Analytics Vidhya
MARCH 28, 2024
Introduction Generative AI, in its essence, is like a wizard’s cauldron, brewing up images, text, and now videos from a set of ingredients known as data. The magic lies in its ability to learn from this data and generate new, previously unseen content strikingly similar to the real thing. Image generation models like DALL-E have […] The post Mora: An Open Source Alternative to Sora appeared first on Analytics Vidhya.
Unite.AI
MARCH 28, 2024
In 2024, the manufacturing industry is currently at the doorstep of a transformational era, one marked by the seamless integration of robotics, artificial intelligence (AI), and augmented reality/virtual reality (AR/VR). This fusion is not merely a technological trend but a paradigm shift reshaping how materials are produced, processes are optimized, and workers interact with machinery.
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Analytics Vidhya
MARCH 28, 2024
Deep learning is a powerful tool of artificial intelligence that’s changing many things. It is essential to have a good knowledge of Deep Learning, if you are aiming to make a career in AI. To make your life easy, we have made a list of some common Deep Learning ebooks, that you must read. This […] The post 12 Best Free Deep Learning eBooks appeared first on Analytics Vidhya.
IBM Journey to AI blog
MARCH 28, 2024
As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services market is forecast to grow to USD 405.30 billion by 2033, up from USD 92.64 billion in 2
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
Analytics Vidhya
MARCH 28, 2024
Introduction There has been a massive surge in applications using AI coding agents. With the increasing quality of LLMs and decreasing cost of inference, it’s only getting easier to build capable AI agents. On top of this, the tooling ecosystem is evolving rapidly, making it easier to build complex AI coding agents. The Langchain framework […] The post Build an AI Coding Agent with LangGraph by LangChain appeared first on Analytics Vidhya.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
MARCH 28, 2024
Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code. Dataset Used The Iris dataset is a classic in the field of machine learning, offering a straightforward […] The post Step-by-Step Guide to Training ML Model with No Code appeared first on Analytics Vidhya.
AI Weekly
MARCH 28, 2024
Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. marktechpost.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation, personalized customer experiences and streamlined operations.
Analytics Vidhya
MARCH 28, 2024
Introduction The One-Class Support Vector Machine (SVM) is a variant of the traditional SVM. It is specifically tailored to detect anomalies. Its primary aim is to locate instances that notably deviate from the standard. Unlike conventional Machine Learning models focused on binary or multiclass classification, the one-class SVM specializes in outlier or novelty detection within […] The post A Comprehensive Guide For SVM One-Class Classifier For Anomaly Detection appeared first on Analytic
Unite.AI
MARCH 28, 2024
Football, also known as soccer, stands out as one of the most widely enjoyed sports globally. Beyond the physical skills displayed on the field, it's the strategic nuances that bring depth and excitement to the game. As former German football striker Lukas Podolsky famously remarked, “Football is like chess, but without the dice.” DeepMind, known for its expertise in strategic gaming with successes in Chess and Go , has partnered with Liverpool FC to introduce TacticAI.
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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?
Analytics Vidhya
MARCH 28, 2024
Introduction Large Language models (LLMs) can generate coherent and contextually relevant text since they are trained on extensive datasets and leveraging billions of parameters. This immense scale endows LLMs with emergent properties, such as nuanced understanding and generation capabilities across domains surpassing simpler models. However, these advantages come at the cost of high computational requirements […] The post Optimize Resource Usage with the Mixture of Experts and Grok-1 appe
Marktechpost
MARCH 28, 2024
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such widespread adoption, feeling left out of this revolution is not uncommon. One way an individual can stay updated with the latest trends is by reading books on various facets of AI.
Analytics Vidhya
MARCH 28, 2024
Introduction When it comes to face recognition, researchers are constantly pushing the boundaries of accuracy and scalability. However, a significant challenge arises with the exponential growth of identities juxtaposed with the finite capacity of GPU memory. Previous studies have primarily focused on refining loss functions for facial feature extraction networks, with softmax-based loss functions driving […] The post Guide to Face Recognition at Massive Scale with Partial FC appeared firs
Marktechpost
MARCH 28, 2024
Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from simple data processing to complex problem-solving scenarios.
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
Analytics Vidhya
MARCH 28, 2024
Introduction In today’s data-driven world, safeguarding Personally Identifiable Information (PII) is paramount. PII encompasses data like names, addresses, phone numbers, and financial records, vital for individual identification. With the rise of artificial intelligence and its vast data processing capabilities, protecting PII while harnessing its potential for personalized experiences is crucial.
Marktechpost
MARCH 28, 2024
Transformer-based language models, like BERT and T5, are adept at various tasks but struggle with infilling—generating text within a specific location while considering both preceding and succeeding contexts. Though encoder-decoder models can handle suffixes, their training data typically includes shorter infill regions than practical ones. However, causal decoder-based models, such as GPT-3 and its successors, excel in open-ended text generation and in-context learning without task-specific fin
Analytics Vidhya
MARCH 28, 2024
Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data. A variety of solutions has been emerged in past few years , such as Databricks Delta […] The post Guide to Migrating from Databricks Delta Lake to Apache Iceberg appeared first on Analytics Vidhya.
Marktechpost
MARCH 28, 2024
In recent years, LLMs have transitioned from research tools to practical applications, largely due to their increased scale during training. However, as most of their computational resources are consumed during inference, efficient pretraining and inference are crucial. Post-training techniques like quantization, Low-Rank Adapters (LoRA), and pruning offer ways to reduce memory usage and inference time.
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.
Analytics Vidhya
MARCH 28, 2024
OpenAI is making waves in Hollywood with Sora. Imagine being able to generate short movies just by describing them in plain English! That’s precisely what Sora showcased in its recent video releases. Sora has the potential to revolutionize filmmaking by giving artists and directors a powerful new tool to explore their creativity. Sora is at its […] The post Is OpenAI’s Sora Ready to Enter Hollywood?
Marktechpost
MARCH 28, 2024
Hiring human annotators was a time-consuming and expensive technique traditionally used to create datasets for supervised fine-tuning and instruction-tuning. Due to the high cost, only a select few influential people in the area were able to create such comprehensive datasets. Nevertheless, things have altered in the past several months. Numerous top-notch synthetic fine-tuning datasets have been developed, with GPT-3.5 and GPT-4 being the most common tools.
Analytics Vidhya
MARCH 28, 2024
At Analytics Vidhya, we’re celebrating the Women of Data Science by highlighting their remarkable journeys and achievements on our blog throughout March. We believe their stories can inspire, uplift, and empower others. Today, we have the privilege of featuring Vidhya Chandrasekaran. Let’s delve into her inspiring story! Vidhya Chandrasekaran’s Journey in her own Words I […] The post Vidhya Chandrasekaran’s Journey from Kitchen to Google appeared first on Analytics Vidhya.
Marktechpost
MARCH 28, 2024
Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime constraints. These constraints hinder users from fully harnessing the potential of language models for tasks like code interpretation and execution.
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AWS Machine Learning Blog
MARCH 28, 2024
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases.
Marktechpost
MARCH 28, 2024
In today’s world, where data is distributed across various locations and privacy is paramount, Federated Learning (FL) has emerged as a game-changing solution. It enables multiple parties to train machine learning models collaboratively without sharing their data, ensuring that sensitive information remains locally stored and protected. However, a significant challenge arises when the data labels provided by human annotators are imperfect, leading to heterogeneous label noise distributions
Extreme Tech
MARCH 28, 2024
Astronomers hoped the telescope would be able to see the seeds of exoplanets, but even Webb isn't powerful enough.
Marktechpost
MARCH 28, 2024
Continual Learning (CL) is a method that focuses on gaining knowledge from dynamically changing data distributions. This technique mimics real-world scenarios and helps improve the performance of a model as it encounters new data while retaining previous information. However, CL faces a challenge called catastrophic forgetting, in which the model forgets or overwrites previous knowledge when learning new information.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
AWS Machine Learning Blog
MARCH 28, 2024
Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the resulting models yield amazingly good results for general tasks, such as text generation and entity recognition, there is evidence that models trained with domain-specific datasets can further improve LLM
databricks
MARCH 28, 2024
Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader.
Marktechpost
MARCH 28, 2024
LLMs have shown remarkable capabilities but are often too large for consumer devices. Smaller models are trained alongside larger ones, or compression techniques are applied to make them more efficient. While compressing models can significantly speed up inference without sacrificing much performance, the effectiveness of smaller models varies across different trust dimensions.
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