Analytics Vidhya

JULY 27, 2024

Introduction Imagine transforming any text into a captivating voice at the touch of a button. ElevenLabs is revolutionizing this experience with its state-of-the-art voice synthesis and AI-driven audio solutions, setting new standards in the AI industry. This article takes you through ElevenLabs’ remarkable features, offers a step-by-step demo on effectively using its API, and highlights […] The post ElevenLabs API: A Comprehensive Guide to Voice Synthesis, Cloning, and Real-Time Con

AI 248

AI AI Python Artificial Intelligence 248

Marktechpost

JULY 27, 2024

Competition significantly shapes human societies, influencing economics, social structures, and technology. Traditional research on competition, relying on empirical studies, is limited by data accessibility and lacks micro-level insights. Agent-based modeling (ABM) emerged to overcome these limitations, progressing from rule-based to machine learning-based agents.

Large Language Models 131

Large Language Models Artificial Intelligence Artificial Intelligence LLM 131

Analytics Vidhya

JULY 27, 2024

Introduction Understanding the significance of a word in a text is crucial for analyzing and interpreting large volumes of data. This is where the term frequency-inverse document frequency (TF-IDF) technique in Natural Language Processing (NLP) comes into play. By overcoming the limitations of the traditional bag of words approach, TF-IDF enhances text classification and bolsters […] The post How Do You Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer?

Natural Language Processing 234

Natural Language Processing NLP Python 234

Marktechpost

JULY 27, 2024

The landscape of artificial intelligence has seen significant advancements with the introduction of state-of-the-art language models. Among the leading models are Llama 3.1, GPT-4o, and Claude 3.5. Each model brings unique capabilities and improvements, reflecting the ongoing evolution of AI technology. Let’s analyze these three prominent models, examining their strengths, architectures, and use cases.

AI Modeling 131

AI Modeling Artificial Intelligence Artificial Intelligence AI 131

Speaker: Carolyn Clark and Miriam Connaughton

The future of HR is here, and it's all about collaboration, innovation, and impact. Join us for a forward-thinking session where seasoned experts Miriam and Carolyn will share insights and practical strategies to help you stay ahead of evolving HR trends. Discover how to build strong partnerships with internal teams to craft a transparent, authentic, and connected workforce experience.

AI

Towards AI

JULY 27, 2024

Author(s): Jennifer Wales Originally published on Towards AI. Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. Here, let us learn more about Claude AI and its benefits Ever since the launch of ChatGPT, many other companies have also joined the race to bring excellent generative AI models into the world that not only help users create realistic content but are also safe to use, and free from bias.

ChatGPT 96

ChatGPT Prompt Engineer Prompt Engineering Explainability 96

Towards AI

JULY 27, 2024

Last Updated on July 27, 2024 by Editorial Team Author(s): Chiapeilie Originally published on Towards AI. Boost Code Efficiency, Maintainability, and Concurrency with These Essential TechniquesPhoto by Hitesh Choudhary on Unsplash Functional programming (FP) is a programming paradigm that emphasizes the use of pure functions for computation and data processing.

Python 87

Python AI AI Data Science 87

Marktechpost

JULY 27, 2024

Recent advancements in LLM capabilities have increased their usability by enabling them to do a broader range of general activities autonomously. The existing methods for expressing and running LM programs could be more efficient, although they are widely used. There are two main obstacles to effective LM program utilization: The non-deterministic character of LLMs makes programming LM programs tedious and complex.

Inference Engine 116

Inference Engine LLM Software Development Python 116

Bugra Akyildiz

JULY 27, 2024

Articles Google Research published a blog post on an approach to assist Google developers in the process of large-scale code migrations using ML-driven workflows. Problem To Solve Over the past decades, source code bases have grown exponentially, making it increasingly difficult to manage and update them. Google's monorepo, which contains billions of lines of code, exemplifies the complexity involved in maintaining such vast codebases.

Neural Network 98

Neural Network Large Language Models LLM Deep Learning 98

Marktechpost

JULY 27, 2024

Evaluating model performance is essential in the significantly advancing fields of Artificial Intelligence and Machine Learning, especially with the introduction of Large Language Models (LLMs). This review procedure helps understand these models’ capabilities and create dependable systems based on them. However, what is referred to as Questionable Research Practices (QRPs) frequently jeopardize the integrity of these assessments.

Machine Learning 116

Machine Learning ML Metadata Large Language Models 116

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 27, 2024

Autonomous web navigation focuses on developing AI agents capable of performing complex online tasks. These tasks range from data retrieval and form submissions to more intricate activities like finding the cheapest flights or booking accommodations. By leveraging large language models (LLMs) and other AI methodologies, autonomous web navigation aims to enhance productivity in both consumer and enterprise domains by automating tasks that are typically manual and time-consuming.

Automation 113

Automation Large Language Models AI AI 113

Marktechpost

JULY 27, 2024

Causal effect estimation is crucial for understanding the impact of interventions in various domains, such as healthcare, social sciences, and economics. This area of research focuses on determining how changes in one variable cause changes in another, which is essential for informed decision-making. Traditional methods often involve extensive data collection and structured experiments, which can be time-consuming and costly.

Large Language Models 109

Large Language Models Automation ML AI 109

Marktechpost

JULY 27, 2024

Aligning models with human preferences poses significant challenges in AI research, particularly in high-dimensional and sequential decision-making tasks. Traditional Reinforcement Learning from Human Feedback (RLHF) methods require learning a reward function from human feedback and then optimizing this reward using RL algorithms. This two-phase approach is computationally complex, often leading to high variance in policy gradients and instability in dynamic programming, making it impractical fo

Machine Learning 109

Machine Learning Large Language Models Algorithm Robotics 109

Marktechpost

JULY 27, 2024

Parameter-efficient fine-tuning (PEFT) methods have become essential in machine learning. They allow large models to adapt to new tasks without extensive computational resources. By fine-tuning only a small subset of parameters while keeping most of the model frozen, PEFT methods aim to make the adaptation process more efficient and accessible. This approach is crucial for deploying large foundational models, otherwise constrained by their high computational costs and extensive parameter counts.

Machine Learning 109

Machine Learning Natural Language Processing Automation ML 109

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Marktechpost

JULY 27, 2024

In a groundbreaking achievement, AI systems developed by Google DeepMind have attained a silver medal-level score in the 2024 International Mathematical Olympiad (IMO), a prestigious global competition for young mathematicians. The AI models, named AlphaProof and AlphaGeometry 2, successfully solved four out of six complex math problems, scoring 28 out of 42 points.

Continuous Learning 108

Continuous Learning Algorithm ML AI Modeling 108

Marktechpost

JULY 27, 2024

Generative Artificial Intelligence (GenAI), particularly large language models (LLMs) like ChatGPT, has revolutionized the field of natural language processing (NLP). These models can produce coherent and contextually relevant text, enhancing applications in customer service, virtual assistance, and content creation. Their ability to generate human-like text stems from training on vast datasets and leveraging deep learning architectures.

ChatGPT 104

ChatGPT Large Language Models Natural Language Processing OpenAI 104

Marktechpost

JULY 27, 2024

Large Language Models (LLMs) can improve their final answers by dedicating additional computer power to intermediate thought generation during inference. System 2 strategies are used in this procedure to mimic intentional and conscious reasoning. Many more System 2 strategies, such as Rephrase and Respond, System 2 Attention, and Branch-Solve-Merge, have been proposed since the introduction of the Chain-of-Thought method.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Large Language Models LLM 103