Analytics Vidhya
MARCH 30, 2024
Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training.
Eugene Yan
MARCH 30, 2024
Evals for classification, summarization, translation, copyright regurgitation, and toxicity.
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Analytics Vidhya
MARCH 30, 2024
Large Language Models (LLMs) are the driving force behind AI revolution, but the game just got a major plot twist. Databricks DBRX, a groundbreaking open-source LLM, is here to challenge the status quo. Outperforming established models and going toe-to-toe with industry leaders, DBRX boasts superior performance and efficiency. Deep dive into the world of LLMs […] The post Databricks DBRX: The Open-Source LLM Taking on the Giants appeared first on Analytics Vidhya.
Marktechpost
MARCH 30, 2024
Vision Language Models (VLMs) emerge as a result of a unique integration of Computer Vision (CV) and Natural Language Processing (NLP). This integration seeks to mimic human-like understanding by interpreting and generating content that marries images with words, giving rise to a complex challenge that has piqued the interest of researchers worldwide.
Speaker: Conrado Morlan
In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:
Great Learning
MARCH 30, 2024
With a background in Electronics and Communication Engineering, I’ve accumulated over 11 years of experience in the IT sector, specializing in IT-Operations and Infrastructure. Currently holding the position of Senior IT-Client Support Specialist in a renowned US-based Automobile industry, I’ve had the privilege of navigating the dynamic landscape of information technology.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Unite.AI
MARCH 30, 2024
The development of artificial olfactory sensors has been a long-standing challenge for researchers worldwide. Creating electronic noses (e-noses) that can effectively discern complex odorant mixtures, similar to the biological olfactory system, has proven difficult due to issues with miniaturization and recognition capabilities. However, a research team led by Prof.
Marktechpost
MARCH 30, 2024
Large Language Models (LLMs) are now a crucial component of innovation, with ChatGPT being one of the most popular ones developed by OpenAI. Its ability to generate text responses resembling human-like language has become essential for various applications such as chatbots, content creation, and customer service. However, to get the best results from ChatGPT, one must master the art of prompt engineering.
Bugra Akyildiz
MARCH 30, 2024
Articles We covered Mamba as an introduction in one of the previous newsletter: This article from Gradient expands a lot more about the advantages and technical details with comparison to Transformers: Limitations of Transformers(now it should be obvious to everyone as talked in the previous newsletter!): Quadratic Bottleneck: Transformers use an attention mechanism that allows every token to look at every other token in the sequence, leading to a quadratic increase in training time complexity f
Marktechpost
MARCH 30, 2024
Natural Language Processing (NLP) models are pivotal for various applications, from translation services to virtual assistants. They enhance the ability to comprehend and generate human-like responses. These models have become increasingly sophisticated and offer nuanced understanding and interaction capabilities as technology advances. A persisting challenge in NLP is the development of models that can understand and generate text in languages other than English, such as Japanese.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
Marktechpost
MARCH 30, 2024
In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. Below are the top ten Python libraries that stand out in AI development. TensorFlow TensorFlow is a powerful open-source library that facilitates numerical computation and accelerates the machine learning process.
Marktechpost
MARCH 30, 2024
In the rapidly evolving world of artificial intelligence (AI), entrepreneurs find themselves at the forefront of innovation and efficiency. The advent of generative pre-trained transformers (GPT) has introduced a plethora of tools designed to streamline the entrepreneurial journey. Among these advancements, seven GPT applications stand out, promising to significantly impact how entrepreneurs operate, analyze data, and communicate their ideas.
Marktechpost
MARCH 30, 2024
Coding courses have cemented their place as a cornerstone of Science Technology Engineering Mathematics (STEM) education. These courses, spanning a broad spectrum from the foundational syntax of programming languages to the intricacies of algorithm development, are instrumental in arming students with the skills necessary for thriving in the digital economy.
Marktechpost
MARCH 30, 2024
Integrating artificial intelligence (AI) into applications has become necessary for developers looking to stay ahead. However, making AI work seamlessly with web and mobile platforms takes work. Issues such as compatibility across different devices, the need for efficient computation without draining resources, and the complexities involved in implementing AI models make the process daunting.
Speaker: Pulkit Agrawal
Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.
Marktechpost
MARCH 30, 2024
In our rapidly evolving digital landscape, the quest to develop autonomous virtual agents capable of navigating the vast expanse of software tools has captured the imagination of researchers and tech enthusiasts alike. However, this pursuit has been hindered by formidable obstacles—the scarcity of comprehensive infrastructure for building and evaluating agents in real-world environments and the pressing need to assess their fundamental abilities holistically.
Marktechpost
MARCH 30, 2024
In an era where robotics and artificial intelligence (AI) seamlessly blend to enhance technological capabilities, a groundbreaking development has emerged, promising to redefine how robots perceive and interact with their surroundings. Meet the Pollen-Vision library that offers a unified interface for Zero-Shot vision models tailored explicitly for robotics.
Marktechpost
MARCH 30, 2024
In the evolving field of Retrieval-Augmented Generation (RAG), the quest for refining question-answering (QA) capabilities remain at the forefront of research. Integrating external knowledge bases with large language models (LLMs) has unlocked new avenues for enhancing the accuracy of responses in various tasks. However, a challenge that persists is the model’s ability to efficiently navigate the spectrum of query complexities, ranging from straightforward questions to intricate multi-step
Marktechpost
MARCH 30, 2024
In the rapidly evolving world of technology, where the demand for sophisticated computer vision (CV) applications is soaring, a new startup named Dragoneye is making waves. Aimed at developers looking to integrate cutting-edge CV capabilities into their applications without the need for extensive machine learning (ML) expertise or training data, Dragoneye promises to transform the landscape of computer vision development.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.
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