Analytics Vidhya

APRIL 15, 2024

Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception. RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. We solve the factuality of LLMs by RAG, where we try to give the LLM a context that is contextually similar to […] The post ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings appeared first on Analytics Vidhya.

Large Language Models 314

Large Language Models LLM BERT OpenAI 314

AI News

APRIL 15, 2024

OpenAI has announced the opening of a new office in Tokyo to drive its expansion into the Asian market. The new office aims to foster collaboration with the Japanese government, local businesses, and research institutions to develop AI tools tailored to Japan’s unique requirements. Tokyo was selected for OpenAI’s first Asian venture due to its global leadership in technology, a culture dedicated to service, and an innovative community. “We’re excited to be in Japan which

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Analytics Vidhya

APRIL 15, 2024

Introduction Google AI’s powerhouse language model, Gemini 1.5 Pro, has taken a significant step forward with its public preview release. Now accessible in over 180 countries via the Gemini API, this update boasts new features designed to empower developers and redefine human-computer interaction. This article digs deep into Gemini 1.5 Pro’s exciting new capabilities, accompanied […] The post Gemini 1.5 Pro Goes Global with Powerful New Features appeared first on Analytics Vidh

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IBM Journey to AI blog

APRIL 15, 2024

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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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

APRIL 15, 2024

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships. Addressing overfitting in convnet is crucial for building reliable neural network models. […] The post Understanding Overfitting in ConvNets appeared first on Analytics Vidhya.

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Neural Network Deep Learning Data Analysis Python 296

Analytics Vidhya

APRIL 15, 2024

Introduction In an era where artificial intelligence (AI) shapes how we live, work, and play, the engines driving these sophisticated systems are becoming ever more crucial. These engines, known as AI accelerators, have rapidly evolved, transitioning from niche components to central figures in the computing landscape. They now power everything from chatbots and virtual assistants […] The post Intel’s Gaudi 3: Setting New Standards with 40% Faster AI Acceleration than Nvidia H100 appe

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Artificial Intelligence Artificial Intelligence Chatbots AI 277

Unite.AI

APRIL 15, 2024

Adobe has announced the upcoming integration of generative AI technologies into Premiere Pro, its professional video editing software. These new features, scheduled for release later this year, aim to streamline video editing workflows and provide editors with innovative tools to enhance their creative output. The company's commitment to advancing professional video editing capabilities is evident in this preview of the breakthrough generative AI innovations set to transform the industry.

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AI Tools Generative AI AI AI 173

Analytics Vidhya

APRIL 15, 2024

Are you ready to fuel your creativity? Join our Prompt Battle! Share your prompts and let’s create magic together. Whether you’re a seasoned creator or just starting out, this is your chance to shine. Drop your prompts in the comments and let the battle for brilliance begin! How does it Work? Step 1: You give […] The post Let the Prompt Battle Begin #6 appeared first on Analytics Vidhya.

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Prompt Engineer Prompt Engineering AI AI 263

AI Impacts

APRIL 15, 2024

By Owen Cotton-Barratt With AI Impacts, we’re pleased to announce an essay competition on the automation of wisdom and philosophy. Submissions are due by July 14th. The first prize is $10,000, and there is a total of $25,000 in prizes available. Background AI is likely to automate more and more categories of thinking with time. By default, the direction the world goes in will be a result of the choices people make, and these choices will be informed by the best thinking available to them.

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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

APRIL 15, 2024

Introduction Mastering Graph Neural Networks is an important tool for processing and learning from graph-structured data. This creative method has transformed a number of fields, including drug development, recommendation systems, social network analysis, and more. Before diving into the fundamentals and GNN implementation, it’s essential to understand the fundamental concepts of graphs, including nodes, vertices, […] The post Mastering Graph Neural Networks From Graphs to Insights a

Neural Network 262

Neural Network Data Science Python Machine Learning 262

Unite.AI

APRIL 15, 2024

We live in a world where the diversity of human culture and language converges, yet, a fundamental human challenge persists: the struggle to communicate across the mosaic of global accents. In our society, people from every corner of the globe, speaking a kaleidoscope of languages, molded by distinct cultures and regions, find themselves in a melting pot of accents.

Robotics 124

Robotics AI AI Machine Learning 124

Analytics Vidhya

APRIL 15, 2024

Introduction Welcome to an in-depth exploration of ship classification using Convolutional Neural Networks (CNNs) with the Analytics Vidhya hackathon dataset. CNNs are a cornerstone of image-related tasks, known for their ability to learn hierarchical representations of images. In this project, we dive into understanding the power of CNNs to classify ships based on their visual […] The post Enhancing Ship Classification with CNNs and Transfer Learning appeared first on Analytics Vidhya.

Convolutional Neural Networks 247

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Marktechpost

APRIL 15, 2024

LLMs are expanding beyond their traditional role in dialogue systems to perform tasks actively in real-world applications. It is no longer science fiction to imagine that many interactions on the internet will be between LLM-powered systems. Currently, humans verify LLM-generated outputs for correctness before implementation due to the complexity of code comprehension.

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LLM ML Large Language Models AI 136

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

APRIL 15, 2024

Elon Musk’s xAI recently showcased a preview of its multimodal AI model Grok-1.5V, which looks quite promising. This innovative new AI model bridges the gap between textual and visual understanding, marking a significant milestone in artificial intelligence (AI). Also Read: OpenAI and Meta Set to Launch New AI Models with Reasoning Capabilities Grok-1.5V: Redefining Multimodal […] The post Elon Musk’s xAI Launches Preview of Grok-1.5V Multimodal Model appeared first on Analytic

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Marktechpost

APRIL 15, 2024

The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. GNN systems aim to optimize runtime and memory without altering model semantics.

Deep Learning 110

Deep Learning Neural Network Metadata Automation 110

SAS Software

APRIL 15, 2024

In our ongoing series spotlighting women in tech, we delve into the motivations that drive five remarkable women leaders at SAS. From AI specialists shaping ethical discourse to HR partners fostering inclusive workplaces, these women share what inspires them. Join us as we explore their diverse backgrounds and experiences in [.

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AI AI 108

Marktechpost

APRIL 15, 2024

Artificial intelligence (AI) has the potential to transform cyber defense. One of the biggest challenges in this field is the increasing sophistication of cyber threats. The sheer volume of data that security analysts have to process makes it difficult for them to identify the most pressing dangers. Additionally, cybercriminals are continually developing new strategies, using cutting-edge methods to evade detection.

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Artificial Intelligence Artificial Intelligence AI AI 106

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Generative AI

SAS Software

APRIL 15, 2024

It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.” [.

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Generative AI AI AI 99

Marktechpost

APRIL 15, 2024

In the realm of artificial intelligence, the emergence of powerful autoregressive (AR) large language models (LLMs), like the GPT series, has marked a significant milestone. Despite facing challenges such as hallucinations, these models are hailed as substantial strides toward achieving general artificial intelligence (AGI). Their effectiveness lies in their self-supervised learning strategy, which involves predicting the next token in a sequence.

Computer Vision 102

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SAS Software

APRIL 15, 2024

It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.” [.] The post Adopting generative AI in marketing: strategies from a CMO appeared first on SAS Blogs.

Generative AI 98

Generative AI AI AI 98

Marktechpost

APRIL 15, 2024

Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. While finetuning allows for adaptation to various functions with small amounts of in-domain data, it can be prohibitively expensive for large LMs. Parameter-efficient finetuning (PEFT) methods offer a solution by updating only a fraction of the weights, reducing memory usage and training time.

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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.

Artificial Lawyer

APRIL 15, 2024

As of last week, international legal group CMS has now started to use the ‘£1,000 per person, per year’ legal genAI system Harvey on paid client matters. But what is the wider AI strategy at CMS?

AI Strategy 96

AI Strategy AI AI 96

Marktechpost

APRIL 15, 2024

As climate change continuously threatens our planet and the existence of life on it, integrating machine learning (ML) and artificial intelligence (AI) into this arena offers promising solutions to predict and mitigate its impacts effectively. Let’s examine how ML contributes to advancing our response to climate challenges through improved data analysis, forecasting, system efficiency, and the development of new technologies.

Machine Learning 97

Machine Learning Data Analysis ML Artificial Intelligence 97

Artificial Lawyer

APRIL 15, 2024

A recent survey of inhouse teams found one very poignant insight: 45% of GCs and CLOs did not have an ‘appetite’ to delegate more operational ‘decisions’ to a dedicated legal ops professional (see …

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Marktechpost

APRIL 15, 2024

Chain-of-thought (CoT) prompting involves instructing language models (LMs) to reason step by step, resulting in improved performance across various arithmetic, commonsense, and symbolic reasoning domains. However, conventional CoT has limitations. While it shows performance gains in large LMs of 100+ billion parameters, it often yields repetitive and vacuous rationales due to their lack of faithfulness to input instances and tendency to produce unaligned rationales and answers.

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Artificial Corner

APRIL 15, 2024

Hi! I’ve made a list of Python mistakes we often make as beginners. Some of these mistakes I used to make them when I was a beginner and I discovered the rest when reading other people’s code. You can see the complete list in my YouTube video below.

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Python 85

Extreme Tech

APRIL 15, 2024

Previously reserved for government employees, Malware Next-Gen now allows submissions from any person or organization in the country.

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SAS Software

APRIL 15, 2024

It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.” [.

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Generative AI AI AI 61