Sat.May 11, 2024

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What We've Learned From A Year of Building with LLMs

Eugene Yan

From the tactical nuts & bolts to the operational day-to-day to the long-term business strategy.

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NVIDIA AI Releases the TensorRT Model Optimizer: A Library to Quantize and Compress Deep Learning Models for Optimized Inference on GPUs

Marktechpost

Generative AI, despite its impressive capabilities, needs to improve with slow inference speed in its real-world applications. The inference speed is how long it takes for the model to produce an output after giving a prompt or input. Generative AI models, unlike their analytical counterparts, require complex calculations to generate creative text, images, or other outputs.

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How to Use Stable Diffusion Effectively

Machine Learning Mastery

From the prompt to the picture, Stable Diffusion is a pipeline with many components and parameters. All these components working together creates the output. If a component behave differently, the output will change. Therefore, a bad setting can easily ruin your picture. In this post, you will see: How the different components of the Stable […] The post How to Use Stable Diffusion Effectively appeared first on MachineLearningMastery.com.

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ChuXin: A Fully Open-Sourced Language Model with a Size of 1.6 Billion Parameters

Marktechpost

The capacity of large language models (LLMs) to produce adequate text in various application domains has caused a revolution in natural language creation. These models are essentially two types: 1) Most model weights and data sources are open source. 2) All model-related information is publicly available, including training data, data sampling ratios, training logs, intermediate checkpoints, and assessment methods (Tiny-Llama, OLMo, and StableLM 1.6B).

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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How to Change Language in Gemini AI

Ofemwire

Are you tired of using English in Gemini AI? Do you want to chat with Gemini AI in your native language? We’ve got you. Let’s explore how to change language in Gemini AI, what it means, and more. What It Means to Change Language in Gemini AI There are two ways you use a language in Gemini AI: The platform’s language : This is the language in which all the texts in the Gemini AI web app are, excluding the texts related to conversations.

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OpenArt AI Review: The Ultimate Free AI Art Generator?

Unite.AI

Artificial intelligence is revolutionizing various fields, including the world of art, and with that comes many AI art generators to choose from. But which one is best? I recently came across OpenArt AI , an AI art generator developed in San Fransisco by ex-Googlers and fueled by OpenAI ‘s machine learning algorithms. But it's not just an art generator – it also comes with many other useful AI tools like an image upscaler , stock image transformer, and a tool that turns sketches into

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Innovating Game Design with GPT: A Comprehensive Scoping Review

Marktechpost

The advent of Generative Pre-trained Transformers (GPT) has revolutionized the gaming industry, enhancing game development and gameplay experiences. Let’s study a comprehensive review that synthesizes findings from 55 research articles published between 2020 and 2023, along with research from other research papers, detailing the applications, challenges, and future potentials of GPT in gaming.

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Top AI-Powered SEO Tools in 2024

Marktechpost

In today’s competitive digital market, ranking high in search engine results is critical for increasing organic traffic and establishing an online presence. However, developing a successful SEO strategy may be a hard and time-consuming effort. This is where AI SEO tools come in. They use artificial intelligence to automate your SEO workflow and optimize your content for search engine success.

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Top 50 AI Writing Tools To Try in 2024

Marktechpost

Grammarly Grammarly is a great tool for enhancing writing. It reviews grammar, spelling, punctuation, and style to ensure clear and professional content. Jasper Jasper AI is one of the most popular AI writing tools that makes it easy to create content for websites, blogs, social media, etc. ChatGPT ChatGPT is a robust language generation model helpful for a range of writing tasks.

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Optimizing The Modern Developer Experience with Coder

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.

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UC Berkeley Researchers Introduce Learnable Latent Codes as Bridges (LCB): A Novel AI Approach that Combines the Abstract Reasoning Capabilities of Large Language Models with Low-Level Action Policies

Marktechpost

The robotics field has historically vacillated between two primary architectural paradigms: modular hierarchical policies and end-to-end policies. Modular hierarchies employ rigid layers such as symbolic planning, trajectory generation, and tracking, while end-to-end policies utilize high-capacity neural networks to map sensory input directly to actions.

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Tsinghua University Researchers Propose ADELIE: Enhancing Information Extraction with Aligned Large Language Models Around Human-Centric Tasks

Marktechpost

Information extraction (IE) is a pivotal area of artificial intelligence that transforms unstructured text into structured, actionable data. Despite their expansive capacities, traditional large language models (LLMs) often fail to comprehend and execute the nuanced directives required for precise IE. These challenges primarily manifest in closed IE tasks, where a model must adhere to stringent, pre-defined schemas.

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Optimizing Graph Neural Network Training with DiskGNN: A Leap Toward Efficient Large-Scale Learning

Marktechpost

Graph Neural Networks (GNNs) are crucial in processing data from domains such as e-commerce and social networks because they manage complex structures. Traditionally, GNNs operate on data that fits within a system’s main memory. However, with the growing scale of graph data, many networks now require methods to handle datasets that exceed memory limits, introducing the need for out-of-core solutions where data resides on disk.

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MS MARCO Web Search: A Large-Scale Information-Rich Web Dataset Featuring Millions of Real Clicked Query-Document Labels

Marktechpost

When it comes to web searches, the challenge is not just about finding information but finding the most relevant information quickly. Web users and researchers need ways to sift through vast amounts of data efficiently. The need for more effective search technologies is constantly growing as online information expands. Several solutions are currently available to improve search results.

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15 Modern Use Cases for Enterprise Business Intelligence

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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Aloe: A Family of Fine-tuned Open Healthcare LLMs that Achieves State-of-the-Art Results through Model Merging and Prompting Strategies

Marktechpost

In medical technology, developing and utilizing large language models (LLMs) are increasingly pivotal. These advanced models can digest and interpret vast quantities of medical texts, offering insights that traditionally require extensive human expertise. The evolution of these technologies holds the potential to lower healthcare costs significantly and expand access to medical knowledge across various demographics.