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.

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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.

Deep Learning 290

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AI News

MARCH 28, 2024

Databricks has announced the launch of DBRX, a powerful new open-source large language model that it claims sets a new bar for open models by outperforming established options like GPT-3.5 on industry benchmarks. The company says the 132 billion parameter DBRX model surpasses popular open-source LLMs like LLaMA 2 70B, Mixtral, and Grok-1 across language understanding, programming, and maths tasks.

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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.

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.

AI 287

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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.

ML 251

ML Machine Learning Algorithm Generative AI 251

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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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

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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.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

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

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Large Language Models LLM Machine Learning 243

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.

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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

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Algorithm Machine Learning 242

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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Python AI Tools Artificial Intelligence Artificial Intelligence 120

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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.

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Big Data 238

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.

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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.

Artificial Intelligence 235

Artificial Intelligence Artificial Intelligence Generative AI AI 235

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.

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Generative AI

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?

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OpenAI 207

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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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.

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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.

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Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Extreme Tech

MARCH 28, 2024

The spikes rip apart some viruses while preventing others from replicating. Both could help prevent the spread of disease.

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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

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Large Language Models LLM Generative AI Machine Learning 94

Marktechpost

MARCH 28, 2024

With the recent advancements in the field of Machine Learning (ML), Reinforcement Learning (RL), which is one of its branches, has become significantly popular. In RL, an agent picks up skills to interact with its surroundings by acting in a way that maximizes the sum of its rewards. The incorporation of world models into RL has emerged as a potent paradigm in recent years.

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Machine Learning ML Artificial Intelligence Artificial Intelligence 93

Extreme Tech

MARCH 28, 2024

Captured by the Event Horizon Telescope, this polarized Sagittarius A* glamor shot features vibrant, brushstroke-like shadows.

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Towards AI

MARCH 28, 2024

Last Updated on March 29, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. The secrets no one tells you but make learning ML a lot easier and enjoyable. There is a lot of scary math and code you need to understand to learn machine learning. It can be very hard! For me at least it was as well until I learned these 5 secrets, which honestly aren’t even secrets but no one really teaches you them, although everyone should know them… I mean, I spent the last 3.5 y

Machine Learning 84

Machine Learning ML AI AI 84

SAS Software

MARCH 28, 2024

The Co-Founder of Ladies Learning Code and Canada Learning Code talks about strides in Canadian computer science education, AI, the future of coding, and more. Companies use many legacy processes to empower their employees, and that's just one of the many barriers employees face in the workplace. Organizations that prioritize [.] The post Generative AI creates coding language everyone can understand appeared first on SAS Blogs.

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Towards AI

MARCH 28, 2024

Last Updated on March 29, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Fourth Week of March 2024.

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LLM Large Language Models Data Science Machine Learning 83