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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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.

Data Analysis 130

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

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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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

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 107

Data Analysis Data Science AI AI 107

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.

NLP 107

NLP Python Natural Language Processing AI 107

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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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 105

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

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Business Intelligence

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 97

Shreyansh Singh

FEBRUARY 18, 2024

Technical Paper : Improving Image Generation with Better Captions OpenAI’s Sora is built upon the image captioning model which was described in quite some detail in the DALL-E 3 technical report. In general, in text-image datasets, the captions omit background details or common sense relationships, e.g. sink in a kitchen or stop signs along the road.

OpenAI 52

OpenAI 52

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 97

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.

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Computer Vision Machine Learning Algorithm ML 52

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

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.

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Python AI AI Data Science 90

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

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 73

Mlearning.ai

FEBRUARY 18, 2024

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

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Machine Learning ML Data Science 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

BAIR

FEBRUARY 18, 2024

These are comments in HTML. The above header text is needed to format the title, authors, etc. The "example_post" is an example representative image (not GIF) that we use for each post for tweeting (see below as well) and for the emails to subscribers. Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly.

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LLM Neural Network AI AI 100

Mlearning.ai

FEBRUARY 18, 2024

Shattering Illusions of Digital Trustworthiness Continue reading on MLearning.

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AI AI ML Artificial Intelligence 52