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Announcing Google DeepMind – Google DeepMind

OpenAIDecember 6, 202397Views 0Likes 0Comments

Earlier today we announced some changes that will accelerate our progress in AI and help us develop more capable AI systems safely and responsibly. Below is a recap of what DeepMind CEO Demis Hassabis shared with employees: Hi Team When we launched DeepMind back in 2010, many people thought general AI was a farfetched science…

A Guide on 12 Tuning Strategies for Production-Ready RAG Applications | by Leonie Monigatti | Dec, 2023

Data ScienceDecember 6, 2023142Views 0Likes 0Comments

How to improve the performance of your Retrieval-Augmented Generation (RAG) pipeline with these “hyperparameters” and tuning strategies Tuning Strategies for Retrieval-Augmented Generation ApplicationsD ata Science is an experimental science. It starts with the “No Free Lunch Theorem,” which states that there is no one-size-fits-all algorithm that works best for every problem. And it results in…

What is an EDI Payment?

UncategorisedDecember 6, 2023115Views 0Likes 0Comments

One of the main transactions between businesses happens when a purchase order is put in place, an item or service is completed, an invoice is sent by the vendor, and the buyer makes a payment. Even many businesses today still do this manually, sending PDFs back and forth in emails, and waiting for human intervention…

7 Reasons Why You Shouldn’t Become a Data Scientist

Data AnalyticsDecember 6, 202396Views 0Likes 0Comments

Image by Editor Are you an aspiring data scientist? If so, chances are you've seen or heard of many who have successfully pivoted to a data science career. And you're hoping to make the switch someday, too. There are several things exciting about working as a data scientist. You can: Build hard and…

Deep Learning in Human Activity Recognition: This AI Research Introduces an Adaptive Approach with Raspberry Pi and LSTM for Enhanced, Location-Independent Accuracy

AI NewsDecember 5, 202394Views 0Likes 0Comments

Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data collected from various sensors. HAR aims to enable machines like smartphones, wearable devices, or smart environments to understand and interpret human activities in real-time. Traditionally, wearable sensor-based and camera-based…

How can we build human values into AI?

OpenAIDecember 5, 2023129Views 0Likes 0Comments

Responsibility & Safety Published …

LLMs for Everyone: Running LangChain and a MistralAI 7B Model in Google Colab | by Dmitrii Eliuseev | Dec, 2023

Data ScienceDecember 5, 2023168Views 0Likes 0Comments

Experimenting with Large Language Models for free Artistic representation of the LangChain, Photo by Ruan Richard Rodrigues, UnsplashEverybody knows that large language models are, by definition, large. And even not so long ago, they were available only for high-end hardware owners, or at least for people who paid for cloud access or even every API…

5 Best Interview Scheduling Software in 2023

NanonetsDecember 5, 2023141Views 0Likes 0Comments

Introduction Interview scheduling is a key part of hiring but is often not given enough attention. How well it's done really affects everyone involved. For people applying for jobs, it shows how well the company is organized and if they value people's time. For those who are hiring, it's about getting the timing right and…

5 Free Courses to Master MLOps

Data AnalyticsDecember 5, 2023147Views 0Likes 0Comments

Image generated by Microsoft Bing In today's world, where data drives decisions, simply creating machine learning (ML) models isn't enough. Organizations need to do more than build models — they need to successfully deploy, manage, and continuously improve these models in real-world scenarios. Imagine this: you've built a super-smart system to predict…

Meet DreamSync: A New Artificial Intelligence Framework to Improve Text-to-Image (T2I) Synthesis with Feedback from Image Understanding Models

AI NewsDecember 5, 2023144Views 0Likes 0Comments

Researchers from the University of Southern California, the University of Washington, Bar-Ilan University, and Google Research introduced DreamSync, which addresses the problem of enhancing alignment and aesthetic appeal in diffusion-based text-to-image (T2I) models without the need for human annotation, model architecture modifications, or reinforcement learning. It achieves this by generating candidate images, evaluating them using…