CybAI news - - Page 3115

22 May

Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions • David Stutz

stp2y0 CommentsGenAI

A PhD can be a difficult endeavour. While becoming an expert in tackling a specific problems, it is easy to lose track of things: Have I read this paper before? What was the paper saying? Why did we decide to change course? Why am I running these experiments? Who did I talk to at the last conference? Throughout my PhD, I learned that documenting these things made me significantly more effective with minimal overhead. In this article, I want to share some learnings around what and how to keep track of PhD work. Introduction In the beginning of my PhD,…

22 May

What I learned from looking at 900 most popular open source AI tools

stp2y0 CommentsRAG models

[Hacker News discussion, LinkedIn discussion, Twitter thread] Four years ago, I did an analysis of the open source ML ecosystem. Since then, the landscape has changed, so I revisited the topic. This time, I focused exclusively on the stack around foundation models. The full list of open source AI repos is hosted at llama-police. The list is updated every 6 hours. You can also find most of them on my cool-llm-repos list on GitHub. Table of contentsData…. How to add missing reposThe New AI Stack…. AI stack over time…….. Applications…….. AI engineering…….. Model development…….. InfrastructureOpen source AI developers…. One-person billion-dollar…

22 May

Top Data Validation Tools for Machine Learning in 2024

stp2y0 CommentsViral News

Image generated with MidjourneyIt was challenging to stop myself from starting this article with some variation of the popular phrase "garbage in, garbage out." Well, I did it anyway. But jokes aside, we can easily imagine a situation in which we have built and deployed a machine learning model (possibly a black box) that accepts some input and returns some predictions. So far, so good.However, with tons of complexity happening before the model (data preprocessing and manipulation), the model itself, and any post-processing of the outputs, many things can go wrong. And in some mission-critical fields (finance, healthcare, or security),…

22 May

Data Centers’ Doubling Power Demand Seen Stressing Energy Grids – EE Times

stp2y0 CommentsNews

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> An expected doubling in power consumption by the world’s data centers during the next few years is expected to strain the capacity of electricity suppliers, according to experts who spoke with EE Times. Those power constraints, without improvements in data center efficiency, will potentially impede the expansion of AI. Electricity demand from data centers, AI and cryptocurrency miners will surge by 2026, the Paris-based International Energy Agency (IEA) said in a January report. After consuming an estimated 460 terawatt-hours (TWh) worldwide in 2022, data centers’ total energy intake could more…

22 May

Create a multimodal assistant with advanced RAG and Amazon Bedrock | Amazon Web Services

stp2y0 CommentsAI

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance in various natural language processing tasks, RAG models still face several limitations that need to be addressed. Naive RAG models face limitations such as missing content, reasoning mismatch, and challenges in handling multimodal data. Although they can retrieve relevant information, they may struggle to generate complete and coherent responses when required information is absent, leading to incomplete or inaccurate outputs. Additionally, even with relevant information retrieved, the models may…

22 May

Newsrooms are experimenting with generative AI, warts and all

stp2y0 CommentsChat-GPT

The journalism industry has been under immense economic pressure over the past two decades, so it makes sense that journalists have started experimenting with generative AI to boost their productivity. An Associated Press survey published in April 2024 asked journalists about the use of generative artificial intelligence in their work. Nearly 70% of those who responded said they had used these tools to generate text, whether it was composing article drafts, crafting headlines or writing social media posts. A May 2024 global survey conducted by the public relations firm Cision found the slice to be somewhat smaller – 47% of…

22 May

Confluent’s expands managed Apache Flink service to simplify data streaming for generative AI – SiliconANGLE

stp2y0 CommentsGenAIConfluent's expands managed Apache Flink service to simplify data streaming for generative AI, Mike Wheatley, SiliconANGLE

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework. Unlike the regular open-source Flink, it comes with a novel AI Model Inference feature that organizations can use to clean and process real-time streaming data for artificial intelligence and machine learning applications. In addition, the company announced an auto-scaling cluster type for use cases such as logging and telemetry data without time requirements. Founded in 2014, Confluent is the company that leads the development of Apache Kafka, the popular open-source big data streaming platform that enables companies to move information quickly from…

22 May

GPT-5 Is Coming: Reading Between the Lines at Microsoft Build

stp2y0 CommentsRAG models

Sponsored By: HubSpot Use AI as your personal assistant. Ready to embrace a new era of task delegation? HubSpot’s highly anticipated AI Task Delegation Playbook is your key to supercharging your productivity and saving precious time. Learn how to integrate AI technology into your processes, allowing you to optimize resource allocation and maximize output with precision and ease. Was this newsletter forwarded to you? Sign up to get it in your inbox.I’m a child of divorce, so I’m pretty good at reading between the lines. Divorced parents always say things about each other to you without actually saying them. Learning to interpret…

22 May

Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning

stp2y0 CommentsViral News

arXiv:2405.12228v1 Announce Type: new Abstract: Stochastic optimization algorithms, particularly stochastic policy gradient (SPG), report significant success in reinforcement learning (RL). Nevertheless, up to now, that how to speedily acquire an optimal solution for RL is still a challenge. To tackle this issue, this work develops a fast SPG algorithm from the perspective of utilizing a momentum, coined SPG-NM. Specifically, in SPG-NM, a novel type of the negative momentum (NM) technique is applied into the classical SPG algorithm. Different from the existing NM techniques, we have adopted a few hyper-parameters in our SPG-NM algorithm. Moreover, the computational complexity is nearly same…

22 May

YugabyteDB ♥️ Hashicorp Vault – Fun Times

stp2y0 CommentsNewscoding, community, development, distributedsql, engineering, inclusive, software, vault, yugabyte

I have been working with YugabyteDB for a while now. I am always experiment with yugbayte + (something). Today, its Vault. I have also worked on Vault for a bit and did a a lightening talk earlier this year. That talks was primarily around the data masking. But today, I was exploring the database secret engine. For the uninitiated, Vault provides you with ability to dynamically generate database credentials for your application. It does this by leveraging the simple RBAC SQLs provided by the database engine. It supports variety of databases including Postgres, and YugabyteDB by compatibility. What triggered this…