Analytics Vidhya

FEBRUARY 18, 2024

Are you looking for your digital doppelganger? Ever wished you could use your voice for YouTube or podcast narration, even when you’re not recording? Say hello to voice cloning, the sci-fi tech that’s become surprisingly accessible thanks to platforms like ElevenLabs. In this article, we’ll peel back the curtain on this fascinating technology, showing you […] The post Create your Own AI Voice Clone using Elevenlabs appeared first on Analytics Vidhya.

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AI AI Generative AI Artificial Intelligence 305

Aiiot Talk

FEBRUARY 18, 2024

The circular economy — an innovative model focused on minimizing waste and maximizing resource use — is a crucial approach in today’s push toward sustainability. Encouraging practices like reusing, recycling, and refurbishing aims to reduce environmental impacts and align with the global shift toward sustainable development across industries. In this landscape, the Internet of Things (IoT) emerges as a transformative force, offering the tools to advance circular economy models.

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Data Analysis Robotics Artificial Intelligence Artificial Intelligence 130

Towards AI

FEBRUARY 18, 2024

Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Trying out the agents to do data scientist activityImage generated by DALL-E 3 LLM-based Agents or LLM Agents are agent structures that could execute complex tasks with LLM applications that have an architecture that combines LLMs with components like planning and memory. In simpler terms, LLM Agents is a tool where LLM is the brain and orchestrates the decision to achieve the goals.

Data Science 119

Data Science LLM Data Scientist Explainability 119

Shreyansh Singh

FEBRUARY 18, 2024

Technical Paper : Sora - Creating video from text Blog : Video generation models as world simulators These are just short notes / excerpts from the technical paper for quick lookup. Sora is quite a breakthrough. It is able to understand and simulate the physical world, generating upto 60s long high-definition videos while maintaining the quality, scene continuation and following the user’s prompt.

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OpenAI 52

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

FEBRUARY 18, 2024

Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Embracing a focused reporting approach in the data-driven era to overcome the pitfalls of excessive reporting and enable efficient and effective decision-making.Photo by Fey Marin on Unsplash In the contemporary business landscape, data-driven decision-making is no longer a luxury but a necessity.

Data Analysis 116

Data Analysis Data Science AI AI 116

Towards AI

FEBRUARY 18, 2024

Author(s): Danish Javed Originally published on Towards AI. Flow Diagram of Architecture Followed in Article Introduction: Larger textual files may be more difficult to manage than tabular data because tabular data facilitates understanding by visualizing information in an organized manner.This article will show how to use NLP (Natural Language Processing) techniques to convert large text files to tabular data frames in Python.

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NLP Natural Language Processing Python AI 116

Mlearning.ai

FEBRUARY 18, 2024

Intorduction The computer vision research community relies on standardized datasets to assess the efficacy of novel models and enhancements to existing ones. These datasets function as universally applicable benchmarks, facilitating comparisons across different models. This methodology enables the evaluation of the relative effectiveness of various models, shedding light on their comparative performance.

Computer Vision 52

Computer Vision Machine Learning Algorithm ML 52

Towards AI

FEBRUARY 18, 2024

Author(s): Akanksha Anand (Ak) Originally published on Towards AI. Photo by SHVETS production from Pexels As per the routine I follow every time, here I am with the Python implementation of Causal Impact. If you haven’t read my previous blogs in the series, set your worries aside as I have covered the basics in these blogs: Causal Inference — The Game Changer When knowing beats guessing medium.com Methods of Causal Inference Investigating the methodology behind the rationale medium.com Dataset T

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Python Algorithm AI AI 116

Mlearning.ai

FEBRUARY 18, 2024

Explanation of the Paper Fuzzy Cognitive Map-Based Genetic Algorithm for Community Detection. Introduction Detecting communities is an active area of research. Detecting communities in networks can be done using the genetic Algorithm(GA). Many approaches are trying to improve the performance of GA in detecting communities. Fuzzy cognetive maps are applied in this paper to reduce convergence time.

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Algorithm Cognitive Map ML 52

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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

FEBRUARY 18, 2024

Author(s): zhaozhiming Originally published on Towards AI. Today, let’s explore Xinference, a deployment and inference tool for Large Language Models (LLMs), characterized by its quick deployment, ease of use, efficient inference, support for various open-source models, and provision of both a WebGUI interface and API endpoints for convenient model deployment and inference.

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Large Language Models Data Scientist Python AI Modeling 115

Mlearning.ai

FEBRUARY 18, 2024

Should you use this metric for your next ML project? Continue reading on MLearning.

Machine Learning 52

Machine Learning ML Data Science 52

Towards AI

FEBRUARY 18, 2024

Author(s): Rashida Nasrin Sucky Originally published on Towards AI. How to Improve Your Model Training Time and to Prevent Overfitting Using EarlyStopping and Plot the Losses and Metrics Live While TrainingPhoto by Pierre Bamin on Unsplash Keras library has several callback functions that make your model training very efficient. One of them is EarlyStopping which I love to use.

Python 113

Python AI AI Data Science 113

Mlearning.ai

FEBRUARY 18, 2024

Shattering Illusions of Digital Trustworthiness Continue reading on MLearning.

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AI AI ML Artificial Intelligence 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.

Towards AI

FEBRUARY 18, 2024

Last Updated on February 18, 2024 by Editorial Team Author(s): Meng Li Originally published on Towards AI. Meng Li DALL·E 3 Created Currently, the cost of using the Sora video generation tool is unknown, as it has yet to be officially made available to users. However, a ChatGPT Plus account can generate up to 50 images per day. Calculated at 25 frames per second, this amounts to a video duration of two seconds.

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ChatGPT AI AI Machine Learning 105

TheSequence

FEBRUARY 18, 2024

Created Using DALL-E Next Week in The Sequence: Edge 371: Our series about reasoning in LLMs continues with an exploration of the Skeleton-of-Thoughts(SoT) method. We review the original SoT paper by Microsoft Research and the Dify framework for developing LLM applications. Edge 372: We review the research behind CALM. Google Deepmind’s technique to augment LLMs with, well, other LLMs!

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OpenAI LLM Generative AI ML 109

Robot Writers AI

FEBRUARY 18, 2024

ChatGPT-Maker Readies New ‘Instant Video’ Tool OpenAI is currently testing a new AI tool — dubbed ‘Sora’ — that can auto-generate a high-quality, 60-second video using just a string of words as input. Observes writer Cade Metz: OpenAI has designed a system “that creates videos that look as if they were lifted from a Hollywood movie. “A demonstration included short videos — created in minutes — of woolly mammoths trotting through a snowy meadow, a m

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OpenAI ChatGPT Automation Robotics 52

Shreyansh Singh

FEBRUARY 18, 2024

Technical Paper : Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context Blog : Our next-generation model: Gemini 1.5 These are just short notes / excerpts from the technical paper for quick lookup. Actual implementational details are anyways missing in the technical paper. Gemini 1.5 Pro is a sparse MoE Transformer-based model (seems like a trend these days, after GPT-4’s rumors and Mixtral).

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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

Towards AI

FEBRUARY 18, 2024

Author(s): Abhishek Chaudhary Originally published on Towards AI. In the previous article we made use of probability distribution to create a name generator, we also looked into using a simple neural network. We concluded the article with the observation that even though a simple neural network with a single character input and single layer didn’t work better than the probabilistic approach, it offers significant flexibility in terms of input dimensionality.

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Neural Network AI AI Data Science 97

BAIR

FEBRUARY 18, 2024

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LLM Neural Network AI AI 100