Welcome to our channel! 🎉 In today’s video, we’re thrilled to introduce you to GoogleGPT, a fan-made project that harnesses the power of GPT-4! 🤖✨ This free and innovative tool combines the best of AI technology with the familiar Google interface, bringing you an unparalleled experience in artificial intelligence. 🧠 *What is GoogleGPT?* GoogleGPT is […]
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As Large Language Models (LLMs) become increasingly prevalent in long-context applications like interactive chatbots and document analysis, serving these models with low latency and high throughput has emerged as a significant challenge. Conventional wisdom suggests that techniques like speculative decoding (SD), while effective for reducing latency, are limited in improving throughput, especially for larger batch […]
The Mixture of Experts (MoE) models enhance performance and computational efficiency by selectively activating subsets of model parameters. While traditional MoE models utilize homogeneous experts with identical capacities, this approach limits specialization and parameter utilization, especially when handling varied input complexities. Recent studies highlight that homogeneous experts tend to converge to similar representations, reducing their […]
In this video I show you How To Install ChatGPT Plugins! If this tutorial helped you out please like a video & comment down below if this worked for you! Thank you so much!
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IOWA ( KIWA) – The digital avatar named “Amira” is an online, interactive reading tutor that can be used in all Iowa elementary schools. According to KIWA Radio, the Iowa Department of Education used …
DARK TRANQUILLITY’s MIKAEL STANNE On Artificial Intelligence: It’s ‘Exciting’, ‘Fascinating’ And ‘Scary’ BLABBERMOUTH.NET
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Former OpenAI researchers warn of ‘catastrophic harm’ if AI goes unregulated. Discover why they’re urging California to pass a new AI safety bill with a ‘kill switch’ and why OpenAI is pushing back. Should we be worried about AI’s future? Watch to find out! 💡 #AI #Technology #OpenAI #AIsafety #TechNews”
Retrieval Augmented Generation (RAG) represents a cutting-edge advancement in Artificial Intelligence, particularly in NLP and Information Retrieval (IR). This technique is designed to enhance the capabilities of Large Language Models (LLMs) by seamlessly integrating contextually relevant, timely, and domain-specific information into their responses. This integration allows LLMs to perform more accurately and effectively in knowledge-intensive […]
Language Foundation Models (LFMs) and Large Language Models (LLMs) have demonstrated their ability to handle multiple tasks efficiently with a single fixed model. This achievement has motivated the development of Image Foundation Models (IFMs) in computer vision, which aim to encode general information from images into embedding vectors. However, using these techniques poses a challenge […]
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Google’s Pixel 9 Pro XL beating the iPhone 15 Pro in most instances wasn’t a surprise, but the new Android phone has one big issue.
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Retrieval-Augmented Generation (RAG) has faced significant challenges in development, including a lack of comprehensive comparisons between algorithms and transparency issues in existing tools. Popular frameworks like LlamaIndex and LangChain have been criticized for excessive encapsulation, while lighter alternatives such as FastRAG and RALLE offer more transparency but lack reproduction of published algorithms. AutoRAG, LocalRAG, and […]
LinkedIn has recently unveiled its groundbreaking innovation, the Liger (LinkedIn GPU Efficient Runtime) Kernel, a collection of highly efficient Triton kernels designed specifically for large language model (LLM) training. This new technology represents an advancement in machine learning, particularly in training large-scale models that require substantial computational resources. The Liger Kernel is poised to become […]
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Is AI actually creating more work? Paul LaGrone talks to Matt Rosen the CEO of Allata this week about the future of Artificial Intelligence in the American workplace.
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Repeatedly switching back and forth between various AI tools and applications to perform simple tasks like grammar checks or content edits can be daunting. This constant back-and-forth often wastes time and interrupts workflow, which hinders the efficiency of the process. Users usually find themselves juggling multiple tabs and copying and pasting text, complicating straightforward tasks. […]
Large Language Models (LLMs) like GPT-4, Qwen2, and LLaMA have revolutionized artificial intelligence, particularly in natural language processing. These Transformer-based models, trained on vast datasets, have shown remarkable capabilities in understanding and generating human language, impacting healthcare, finance, and education sectors. However, LLMs need more domain-specific knowledge, real-time information, and proprietary data outside their training […]
