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Most of us today use ChatGPT for creating content, doing research, and a number of other daily tasks. Did you know you can now get more contextual responses and edit specific parts of the content on ChatGPT? Yes, this is now possible with the Canvas integration on OpenAI’s GPT-4o model. GPT-4o with Canvas lets you […] The post 3 Ways to Use GPT 4o Like a Pro with Canvas appeared first on Analytics Vidhya.
In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Its ability to automate and enhance creative tasks makes it a valuable skill for professionals across industries. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.
Elon Musk’s xAI recently released the Grok API for developers, offering $25 of free monthly credits. Currently, the API is available for the Grok-beta, enabling developers to explore and integrate advanced AI capabilities into their applications. The full rollout for the Grok-2 and Grok-2 mini models is anticipated soon, promising enhancements in performance and efficiency […] The post How to Create a Social Media Writer Using xAI’s Grok LLM?
While we may all enjoy what is taking place in the contemporary world right now, whether that be the books being written or some chart-topping Netflix productions; the players and teams that dominate the multi-billion sports industry, distinguished actors who have made Hollywood a household name, or the current technological cauldron that features Robotics, Artificial Intelligence, and Machine Learning, our fascination with history still does not seem to be going away anytime soon.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. Top highlight This member-only story is on us. Upgrade to access all of Medium. In the dynamic realm of artificial intelligence, the ability to access and synthesize real-time information is paramount. Traditional large language models (LLMs) like ChatGPT excel in generating human-like text based on extensive training data.
The rapid advancements in Generative AI have underscored the importance of text embeddings. These embeddings transform textual data into dense vector representations, enabling models to efficiently process text, images, audio, and other data types. Various embedding libraries have emerged as front-runners in this domain, each with unique strengths and limitations.
The rapid advancements in Generative AI have underscored the importance of text embeddings. These embeddings transform textual data into dense vector representations, enabling models to efficiently process text, images, audio, and other data types. Various embedding libraries have emerged as front-runners in this domain, each with unique strengths and limitations.
Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. From autonomous vehicles to medical imaging, its applications are vast and growing. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.
Last Updated on November 17, 2024 by Editorial Team Author(s): Krishan Walia Originally published on Towards AI. Build your own Chat-With-Document Application using Python in the most guided and intuitive way. This member-only story is on us. Upgrade to access all of Medium. Not a member?Access the full article for free here. Imagine that you have to read and understand a large document about a completely bizarre topic, a topic that’s completely out of your domain of knowledge, but due to some c
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.
Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds.
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such widespread adoption, feeling left out of this revolution is not uncommon. One way an individual can stay updated with the latest trends is by reading books on various facets of AI.
The European Union’s risk-based rulebook for artificial intelligence — aka the EU AI Act — has been years in the making. But expect to hear a lot more about the regulation in the coming months (and years) as key compliance deadlines kick in.
Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Generative modeling in computer vision has advanced significantly, with Diffusion Models leading the way and powering tools like DALL-E and Stable Diffusion. These models have transformed machine capabilities, offering new possibilities in art, design, and content creation.
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
Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. The modification of dynamic spatial information through spatial transformer networks (STNs) allows models to handle transformations such as scaling and rotation for subsequent tasks. They enhance recognition accuracy by enabling models to focus on essential visual regions with minimal dependence on pooling layers.
Last Updated on November 16, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Elon Musk Sues OpenAI This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!
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
Advances in AI could complicate international rules meant to prevent the spread of bioweapons, even as researchers and arms control experts debate how useful AI might ultimately be to would-be hostile actors.
Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. This blog explores how Keswani’s method addresses common challenges in min-max scenarios, with applications in areas of modern Machine Learning such as GANs, adversarial trainin
Model efficiency is important in the age of large language and vision models, but they face significant efficiency challenges in real-world deployments. Critical metrics such as training compute requirements, inference latency, and memory footprint impact deployment costs and system responsiveness. These constraints often limit the practical implementation of high-quality models in production environments.
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.
This year, Coca-Cola’s Christmas ads are AI-generated and deeply uncanny, sparking online backlash from those who claimed the magic had been lost. Coca-Cola has released a series of AI-generated Christmas ads that sparked mockery and disgust from social media users.
Mixture of Experts (MoE) models represents a significant breakthrough in machine learning, offering an efficient approach to handling large-scale models. Unlike dense models, where all parameters are active during inference, MoE models activate only a fraction of their parameters. This approach balances computational efficiency with scalability, making MoE models highly attractive for various use cases.
Large language models (LLMs) have revolutionized natural language processing by offering sophisticated abilities for a range of applications. However, these models face significant challenges. First, deploying these massive models on end devices, such as smartphones or personal computers, is extremely resource-intensive, making integration impractical for everyday applications.
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.
A significant challenge in the field of artificial intelligence is to facilitate large language models (LLMs) to generate 3D meshes from text descriptions directly. Conventional techniques restrict LLMs from operating as text-based components and remove multimodal workflows that combine textual and 3D content creation. Most of the existing frameworks require additional architectures or massive computational resources, making them difficult to use in real-time, interactive environments like video
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