Analytics Vidhya

JULY 14, 2024

Introduction Data science’s abilities are so versatile that they open up various job alternatives. Quite independently of whether your focus is on business analysis, product management, or ethical issues, there is always a job that one would be eager to do and can do well. Thus, in the rapidly developing field of data science, such […] The post Top 10 Data Science Alternative Career Paths appeared first on Analytics Vidhya.

Data Science 329

Data Science 329

Unite.AI

JULY 14, 2024

In 2023, Meta AI proposed training its large language models (LLMs) on user data from Europe. This proposal aims to improve LLMs’ capability to understand the dialect, geography, and cultural references of European users. Meta wished to expand into Europe to optimize the accuracy of its artificial intelligence (AI) technology systems by training them to use user data.

Large Language Models 214

Large Language Models AI AI Explainable AI 214

Marktechpost

JULY 14, 2024

The field of robotics is seeing transformative changes with the integration of generative methods like large language models (LLMs). These advancements enable the developing of sophisticated systems that autonomously navigate and adapt to various environments. The application of LLMs in robot design and control processes represents a significant leap forward, offering the potential to create robots that are more efficient & capable of performing complex tasks with greater autonomy.

Large Language Models 138

Large Language Models Robotics Algorithm Machine Learning 138

Machine Learning Research at Apple

JULY 14, 2024

In this paper, we address the problem of estimating the rotational extrinsics, as well as the scale factors of two gyroscopes rigidly mounted on the same device. In particular, we formulate the problem as a least-squares minimization and introduce a direct algorithm that computes the estimated quantities without any iterations, hence avoiding local minima and improving efficiency.

Algorithm 59

Algorithm 59

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 14, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in language generation tasks. However, their training process, which involves unsupervised learning from extensive datasets followed by supervised fine-tuning, presents significant challenges. The primary concern stems from the nature of pre-training datasets, such as Common Crawl, which often contain undesirable content.

Large Language Models 136

Large Language Models LLM ML AI 136

Marktechpost

JULY 14, 2024

The release of the European LLM Leaderboard by the OpenGPT-X team presents a great milestone in developing and evaluating multilingual language models. The project, supported by TU Dresden and a consortium of ten partners from various sectors, aims to advance language models’ capabilities in handling multiple languages, thereby reducing digital language barriers and enhancing the versatility of AI applications across Europe.

LLM 134

LLM Large Language Models Natural Language Processing Artificial Intelligence 134

Machine Learning Research at Apple

JULY 14, 2024

In this work, we study how well the learned weights of a neural network utilize the space available to them. This notion is related to capacity, but additionally incorporates the interaction of the network architecture with the dataset. Most learned weights appear to be full rank, and are therefore not amenable to low rank decomposition. This deceptively implies that the weights are utilizing the entire space available to them.

Neural Network 52

Neural Network 52

Marktechpost

JULY 14, 2024

Artificial intelligence (AI) has transformed traditional research, propelling it to unprecedented heights. However, it has a ways to go regarding other spheres of its application. A critical issue in AI is training models to perform causal reasoning. Traditional methods heavily depend on large datasets with explicitly marked causal relationships, which are often expensive and challenging to obtain.

AI Modeling 128

AI Modeling Large Language Models AI AI 128

Machine Learning Research at Apple

JULY 14, 2024

We investigate the out-of-domain generalization of random feature (RF) models and Transformers. We first prove that in the ‘generalization on the unseen (GOTU)’ setting, where training data is fully seen in some part of the domain but testing is made on another part, and for RF models in the small feature regime, the convergence takes place to interpolators of minimal degree as in the Boolean case (Abbe et al., 2023).

Explainability 52

Explainability 52

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Business Intelligence

Marktechpost

JULY 14, 2024

Large Language Models (LLMs) built on the Transformer architecture have recently attained important technological milestones. The remarkable skills of these models in comprehending and producing writing that resembles that of a human have had a significant impact on a variety of Artificial Intelligence (AI) applications. Although these models function admirably, there are many obstacles to successfully implementing them in low-resource contexts.

Large Language Models 122

Large Language Models LLM Artificial Intelligence Artificial Intelligence 122

Machine Learning Research at Apple

JULY 14, 2024

Large Language Model (LLM) agents, capable of performing a broad range of actions, such as invoking tools and controlling robots, show great potential in tackling real-world challenges. LLM agents are typically prompted to produce actions by generating JSON or text in a pre-defined format, which is usually limited by constrained action space (e.g., the scope of pre-defined tools) and restricted flexibility (e.g., inability to compose multiple tools).

LLM 52

LLM Large Language Models Robotics Python 52

Marktechpost

JULY 14, 2024

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. Chatbots powered by LLMs can engage in naturalistic dialogues, providing a wide range of services. The effectiveness of these chatbots relies heavily on high-quality instruction-following data used in post-training, enabling them to assist and communicate effectively with humans.

Natural Language Processing 117

Natural Language Processing Large Language Models Chatbots LLM 117

Pickl AI

JULY 14, 2024

Summary: This blog explores the different types of keys in DBMS, including Primary, Unique, Foreign, Composite, and Super Keys. It highlights their unique functionalities and applications, emphasising their roles in maintaining data integrity and facilitating efficient data retrieval in database design and management. Introduction In Database Management Systems (DBMS), keys are pivotal in maintaining data integrity and facilitating efficient data retrieval.

Data Integration 52

Data Integration Algorithm Generative AI Data Science 52

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 14, 2024

Transformer-based LLMs like ChatGPT and LLaMA excel in tasks requiring domain expertise and complex reasoning due to their large parameter sizes and extensive training data. However, their substantial computational and storage demands limit broader applications. Quantization addresses these challenges by converting 32-bit parameters to smaller bit sizes, enhancing storage efficiency and computational speed.

Large Language Models 114

Large Language Models LLM Neural Network AI 114

Robot Writers AI

JULY 14, 2024

Says Microsoft: We’re going to help ourselves to your Web content, thank you Apparently, when it comes to copyright law, Microsoft never got the memo. According to Mustafa Suleyman, Microsoft’s CEO of AI, as reported by writer Sean Endicott: “With respect to content that is already on the open Web, the social contract of that content since the 90s has been that it is fair use. “Anyone can copy it, recreate with it, reproduce with it.

Auto-complete 52

Auto-complete Robotics Automation ChatGPT 52

Marktechpost

JULY 14, 2024

Evaluating the performance of large language model (LLM) inference systems using conventional metrics presents significant challenges. Metrics such as Time To First Token (TTFT) and Time Between Tokens (TBT) do not capture the complete user experience during real-time interactions. This gap is critical in applications like chat and translation, where responsiveness directly affects user satisfaction.

LLM 115

LLM Large Language Models AI AI 115

TheSequence

JULY 14, 2024

Created Using Ideogram Next Week in The Sequence: Edge 413: Our series about autonomous agents continues with an exploration of semantic memory. We review Meta AI’s MM-LLM research to augment video models with memory and we dive into the Qdrant vector DB stack. Edge 414: We dive into HUSKY, a new agent optimized for multi-step reasoning. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

Algorithm 52

Algorithm LLM OpenAI AI Research 52

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 14, 2024

Language model adaptation is a crucial area in artificial intelligence, focusing on enhancing large pre-trained language models to work effectively across various languages. This research is vital for enabling these models to understand and generate text in multiple languages, which is essential for global AI applications. Despite the impressive performance of LLMs in English, their capabilities significantly drop when adapted to less prevalent languages, making additional adaptation techniques

AI Modeling 114

AI Modeling Large Language Models Artificial Intelligence Artificial Intelligence 114

Marktechpost

JULY 14, 2024

Collecting, monitoring, and maintaining a web data pipeline can be daunting and time-consuming when dealing with large amounts of data. Traditional approaches’ struggles can compromise data quality and availability with pagination, dynamic content, bot detection, and site modifications. Building an in-house technical staff or outsourcing to a low-cost nation are two common options for companies looking to meet their web data needs.

Data Extraction 111

Data Extraction Automation Data Quality AI 111

Marktechpost

JULY 14, 2024

Conversational Recommender Systems (CRS) are revolutionizing how users make decisions by offering personalized suggestions through interactive dialogue interfaces. Unlike traditional systems that present predetermined options, CRS allows users to dynamically input and refine their preferences, significantly reducing information overload. By incorporating feedback loops and advanced machine learning techniques, CRS provides an engaging and intuitive user experience.

ChatGPT 133

ChatGPT Large Language Models LLM Machine Learning 133

Marktechpost

JULY 14, 2024

Scaling Transformer-based models to over 100 billion parameters has led to groundbreaking results in natural language processing. These large language models excel in various applications, but deploying them efficiently poses challenges due to the sequential nature of generative inference, where each token’s computation relies on the preceding tokens.

Large Language Models 108

Large Language Models Natural Language Processing Chatbots ML 108

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