) – which are habitually dismissed by protagonists as mere ‘machines'.
Marktechpost
OCTOBER 14, 2024
Generative AI models, driven by Large Language Models (LLMs) or diffusion techniques, are revolutionizing creative domains like art and entertainment. These models can generate diverse content, including texts, images, videos, and audio. However, refining the quality of outputs requires additional inference methods during deployment, such as Classifier-Free Guidance (CFG).
Unite.AI
OCTOBER 14, 2024
Artificial Intelligence (AI) is transforming the way we create visuals. Text-to-image models make it incredibly easy to generate high-quality images from simple text descriptions. Industries like advertising, entertainment, art, and design already employ these models to explore new creative possibilities. As technology continues to evolve, the opportunities for content creation become even more vast, making the process faster and more imaginative.
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Extreme Tech
OCTOBER 14, 2024
It was released as a mandatory security patch, so it's theoretically leaving people at risk.
Artificial Lawyer
OCTOBER 14, 2024
Bloomberg Law is best known for its legal research and market information offerings, but it’s now embracing genAI to expand what its recently developed contract.
Marktechpost
OCTOBER 14, 2024
The challenge lies in automating computer tasks by replicating human-like interaction, which involves understanding varied user interfaces, adapting to new applications, and managing complex sequences of actions similar to how a human would perform them. Current solutions struggle with handling complex and varied interfaces, acquiring and updating domain-specific knowledge, and planning multi-step tasks that require precise sequences of actions.
Artificial Lawyer
OCTOBER 14, 2024
It’s conference season and Artificial Lawyer and its founder, er…me…Richard Tromans, are on tour this October and November. Here are some of the upcoming speaking.
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
Marktechpost
OCTOBER 14, 2024
The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally expensive and memory-intensive. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.
Extreme Tech
OCTOBER 14, 2024
The company is expected to gain even more market share in 2025 thanks to blockbuster sales of its Blackwell architecture.
Marktechpost
OCTOBER 14, 2024
Current multimodal retrieval-augmented generation (RAG) benchmarks primarily focus on textual knowledge retrieval for question answering, which presents significant limitations. In many scenarios, retrieving visual information is more beneficial or easier than accessing textual data. Existing benchmarks fail to adequately account for these situations, hindering the development of large vision-language models (LVLMs) that need to utilize diverse types of information effectively.
Extreme Tech
OCTOBER 14, 2024
Vast Space hopes Haven-2, which includes everything from laboratories to wood-paneled entertainment rooms, will succeed the ISS after it retires in 2030.
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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.
Marktechpost
OCTOBER 14, 2024
Current text-to-image generation models face significant challenges with computational efficiency and refining image details, particularly at higher resolutions. Most diffusion models perform the generation process in a single stage, requiring each denoising step to be conducted on high-resolution images. This results in high computational costs and inefficiencies, making it difficult to produce fine details without excessive resource use.
Extreme Tech
OCTOBER 14, 2024
NASA's Jim Free says Roscosmos has worked to patch the cracks and reduce air loss.
IBM Journey to AI blog
OCTOBER 14, 2024
OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.
PyImageSearch
OCTOBER 14, 2024
Home Table of Contents Photogrammetry Explained: From Multi-View Stereo to Structure from Motion Technique #1: Multi-View Stereo Technique #2: Structure from Motion Example: COLMAP Summary and Next Steps Next Steps Citation Information Photogrammetry Explained: From Multi-View Stereo to Structure from Motion In this blog post, you will learn about 3D Reconstruction.
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.
IBM Journey to AI blog
OCTOBER 14, 2024
OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.
Extreme Tech
OCTOBER 14, 2024
It's the first bit of information about Arrow Lake we've seen that's not from Intel.
Marktechpost
OCTOBER 14, 2024
Language models (LMs) are widely utilized across domains like mathematics, coding, and reasoning to handle complex tasks. These models rely on deep learning techniques to generate high-quality outputs, but their performance can vary significantly depending on the complexity of the input. While some queries are simple and require minimal computation, others are far more complex, requiring significant computational resources to achieve optimal results.
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