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.

Chatbots 312

Chatbots Natural Language Processing NLP OpenAI 312

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 131

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 111

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: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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 110

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.

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Machine Learning Deep Learning Algorithm Data Mining 107

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 124

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.

Machine Learning 105

Machine Learning ML Data Quality 105

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

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

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 103

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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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 84

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.

BERT 52

BERT 52

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.

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 Automation ChatGPT 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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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

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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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

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.

NLP 40

NLP 40

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 108

Marktechpost

JANUARY 28, 2024

Recent advances in language models showcase impressive zero-shot voice conversion (VC) capabilities. Nevertheless, prevailing VC models rooted in language models usually utilize offline conversion from source semantics to acoustic features, necessitating the entirety of the source speech and limiting their application to real-time scenarios. In this research, a team of researchers from Northwestern Polytechnical University, China, and ByteDance introduce StreamVoice.

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AI AI ML Large Language Models 128

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

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.

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 AI AI 103