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.

Natural Language Processing 336

Natural Language Processing BERT Large Language Models NLP 336

Eugene Yan

MARCH 30, 2024

Evals for classification, summarization, translation, copyright regurgitation, and toxicity.

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LLM 222

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.

LLM 306

LLM Large Language Models AI AI 306

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.

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Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Computer Vision 138

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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.

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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.

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Robotics Artificial Intelligence Artificial Intelligence Algorithm 316

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.

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Prompt Engineer Prompt Engineering ChatGPT Large Language Models 127

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

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Explainability Prompt Engineer Prompt Engineering Machine Learning 52

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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Large Language Models NLP Natural Language Processing ML 127

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

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.

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Deep Learning Machine Learning Python Computer Vision 123

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.

Automation 119

Automation Artificial Intelligence Artificial Intelligence Continuous Learning 119

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.

Prompt Engineer 117

Prompt Engineer Prompt Engineering AI AI 117

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.

Machine Learning 109

Machine Learning AI Modeling Artificial Intelligence Artificial Intelligence 109

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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.

Artificial Intelligence 104

Artificial Intelligence Artificial Intelligence ML AI 104

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.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence Robotics ML 111

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

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Large Language Models ML AI AI 141

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.

Computer Vision 104

Computer Vision Machine Learning AI AI 104

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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