Analytics Vidhya

JULY 20, 2024

Introduction Generative AI is a newly developed field that is booming exponentially with job opportunities. Companies are looking for candidates with both the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI […] The post Generative AI Interview Questions appeared first on Analytics Vidhya.

Generative AI 284

Generative AI AI AI AI Modeling 284

Aiiot Talk

JULY 20, 2024

Artificial intelligence (AI) has come a long way since its inception. It has reached the point where its conversational skills and generative capabilities are believable — but can you use it to craft authentic brand communication? What Is Emotional Intelligence in Marketing? Emotional intelligence is the ability to manage your feelings and understand others’ emotions.

Natural Language Processing 130

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 130

Analytics Vidhya

JULY 20, 2024

Introduction Earlier this year, Klarna announced that they replaced 700 customer support professionals with artificial intelligence (AI) chatbots. This announcement raised a lot of questions, like, if AI could manage the works of so many customer service agents, was the industry heading towards an inevitable collapse? Now that some time has passed, we need to […] The post The Psychology of Human-AI Collaboration in Customer Service Teams appeared first on Analytics Vidhya.

AI Chatbots 276

AI Chatbots Artificial Intelligence Artificial Intelligence Chatbots 276

Aiiot Talk

JULY 20, 2024

Industries like aviation engineering, pharmaceutics and automotive manufacturing are beginning to rely on artificial intelligence for metrological instrument calibration, valuing it for its unparalleled accuracy and efficiency. How will this technology reshape conventional practices? AI’s Role in Metrological Instrument Calibration It shouldn’t be surprising that AI has applications in metrology — the science of measurement — since its versatility and market value are unrivaled.

Neural Network 130

Neural Network Artificial Intelligence Artificial Intelligence Automation 130

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

Marktechpost

JULY 20, 2024

DeepSeek has recently released its latest open-source model on Hugging Facel, DeepSeek-V2-Chat-0628. This release marks a significant advancement in AI-driven text generation and chatbot technology capabilities, positioning DeepSeek at the forefront of the industry. DeepSeek-V2-Chat-0628 is an enhanced iteration of the previous DeepSeek-V2-Chat model.

Artificial Intelligence 138

Artificial Intelligence Artificial Intelligence Conversational AI Chatbots 138

Marktechpost

JULY 20, 2024

Large language models (LLMs) demonstrate proficiency in information retrieval and creative writing, with notable improvements in mathematics and coding. ZebraLogic , a benchmark consisting of Logic Grid Puzzles, assesses LLMs’ logical reasoning capabilities. Each puzzle presents N houses with M features, requiring unique value assignments based on given clues.

Large Language Models 136

Large Language Models LLM Categorization AI 136

How to Learn Machine Learning

JULY 20, 2024

TLDR: The following article is a comprehensive guide of AI powered OCR. Do you remember the first time you saw magic happen on your mobile screen when an image containing text turned into editable text? That’s Optical Character Recognition – OCR at work. OCR has been around for years, but its superb capabilities have improved recently, thanks to machine learning & artificial intelligence.

Machine Learning 52

Machine Learning Artificial Intelligence Artificial Intelligence Algorithm 52

Marktechpost

JULY 20, 2024

Automating mathematical reasoning has long been a goal in artificial intelligence, with formal frameworks like Lean 4, Isabelle, and Coq playing a significant role. These frameworks enable users to write machine-verifiable proofs of mathematical theorems, providing a structured environment for proving complex problems. Developing neural theorem-provers, which aim to automate this process, requires rigorous benchmarks to evaluate their effectiveness and drive further research.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence Automation AI 110

BAIR

JULY 20, 2024

These are comments in HTML. The above header text is needed to format the title, authors, etc. The "example_post" is an example representative image (not GIF) that we use for each post for tweeting (see below as well) and for the emails to subscribers. Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly.

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Natural Language Processing LLM NLP AI Research 180

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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?

Business Intelligence

Marktechpost

JULY 20, 2024

Large language models (LLMs) have showcased remarkable capabilities in generating content and solving complex problems across various domains. However, a notable challenge persists in their ability to perform multi-step deductive reasoning. This type of reasoning requires a coherent and logical thought process over extended interactions, which current LLMs need help with due to their training methodologies.

Large Language Models 109

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 109

Bugra Akyildiz

JULY 20, 2024

Article This paper presents Google's search ads click-through rate (CTR) prediction system, offering insights into the challenges and solutions for large-scale industrial recommender systems. The CTR prediction model described has billions of weights, trains on over 100 billion examples, and performs inference at more than 100,000 requests per second.

ML Engineer 52

ML Engineer ML Neural Network Algorithm 52

Marktechpost

JULY 20, 2024

Conversational AI systems like ChatGPT have gained considerable attention among the various AI advancements. These systems utilize advanced machine learning algorithms and natural language processing to assist users in numerous tasks, such as drafting emails, conducting research, and providing detailed information. The proliferation of such AI tools significantly transforms how office tasks are executed, contributing to a more efficient and productive work environment.

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ChatGPT Natural Language Processing AI Tools AI 109

Marktechpost

JULY 20, 2024

Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x to 2.5x. The Together Inference Engine, capable of processing over 400 tokens per second on Meta Llama 3 8B, integrates the latest innovations from Together AI, including FlashAttention-3, faster GEMM and MH

Generative AI 109

Generative AI Inference Engine AI AI 109

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Marktechpost

JULY 20, 2024

Traditional methods, relying solely on formal proof data, overlook valuable informal reasoning processes crucial to human mathematicians. The absence of natural language thought processes in formal proofs creates a significant gap between human reasoning and machine-driven proofs. Existing language models specialized for generating tactics in formal mathematics often fail to leverage the benefits of thought augmentation fully.

Automation 106

Automation AI AI Artificial Intelligence 106

Marktechpost

JULY 20, 2024

Using offline web apps and AI apps often comes with challenges. Users typically need to navigate multiple steps to get an app running. These steps can be confusing and time-consuming, especially for those who are not tech-savvy. Additionally, managing and customizing these apps often requires manual editing of files, making the process even more cumbersome.

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Automation AI AI Algorithm 103

Marktechpost

JULY 20, 2024

Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks with different types of noise, efficiently turning random noise into the target data distribution through repeated denoising steps. Using Transformer-based structures, it has been shown that adding more parameters usually improves performance.

NLP 102

NLP ML Computer Vision AI 102

Marktechpost

JULY 20, 2024

High-dimensional clinical data (HDCD) refers to datasets in healthcare where the number of variables (or features) is significantly larger than the number of patients (or observations). As the number of variables increases, the data space grows exponentially, requiring substantial computational resources that make it difficult to process and analyze.

AI 101

AI AI ML Artificial Intelligence 101

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Marktechpost

JULY 20, 2024

Instruction-tuned LLMs can handle various tasks using natural language instructions, but their performance is sensitive to how instructions are phrased. This issue is critical in healthcare, where clinicians, who may need to be more skilled, prompt engineers, need reliable outputs. The robustness of LLMs to variations in clinical task instructions is thus questioned.

Prompt Engineer 100

Prompt Engineer Prompt Engineering LLM ML 100

Marktechpost

JULY 20, 2024

As LLMs become increasingly integral to various AI tasks, their massive parameter sizes lead to high memory requirements and bandwidth consumption. While quantization-aware training (QAT) offers a potential solution by allowing models to operate with lower-bit representations, existing methods often require extensive training resources, making them impractical for large models.

Machine Learning 99

Machine Learning Large Language Models Natural Language Processing Artificial Intelligence 99

Marktechpost

JULY 20, 2024

Evaluating large language models (LLMs) has become increasingly challenging due to their complexity and versatility. Ensuring the reliability and quality of these models’ outputs is crucial for advancing AI technologies and applications. Researchers need help developing reliable evaluation methods to assess the accuracy and impartiality of LLMs’ outputs, given human evaluations’ subjective, inconsistent, and costly nature.

LLM 94

LLM Large Language Models AI AI 94

Marktechpost

JULY 20, 2024

Language models (LMs) face significant challenges related to privacy and copyright concerns due to their training on vast amounts of text data. The inadvertent inclusion of private and copyrighted content in training datasets has led to legal and ethical issues, including copyright lawsuits and compliance requirements with regulations like GDPR. Data owners increasingly demand the removal of their data from trained models, highlighting the need for effective machine unlearning techniques.

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Large Language Models Algorithm AI AI 105

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