Analytics Vidhya

JANUARY 28, 2024

Introduction In the realm of natural language processing (NLP) technology, we encounter different models serving distinct purposes. There are both free and paid models available. In the paid section, the OpenAI Library provides a range of models, all of which are grounded in the transformer architecture. Over time, numerous models have been developed based on […] The post Create a Multilingual Q&A Chatbot Easily with BLOOM’s Free Tools appeared first on Analytics Vidhya.

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Chatbots Natural Language Processing NLP OpenAI 295

Marktechpost

JANUARY 28, 2024

In the evolving landscape of artificial intelligence and natural language processing, utilizing large language models (LLMs) has become increasingly prevalent. However, one of the challenges that persist in this domain is enabling these models to engage in role-play effectively. This work requires a deep understanding of language and an ability to embody diverse characters consistently.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 133

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Reinhard Sellmair Originally published on Towards AI. Photo by EJ Strat on Unsplash Sk-learn offers a wide variety of models that can be easily plugged in and tested due to their modular design. Furthermore, modularity also allows the combination of models with multiple pre-processing steps to create a pipeline that processes data to features that are then fed to the model.

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Auto-classification AI AI Machine Learning 97

Marktechpost

JANUARY 28, 2024

Language models (LMs) often struggle with reasoning tasks like math or coding, particularly in low-resource languages. This challenge arises because LMs are primarily trained on data from a few high-resource languages, leaving low-resource languages underrepresented. Previously, researchers have addressed this by continually training English-centric LMs on target languages.

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AI AI ML Large Language Models 129

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

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Medal-worthy Olympic data visuals with modular promptingDall-E image: thick dripping oil painting of the (inaccurate) dashboard displayed on a computer screen With GPT-4, even a complete Streamlit beginner can use the Python StreamLit library to create a data visualization masterpiece.

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Python AI AI Machine Learning 97

Machine Learning Research at Apple

JANUARY 28, 2024

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect for data quality.

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Machine Learning ML Data Quality 105

Marktechpost

JANUARY 28, 2024

Vision-language models (VLMs) are increasingly prevalent, offering substantial advancements in AI-driven tasks. However, one of the most significant limitations of these advanced models, including prominent ones like GPT-4V, is their constrained spatial reasoning capabilities. Spatial reasoning involves understanding objects’ positions in three-dimensional space and their spatial relationships with one another.

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AI Research AI Researcher Robotics Large Language Models 128

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Cassidy Hilton Originally published on Towards AI. Recapping the Cloud Amplifier and Snowflake Demo The combined power of Snowflake and Domo’s Cloud Amplifier is the best-kept secret in data management right now — and we’re reaching new heights every day. If you missed our demo, we dive into the technical intricacies of architecting it below.

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ETL Python Data Platform Data Integration 95

Marktechpost

JANUARY 28, 2024

With textual materials comprising a large portion of its content, the web is a continuously growing repository of real-world knowledge. Changes to information necessitate either the inclusion of new documents or revisions to older ones. This allows for the coexistence and eventual growth of numerous versions of information across different historical periods.

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Large Language Models LLM Algorithm ChatGPT 128

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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?

Business Intelligence

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Saif Ali Kheraj Originally published on Towards AI. Image by [link] Machine learning, data mining, deep learning, and advanced optimization algorithms all rely heavily on linear algebra. In this post, we will go over some of the most fundamental concepts, including Gaussian elimination, Inverse matrices, and the concept of linear dependence and independence.

Machine Learning 95

Machine Learning Deep Learning Data Mining Algorithm 95

Marktechpost

JANUARY 28, 2024

Fitness landscapes, a concept in evolutionary biology, represent how genetic variations influence an organism’s survival and reproductive success. They are formed by mapping genotypes to fitness, a measure of an organism’s ability to thrive and reproduce. These landscapes are central to understanding evolutionary processes and advancements in protein engineering.

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Explainability Deep Learning Neural Network Machine Learning 117

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Maciej Balawejder Originally published on Towards AI. One of the unfortunate properties of computer vision models is that performance deteriorates with time, leading to less reliable results. Since these models are trained on static images when deployed in production environments with constantly changing data, the patterns they’ve learned become outdated.

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Computer Vision Explainability AI AI 89

SAS Software

JANUARY 28, 2024

Use SAS DATA step to split a large binary file into smaller pieces, which can help with file upload operations, The post How to split a large file into smaller chunks using SAS appeared first on SAS Blogs.

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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

Towards AI

JANUARY 28, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Alon Cohen Originally published on Towards AI. The Chat Analyzer Table of Content · Why Did I Write This Article?· How does it work?· Data Normalization· Section A: Basic Statistic· Section B: User-Level Analysis ∘ Most Frequent Emoji (Top Freq N) ∘ Most Associated Emoji (Class-based TF-IDF)· Section C: Text Analysis ∘ Chat Explorer ∘ Conversations Summarizer· Section D: Geographics· Conclusion Why Did I Write This Article?

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Metadata NLP AI AI 75

Machine Learning Research at Apple

JANUARY 28, 2024

Recent advances in deep learning and automatic speech recognition (ASR) have enabled the end-to-end (E2E) ASR system and boosted its accuracy to a new level. The E2E systems implicitly model all conventional ASR components, such as the acoustic model (AM) and the language model (LM), in a single network trained on audio-text pairs. Despite this simpler system architecture, fusing a separate LM, trained exclusively on text corpora, into the E2E system has proven to be beneficial.

Deep Learning 52

Deep Learning 52

Robot Writers AI

JANUARY 28, 2024

Top AI-Imaging Tool Promising Auto-Video Popular AI-automated imaging tool-maker Midjourney is promising to roll-out an enhancement soon that will enable users to auto-create video using simple, conversational text-commands. While a number of text-to-video AI tools are already on the market, Midjourney is known for high-end imaging — and a video version of its tool could set a much higher benchmark for automated video, indicates writer Alex McFarland.

Auto-complete 52

Auto-complete AI Automation ChatGPT Automation 52

Machine Learning Research at Apple

JANUARY 28, 2024

Representations from models such as Bidirectional Encoder Representations from Transformers (BERT) and Hidden units BERT (HuBERT) have helped to achieve state-of-the-art performance in dimensional speech emotion recognition. Both HuBERT, and BERT models generate fairly large dimensional representations, and such models were not trained with emotion recognition task in mind.

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BERT 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

TheSequence

JANUARY 28, 2024

Created by DALL-E Next Week in The Sequence: Edge 365: We review a new LLM reasoning method: Reflexion and we dive into the original paper that proposed that technique. We also review Flowise, a visual platform for building LLM apps. Edge 366: We discuss Anthropic’s Sleeper Agents research about LLM security vulnerability. You can subscribe below!

LLM 52

LLM OpenAI AI AI 52

Machine Learning Research at Apple

JANUARY 28, 2024

Tracking biosignals is crucial for monitoring wellness and preempting the development of severe medical conditions. Today, wearable devices can conveniently record various biosignals, creating the opportunity to monitor health status without disruption to one's daily routine. Despite the widespread use of wearable devices and existing digital biomarkers, the absence of curated data with annotated medical labels hinders the development of new biomarkers to measure common health conditions.

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Explosion

JANUARY 28, 2024

A biomedical NLP framework designed to handle production workloads, built by AstraZeneca and Korea University and using spaCy under the hood.

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NLP 40

Machine Learning Research at Apple

JANUARY 28, 2024

We study differentially private stochastic convex optimization (DP-SCO) under user-level privacy where each user may hold multiple data items. Existing work for user-level DP-SCO either requires super-polynomial runtime or requires number of users that grows polynomially with the dimensionality of the problem. We develop new algorithms for user-level DP-SCO that obtain optimal rates, run in polynomial time, and require a number of users that grow logarithmically in the dimension.

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Algorithm 40

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Towards AI

JANUARY 28, 2024

Last Updated on January 30, 2024 by Editorial Team Author(s): UPDF Originally published on Towards AI. Imagine a world where you can create tailor-made GPTs without any technical expertise. OpenAI has made this dream come true. They have recently launched the GPT Store, which is seamlessly integrated into ChatGPT itself. The introduction of the GPT Store has caused a wave of excitement in the world of AGI.

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Chatbots ChatGPT OpenAI AI 89